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"displayName": "Interface Outgoing Discards"
}
}
]
},
"device-logging": {
"metrics": [
{
"key": "com.dynatrace.extension.palo-alto.generic.pandeviceincominglograte",
"metadata": {
"unit": "PerSecond",
"description": "The incoming rate in logs/s on the Device. PAN-COMMON-MIB",
"displayName": "Incoming log rate"
}
},
{
"key": "com.dynatrace.extension.palo-alto.generic.pandevicewritelograte",
"metadata": {
"unit": "PerSecond",
"description": "The write rate in logs/s on the Device. PAN-COMMON-MIB",
"displayName": "Write log rate"
}
}
]
},
"virtual_system": {
"metrics": [
{
"key": "com.dynatrace.extension.palo-alto.generic.vsys.sessions.max",
"metadata": {
"unit": "Count",
"description": null,
"displayName": "VSYS - Max Sessions"
}
},
{
"key": "com.dynatrace.extension.palo-alto.generic.vsys.sessions.active",
"metadata": {
"unit": "Count",
"description": null,
"displayName": "VSYS - Active Sessions"
}
},
{
"key": "com.dynatrace.extension.palo-alto.generic.vsys.sessions.utilization",
"metadata": {
"unit": "Percent",
"description": null,
"displayName": "VSYS - Session Utilization"
}
}
]
}
},
"minDynatraceVersion": "1.290.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Palo Alto monitoring extension is built on top of the new [Extension Framework](https://www.dynatrace.com/news/blog/extend-dynatrace-automation-and-ai-capabilities-more-easily-than-ever/).\nExtension package contains:\n* SNMP DataSource configuration,\n* dashboard template."
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "Monitor health state and performance of your Palo Alto firewalls and provide unified analysis for Ops, DevOps and IT Admins."
},
"sourceId": "use_cases"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "Simply activate the extension in your environment using in-product Hub, provide the device configuration and you’re all set up.\n\nRead more in the [SNMP Extension Documentation](https://www.dynatrace.com/support/help/extend-dynatrace/extensions20/data-sources/snmp-extensions)"
},
"sourceId": "get_started"
},
{
"type": "markdown",
"properties": {
"title": "Details",
"source": "This extension is built on top of the new [Extension 2.0 Framework](https://www.dynatrace.com/news/blog/extend-dynatrace-automation-and-ai-capabilities-more-easily-than-ever/).\n\n**The extension package contains:**\n- SNMP DataSource configuration,\n- dashboard template,\n- Unified Analysis screen template,\n- topology definition and entity extraction rules.\n\nMore information can be found in the Product News Blog:\n- [Simplified observability for your SNMP devices](https://www.dynatrace.com/news/blog/simplified-observability-for-your-snmp-devices/)"
},
"sourceId": "details"
},
{
"type": "markdown",
"properties": {
"title": "Licensing",
"source": "This extension ingests custom metrics which, depending on your licensing model, can either [consume DDUs](https://docs.dynatrace.com/docs/shortlink/metric-cost-calculation#calculation-details) or [metrics on your Dynatrace Platform Subscription](https://docs.dynatrace.com/docs/manage/dynatrace-platform-subscription/capabilities/metrics-powered-by-grail).\n\nA rough estimate of the number metric timeseries ingested by this extension is given by:\n\n```\n(number of devices * 24) + (number of interfaces * 10) + (number of virtual systems * 3) + (number of sensors across all devices) + (number of memory objects across all devices * 5)\n```\nwhere `mem_objects` includes disks and RAM slots and `sensors` corresponds to physical sensors like fan RPM and temperature.\n\nAn easier, rougher estimate is given by:\n\n```\n(number of devices * 33) + (number of interfaces * 10)\n```"
},
"sourceId": "blocks_0"
}
],
"modified": "2025-01-08T16:26:54.660246Z",
"created": "2021-04-07T21:35:17.135520Z",
"seo_title": "Palo Alto firewalls monitoring & observability",
"seo_description": "Palo Alto extension for problems detection Start your free trial today!",
"customer_story": null,
"marketing_related_content": [],
"screenshots": [
"https://dt-cdn.net/hub/palo-alto-dash-02-fotor-high_TYw9WYI.png",
"https://dt-cdn.net/hub/palo-alto-dash-01-fotor-high_T4nOjih.png",
"https://dt-cdn.net/hub/palo-alto-ua-device-01-fotor-high_Dgg4ssj.png",
"https://dt-cdn.net/hub/palo-alto-ua-device-02-fotor-high_8p2dLhd.png",
"https://dt-cdn.net/hub/palo-alto-ua-device-03-fotor-high_BoIAzGH.png",
"https://dt-cdn.net/hub/palo-alto-ua-interface-01-fotor-high_L46s9EK.png"
],
"about": "Palo Alto monitoring extension is built on top of the new [Extension Framework](https://www.dynatrace.com/news/blog/extend-dynatrace-automation-and-ai-capabilities-more-easily-than-ever/).\nExtension package contains:\n* SNMP DataSource configuration,\n* dashboard template.",
"use_cases": "Monitor health state and performance of your Palo Alto firewalls and provide unified analysis for Ops, DevOps and IT Admins.",
"supported_distributions": "",
"get_started": "Simply activate the extension in your environment using in-product Hub, provide the device configuration and you’re all set up.\n\nRead more in the [SNMP Extension Documentation](https://www.dynatrace.com/support/help/extend-dynatrace/extensions20/data-sources/snmp-extensions)"
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.palo-alto-generic@2.9.2",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "2.9.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_IU718QN.zip",
"release_notes": "#### ✨ New in this version:\n- Added dimensions `ha.peerstate`, `app.version`, `threat.version`, `av.version`, `wf.version` and `urlfiltering.version` to the metric `com.dynatrace.extension.palo-alto.generic.sys.release.dates`. These dimension values will now show as attributes of the Palo Alto Device entity.\n- Added charts for logging metrics to the Palo Alto Device entity screen.\n\n#### 🚀 Improved in this version:\n\n- The `com.dynatrace.extension.network_device.sysuptime` and `com.dynatrace.extension.palo-alto.generic.sys.uptime` now represent the time since the device was started (OID `1.3.6.1.2.1.25.1.1.0`) as opposed to the time since the SNMP service was started (OID `1.3.6.1.2.1.1.3.0`).\n\n\nℹ️ This version requires ActiveGate version 1.290.0 or higher.",
"created": "2024-09-26T12:30:50.356088Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@2.8.0",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "2.8.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_4GToboX.zip",
"release_notes": "#### 🚀 Improved in this version:\n\n- To better control licensing costs the following changes have been made to the extension's feature sets:\n - The generic interface metrics were moved from the `default` feature set to `interface`.\n - Added new feature set `hardware` to which the power consumption and sensor metrics were moved.\n - ⚠️ When automatically upgrading existing configurations, the new feature set will be disabled by default. To continue monitoring power consumption and sensor metrics you will need to manually update each monitoring configuration and enable the new feature set after upgrading. ⚠️\n- Added a `status` dimension to the `com.dynatrace.extension.palo-alto.generic.cpu.system.utilization` and `com.dynatrace.extension.palo-alto.generic.cpu.management.utilization` metrics corresponding to OID `1.3.6.1.2.1.25.3.2.1.5`.\n\n#### 🪲 Fixed in this version:\n\n- Fixed bug where interface attributes would sometimes not be populated.\n\nℹ️ This version requires ActiveGate version 1.290.0 or higher.\n",
"created": "2024-08-29T16:10:04.652555Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@2.7.0",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "2.7.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_eqHCaDX.zip",
"release_notes": "#### ✨ New in this version:\n\n- Added power usage metrics `com.dynatrace.extension.palo-alto.generic.power.available` and `com.dynatrace.extension.palo-alto.generic.power.used` and corresponding charts as part of the `general` feature set.\n- Added metrics `com.dynatrace.extension.palo-alto.generic.gateway.utilization`, `com.dynatrace.extension.palo-alto.generic.sessions.utilization`, `com.dynatrace.extension.palo-alto.generic.sessions.proxy` as part of the `gateway` feature set.\n- Added interface packet metrics `com.dynatrace.extension.palo-alto.generic.if.in.ucast.packets.count` and `com.dynatrace.extension.palo-alto.generic.if.out.ucast.packets.count` and corresponding charts as part of the `interface` feature set.\n- Added metrics `com.dynatrace.extension.palo-alto.generic.mem.allocation.units` and `com.dynatrace.extension.palo-alto.generic.mem.allocation.failures.count` as part of the `memory` feature set.\n- Added a new feature set `zone` with metrics `com.dynatrace.extension.palo-alto.generic.zone.active.tcp.cps`, `com.dynatrace.extension.palo-alto.generic.zone.active.udp.cps` and `com.dynatrace.extension.palo-alto.generic.zone.active.otherip.cps`.\n- Added a new feature set `device-logging` with metrics `com.dynatrace.extension.palo-alto.generic.pandeviceincominglograte` and `com.dynatrace.extension.palo-alto.generic.pandevicewritelograte`.\n- Added a new feature set `pan-sys` with the metric `com.dynatrace.extension.palo-alto.generic.sys.release.dates`.\n- New entities and metrics were added to represent Palo Alto as a network device\n\n#### 🚀 Improved in this version:\n\n- Changed the interface speed dimension to use the ifHighSpeed OID `1.3.6.1.2.1.31.1.1.1.15` instead of `1.3.6.1.2.1.2.2.1.5`.",
"created": "2024-06-28T13:45:45.097867Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.5.9",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.5.9",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_Q63YLzo.zip",
"release_notes": "Fixed bug where metrics weren't being picked up in management zones with Palo Alto entities.",
"created": "2024-02-23T12:38:41.583080Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.5.8",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.5.8",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_nn7akuR.zip",
"release_notes": "## Breaking changes\nDropped support for 32-bit counter octet in/out interface metrics. Only 64-bit counters are now supported. [Only devices with Firewall PAN-OS version earlier than 8.1 will be affected](https://knowledgebase.paloaltonetworks.com/KCSArticleDetail?id=kA14u000000HCchCAG&lang=en_US%E2%80%A9&refURL=http%3A%2F%2Fknowledgebase.paloaltonetworks.com%2FKCSArticleDetail).\n\nThe `interface_high_capacity` feature set was dropped as those metrics are now in the `interface` feature set. Before being able to upgrade your monitoring configurations you will need to manually disable the `interface-high-capacity` on those configurations (if enabled).",
"created": "2024-02-13T19:22:40.196091Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.5.7",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.5.7",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_QTXfwtO.zip",
"release_notes": "### Breaking changes\nThe following metrics of the `interface_high_capacity` feature set are renamed\n\n* `com.dynatrace.extension.palo-alto.generic.if.in.octets` to `com.dynatrace.extension.palo-alto.generic.if.hc.in.octets`\n* `com.dynatrace.extension.palo-alto.generic.if.out.octets` to `com.dynatrace.extension.palo-alto.generic.if.hc.out.octets`\n* `com.dynatrace.extension.palo-alto.generic.if.in.err` to `com.dynatrace.extension.palo-alto.generic.if.hc.in.err`\n* `com.dynatrace.extension.palo-alto.generic.if.out.err` to `com.dynatrace.extension.palo-alto.generic.if.hc.out.err`\n* `com.dynatrace.extension.palo-alto.generic.if.in.discards` to `com.dynatrace.extension.palo-alto.generic.if.hc.in.discards`\n* `com.dynatrace.extension.palo-alto.generic.if.out.discards` to `com.dynatrace.extension.palo-alto.generic.if.hc.out.discards`\n\nAny dashboards or metric events relying on these metrics will need to be reconfigured.\n\nCustomers not using the `interface_high_capacity` feature set are __not__ affected. \n\n### Description\nRenamed high capacity interface metrics, to fix a bug where having both the `interface` and `interface_high_capacity` feature sets enabled at the same time would cause inaccurate metrics to be ingested.",
"created": "2024-01-26T10:06:16.355216Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.5.5",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.5.5",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_tWA3xHk.zip",
"release_notes": "",
"created": "2023-10-10T09:06:31.240223Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.5.4",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.5.4",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_oy0tP2J.zip",
"release_notes": "",
"created": "2023-10-05T12:28:11.849234Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.5.3",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.5.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_MzgcYHF.zip",
"release_notes": "Fix for dashboard to be compatible with feature flags",
"created": "2023-10-03T06:47:52.307617Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.5.2",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.5.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_w4o0mvf.zip",
"release_notes": "* bugfix: added missing chartCards\n* bugfix: added featureSet with high capacity interface metrics to fix data discrepancy",
"created": "2023-03-22T10:11:38.771324Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.4.0",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.4.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_fYMEY8N.zip",
"release_notes": "## v0.4.0\n\n- Added ability to use filters for Interface Name, Admin and Operational Status",
"created": "2022-11-18T09:29:21.713212Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.3.4",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.3.4",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_1zZu6Qp.zip",
"release_notes": "Substract of suffix \".count\" in metric com.dynatrace.extension.palo-alto.generic.sys.uptime and changed it type to gauge",
"created": "2022-10-04T07:28:17.957950Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.3.2",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.3.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_zkQpvp2.zip",
"release_notes": "- added alerts in 0.3.1.\n- deleted sensors and memory entities and screens",
"created": "2022-03-25T08:58:12.405894Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.3.0",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.3.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_z3JVOWL.zip",
"release_notes": "1. New calculated metrics:\n - func:com.dynatrace.extension.palo-alto.generic.if.in.octets.bitpersec\n - func:com.dynatrace.extension.palo-alto.generic.if.out.octets.bitpersec\n - func:com.dynatrace.extension.palo-alto.generic.mem.utilization\n\n2. Corrected oid for dimension: if.keyx\n\n3. New dimension if.descr for subgroup interface\n\n4. Added topology, relationships and screens",
"created": "2022-02-21T12:43:15.088462Z"
},
{
"name": "com.dynatrace.extension.palo-alto-generic@0.1.15",
"fqn": "com.dynatrace.extension.palo-alto-generic",
"version": "0.1.15",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_oZaYTlL.zip",
"release_notes": "Version 0.1.15 (initial):\n* SNMP DataSource configuration\n* dashboard template",
"created": "2021-09-02T13:59:29.732908Z"
}
],
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"fqn": "com.dynatrace.extension.palo-alto-generic",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.palo-alto-generic/com.dynatrace.extension.palo-al_IU718QN.zip",
"release_notes": "#### ✨ New in this version:\n- Added dimensions `ha.peerstate`, `app.version`, `threat.version`, `av.version`, `wf.version` and `urlfiltering.version` to the metric `com.dynatrace.extension.palo-alto.generic.sys.release.dates`. These dimension values will now show as attributes of the Palo Alto Device entity.\n- Added charts for logging metrics to the Palo Alto Device entity screen.\n\n#### 🚀 Improved in this version:\n\n- The `com.dynatrace.extension.network_device.sysuptime` and `com.dynatrace.extension.palo-alto.generic.sys.uptime` now represent the time since the device was started (OID `1.3.6.1.2.1.25.1.1.0`) as opposed to the time since the SNMP service was started (OID `1.3.6.1.2.1.1.3.0`).\n\n\nℹ️ This version requires ActiveGate version 1.290.0 or higher.",
"created": "2024-09-26T12:30:50.356088Z"
}
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"source": "Workflows is one of the built-in apps shipped with Dynatrace. A series of actions are assembled to build processes in a graphical representation. Those workflows can automatically be triggered by events in Dynatrace, either on a schedule or manually. \n\n**This is intended for users, who:**\n* Want to automatically act on the data gathered and answers provided by Dynatrace. \n* Want to orchestrate processes and connect various applications.\n* Design and implement IT processes."
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"source": "Workflows allows you to:\n* Automatically react to Davis events or security problems. \n* Schedule reports, in line with holidays and work hours. \n* Orchestrate IT processes across your entire IT landscape. \n* Connect to both cloud and locally-gated services. \n* Combine out-of-the-box integrations with custom code.\n* Visualize automated processes in a graphical workflow interface. \n* Get live monitoring and a full audit trail of any automation execution. \n* Define flow logic with custom conditions, automatic retries, loops, and parallel processing."
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"source": "The Workflows app comes preinstalled with all Dynatrace SaaS environments. Launching the app will provide you with an overview of your existing workflows and options to create new ones from scratch or using templates. \n\nEither way will land you in the workflow editor. Feel free to change the workflow title at the top (Untitled Workflow). \n\nWe suggest sticking with the on-demand trigger to start and add a JavaScript action for the first task. It already comes with sample code which retrieves your user information and logs it. \n\nThe first time pressing the Run button will prompt you to authorize the automation service to run functions on your behalf. Select allow and run if you're fine with that. Permissions can be limited in the settings. \n\nThe execution monitor opens, presenting you with a live view on the running workflow execution. \n\nCongratulations, you successfully ran your very first workflow!"
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"source": "In our daily work we touch many applications. Connecting these systems enables you to automate your processes and break up silos. Orchestrate the old, the new, on-premises, and in the cloud. \n\n**Graphical workflows** - Compile and configure your workflows in an intuitive graphical user interface, drag-and-drop tasks and draw dependencies. A list of out-of-the-box actions for common tasks like sending notifications or creating tickets get you going quickly, while custom scripts enable you to deal with any eventuality and individual requirements. \n\n**Event triggers** - Run workflows whenever Davis™ identifies problems, notify on-call operators, and create tickets for the appropriate teams. Extend disks in your cloud environment when the storage of your services runs full or roll back a feature flag upon increased error rates. Event triggers allow you to run workflows in response to any kind of event in Dynatrace. \n\n**Schedules** - Need to poll an API every few minutes or send a report on Monday morning, but only on working days? Timezone-aware schedules combined with dynamic recurrence rules are built to accommodate the complexities of globally acting enterprises. \n\n**Live monitoring and audit ready** - Who, what, when, where, and why. See what’s happening, while it’s happening. Get a full audit trail of each task and every third-party system interaction. No magic, full transparency!\n\n**Connecting cloud and on-premises applications** - Deploy the optional EdgeConnect in your data center or cloud infrastructure. This allows Workflows to span across your cloud and on-premises applications."
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"version": "1.162.0",
"artifact": null,
"release_notes": "- **Various bugfixes**",
"created": "2023-11-20T15:58:17.058661Z"
},
{
"name": "dynatrace.automations@1.156.0",
"fqn": "dynatrace.automations",
"version": "1.156.0",
"artifact": null,
"release_notes": "- **DQL action always returns result, never a request token** - So far, the DQL action either returned the actual query result or a request token in case the query took longer. The AutomationEngine now supports stateful actions. These are re-triggered and allow context between executions till the action reaches a final state unless the task timeout is hit. For workflow users, this means that the DQL action will always return the query result unless the task timeout is hit.",
"created": "2023-11-13T08:31:08.390895Z"
},
{
"name": "dynatrace.automations@1.143.0",
"fqn": "dynatrace.automations",
"version": "1.143.0",
"artifact": null,
"release_notes": "- **Documentation and link to samples** - Access documentation, expression reference, and workflow samples directly from the help button in the upper right corner of the app.\n- **Execution features actor information** - The actor information is now available for each execution. The information is displayed on the details tab of the trigger.\n- **Create workflow from workflow template intent** - The recently added feature to create a workflow from a workflow template is also available as an intent of Workflows. For details, please see the Dynatrace Developer portal.",
"created": "2023-10-25T09:07:45.268593Z"
},
{
"name": "dynatrace.automations@1.102.0",
"fqn": "dynatrace.automations",
"version": "1.102.0",
"artifact": null,
"release_notes": "- **Export/import workflow templates** - Workflows now supports workflow templates as an additional export format. Workflow templates are smoothly transportable between environments. On import of a workflow template, a wizard guides users to verify all required apps are available in their environment and select connections as needed for actions used in workflow tasks.",
"created": "2023-10-11T11:26:28.833592Z"
},
{
"name": "dynatrace.automations@1.82.0",
"fqn": "dynatrace.automations",
"version": "1.82.0",
"artifact": null,
"release_notes": "",
"created": "2023-09-27T14:12:57.073782Z"
},
{
"name": "dynatrace.automations@1.35.2",
"fqn": "dynatrace.automations",
"version": "1.35.2",
"artifact": null,
"release_notes": "- **Immediate effect of authorization settings** - Changing authorization settings takes effect on save and will affect all subsequent task executions.\n- **Expandable inputs for task loop list, custom condition, and HTTP request action inputs** - The inputs allowing expressions, for example, task loop list option, custom conditions, and the HTTP request action inputs, are expandable now, so there is more space for expression editing.\n- **Bugfix: Exported workflows contain invalid parameters** - Fixed the problem when an exported workflow couldn't be imported due to invalid parameters.\n- **Bugfix: Support communication for deprecated widget autosuggestions** - Fixed the communication problem between the app and widgets.",
"created": "2023-09-18T14:39:53.971671Z"
},
{
"name": "dynatrace.automations@1.10.5",
"fqn": "dynatrace.automations",
"version": "1.10.5",
"artifact": null,
"release_notes": "- **Group ownership** - To better support collaboration on workflows, you can now select either a user or a group as the owner. Thus a private workflow with a group owner is accessible to all group members. Of course, any group member must have read/write/execute permissions to gain access as desired.\n- **Authorization settings guidance** - A workflow always runs in the user context of the actor. By default, the actor is the user who creates the workflow. To define which permission the AutomationEngine is allowed to leverage to run a workflow in your name, the authorization settings come into play. Suppose a workflow task fails with 403; your user is the defined workflow actor. In that case, this is either caused by your user lacking permission or you missing the grant to the AutomationEngine in the authorization settings. The authorization settings now provide feedback when you grant permission you don't possess as a user. While you can still authorize the AutomationEngine with such permission, the execution will still fail. Permission and authorization are obligatory to make it work successfully.\n- **Keyboard navigation support** - To increase a11y compliance and as a convenience feature, workflow, and execution tasks can now be tabbed through and selected via keyboard interaction.\n- **Bugfix: Ensure compatibility with future AppEngine API versions** - Upcoming versions of AppEngine API will reject requests using trailing /\n- **Bugfix: Exported workflows contain invalid parameters** - Fixed the problem when an exported workflow couldn't be imported due to invalid parameters.",
"created": "2023-09-13T13:51:07.002037Z"
},
{
"name": "dynatrace.automations@1.10.4",
"fqn": "dynatrace.automations",
"version": "1.10.4",
"artifact": null,
"release_notes": "**Bugfix: Exported workflows contain invalid parameters** - Fixed the problem when an exported workflow couldn't be imported due to invalid parameters.",
"created": "2023-09-05T11:25:41.099593Z"
},
{
"name": "dynatrace.automations@1.6.0",
"fqn": "dynatrace.automations",
"version": "1.6.0",
"artifact": null,
"release_notes": "- **a11y improvements** - Various a11y improvements.",
"created": "2023-08-23T15:53:09.655634Z"
},
{
"name": "dynatrace.automations@1.5.0",
"fqn": "dynatrace.automations",
"version": "1.5.0",
"artifact": null,
"release_notes": "- **Upload workflow** - You can create a new or update an existing workflow by uploading a workflow you obtained as JSON file.",
"created": "2023-08-07T13:33:46.535717Z"
},
{
"name": "dynatrace.automations@1.4.0",
"fqn": "dynatrace.automations",
"version": "1.4.0",
"artifact": null,
"release_notes": "- **Expression auto-completion** - The expression auto-completion is now context-aware and helps to enter a syntactically correct expression. It will suggest block expressions only where applicable. Suggestions for result expressions include the entire object structure. Suggestions include helpful filters available for expressions as well. \n- **Admin mode** - Users with permission automation:workflows:admin can activate admin mode. In admin mode, no restrictions on private workflows apply. Manage and edit any workflow as required.\nThe admin permission also allows one to create or update workflows without interfering with actor and owner configurations.\n- **Download workflow** - You can download any workflow you can access as JSON file.",
"created": "2023-07-27T09:21:20.821922Z"
},
{
"name": "dynatrace.automations@1.3.4",
"fqn": "dynatrace.automations",
"version": "1.3.4",
"artifact": null,
"release_notes": "",
"created": "2023-07-10T07:41:43.127170Z"
},
{
"name": "dynatrace.automations@1.3.3",
"fqn": "dynatrace.automations",
"version": "1.3.3",
"artifact": null,
"release_notes": "- **Bugfix: URL in http request action is not applied on copy/paste** - The URL parameter of the run http request action is updated after a paste of a value by the user",
"created": "2023-06-15T09:04:13.968916Z"
},
{
"name": "dynatrace.automations@1.2.2",
"fqn": "dynatrace.automations",
"version": "1.2.2",
"artifact": null,
"release_notes": "- **Bugfix: Execute DQL Query action does not respect limit command** - The Execute DQL Query action honors the limit specified by a user.",
"created": "2023-06-06T12:09:05.886133Z"
},
{
"name": "dynatrace.automations@1.2.1",
"fqn": "dynatrace.automations",
"version": "1.2.1",
"artifact": null,
"release_notes": "- **Bug fix - disable page layout responsiveness** - Removed breakpoint at which page layout will render the workflow editor view unusable by the overlapping details panel.",
"created": "2023-05-31T14:11:39.026300Z"
},
{
"name": "dynatrace.automations@1.1.2",
"fqn": "dynatrace.automations",
"version": "1.1.2",
"artifact": null,
"release_notes": "- **Bugfix: \"Execute DQL Query\" action does not respect limit command** - The \"Execute DQL Query\" action honors the limit specified by a user.",
"created": "2023-05-30T07:18:52.552493Z"
},
{
"name": "dynatrace.automations@1.1.1",
"fqn": "dynatrace.automations",
"version": "1.1.1",
"artifact": null,
"release_notes": "- **Adopt AutomationServer API** - Replace AutomationServer API v0.2 by v1",
"created": "2023-05-03T07:53:47.607365Z"
},
{
"name": "dynatrace.automations@1.0.1",
"fqn": "dynatrace.automations",
"version": "1.0.1",
"artifact": null,
"release_notes": "- **Bug fixes** - App is crashed after saving invalid workflow; Saving authorization settings fails because of too many permissions.",
"created": "2023-04-20T05:22:47.000238Z"
},
{
"name": "dynatrace.automations@0.26.1",
"fqn": "dynatrace.automations",
"version": "0.26.1",
"artifact": null,
"release_notes": "- **Execution List Fix** - This release fixes the issue when viewing Execution List after a workflow is deleted.",
"created": "2023-04-03T13:11:15.749083Z"
},
{
"name": "dynatrace.automations@0.25.1",
"fqn": "dynatrace.automations",
"version": "0.25.1",
"artifact": null,
"release_notes": "- **Workflow editor and monitor UI updates** - Further user interface updates to the editor and monitor, with a streamlined styling of the content and side panel appearance.\n- **Overhauled workflows and executions list appearance** - The workflows and executions list got a style update, more clearly separating individual lines and columns.\n- **Event trigger - manual run event context sample** - A manual run of a workflow with an event trigger will contain event property always, even if the app can not retrieve a sample event.\n- **Intent to search and open workflow** - The Workflows app supports two new intents. The search-workflows intent opens the workflows list with a given search term, and the open-workflow opens the editor for the given workflow identified by its ID.\n- **Auto completion support for event properties** - While editing workflows with event triggers, the auto-completion for expressions in task inputs will allow you to select from all properties of the selected event.\n- **Bug: business schedule breaks schedule configuration** - Fixes a bug where the usage of business calendar configuration disallows the creation or update of a scheduling rule.\n- **Signed by new certificate** - The app is secured with latest app-signing certificate.",
"created": "2023-03-14T12:27:18.455083Z"
},
{
"name": "dynatrace.automations@0.23.1",
"fqn": "dynatrace.automations",
"version": "0.23.1",
"artifact": null,
"release_notes": "- **Re-release signed by new certificate** - No functional changes.",
"created": "2023-01-26T15:44:35.003475Z"
},
{
"name": "dynatrace.automations@0.23.0",
"fqn": "dynatrace.automations",
"version": "0.23.0",
"artifact": null,
"release_notes": "- **Schedule trigger forms** - We reworked the schedule trigger forms to make the editing more intuitive.\n- **Workflows owner filter** - The list of available workflows allows you to filter by owner.\n- **Executions trigger type filter** - The list of executions allows you to filter by trigger type (manual, schedule, or event) \n- **Workflow editor UI update** - The workflow editor got a significant styling update. The task nodes have a more ergonomic styling. The tasks and the details panel show the app icon to let you determine the app context of the action. \n- **Execution monitor UI update** - The execution monitor got a significant styling update similar to the workflow editor. Tasks in the monitor now show their description too. The task details provide access to the execution ID.\n- **HTTP action - HTTP headers** - The HTTP headers now provide a convenient input to add, edit and remove individual headers.",
"created": "2023-01-16T15:30:01.575849Z"
},
{
"name": "dynatrace.automations@0.22.1",
"fqn": "dynatrace.automations",
"version": "0.22.1",
"artifact": null,
"release_notes": "- **Bug: failure during verification of action availability** - Due to an issue, while verifying the availability of an app for an action, an error view was shown, despite the app being available.",
"created": "2023-01-09T15:43:46.443740Z"
},
{
"name": "dynatrace.automations@0.22.0",
"fqn": "dynatrace.automations",
"version": "0.22.0",
"artifact": null,
"release_notes": "- **Workflows App** - The app and its concepts were renamed from _Automations_ to _Workflows_ . There is no whatsoever impact on the behavior of your workflows, formerly known as automations. \n- **advanced scheduling rules** - Use fixed-, conditional offset-, and grouping rules on top of the already available recurring scheduling rule to configure schedules to solve your advanced scheduling scenario.\n- **Run DQL action** - The new action allows you to run DQL queries without any coding required.",
"created": "2023-01-02T12:34:04.218123Z"
},
{
"name": "dynatrace.automations@0.21.0",
"fqn": "dynatrace.automations",
"version": "0.21.0",
"artifact": null,
"release_notes": "- **DAVIS event triggers** - Additionally to DAVIS problems, DAVIS events can now be used as trigger type for automations.\n- **search and browse actions** - When adding tasks, you can choose which action to select. Search for actions and browse them grouped by app.\n- **Save is the new publish** - We updated the terminology. Publish is replaced by save. Saving an automation will do what it says, and any trigger configuration will take immediate effect.",
"created": "2022-12-02T09:26:01.553028Z"
},
{
"name": "dynatrace.automations@0.20.0",
"fqn": "dynatrace.automations",
"version": "0.20.0",
"artifact": null,
"release_notes": "- **Intent to create automation** - The create automation intent now supports available event trigger types. To learn about the payload, take a look at existing automations and the API requests containing event trigger definitions.\n- **Unsaved changes warning** - You will see a notice if you try to navigate away from an automation where pending changes.\n- **Readable owner names** - The list of automations shows the owner with their name and email address as a tooltip. If a user is not associated with the current tenant anymore, it will say unknown and show the user's UUID.\n- **Open in new tab** - Menu entries allow opening in a new tab using mouse middle click.\n- **Change private/public access to automation** - Changing the availability of an automation from private to public or the other way round was available only on the context menu in the automations list. You can now perform this action from within the automation editor and the automation context menu.",
"created": "2022-11-16T16:29:45.513504Z"
},
{
"name": "dynatrace.automations@0.18.0",
"fqn": "dynatrace.automations",
"version": "0.18.0",
"artifact": null,
"release_notes": "- **Updated app icon and id** - New Icon for the Automations app and change of id to dynatrace.automations",
"created": "2022-10-10T08:21:22.726028Z"
}
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"title": "Amazon Route 53",
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"logo": "https://dt-cdn.net/hub/logos/amazon-route-53.png",
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"title": "Amazon Inspector",
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"source": "- Simplify database monitoring with a comprehensive, unified view of database usage, reducing reliance on vendor-specific tools.\n- Share the same perspective with all users using a single tool without the need for vendor-specific database management tools.\n- Track the performance and availability of all databases in a unified way.\n- Monitor the performance of the most expensive database statements. \n\nComing soon\n- Database administrators (DBAs) can analyze query plans to optimize a statement's performance.\n- App owners can efficiently manage databases through a detailed server-level view, enabling quicker problem resolution and fostering collaboration with DBAs."
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"source": "This application is a brief introduction of a planned end-to-end observability and intelligent tracing for databases application. Please share your feedback about the application via a [dedicated Dynatrace feedback channel](https://community.dynatrace.com/t5/Feedback-channel/Feedback-channel-for-the-Database-monitoring-extensions/td-p/189089) or by raising a [product idea](https://community.dynatrace.com/t5/Dynatrace-product-ideas/idb-p/DynatraceProductIdeas)."
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"source": "Query performance tracking may expose sensitive data in reported statements. Consequently, Dynatrace provides an optional mechanism that allows masking of selected attributes. Details are available in [Dynatrace Documentation](https://www.dynatrace.com/support/help/shortlink/lma-log-processing-examples).\n\nThe configurations below shows you how to hide data, specifically for the purpose of query performance tracking.\n\nThe first option is to create a processing rule under ```Settings -> Log Monitoring -> Processing``` by filling ```Processor definition``` e.g. \n``` USING(INOUT content) | FIELDS_ADD(content: REPLACE_PATTERN(content, \"(\\\"'\\\"):p1 (LD):p2 (\\\"'\\\"):p3\", \"${p1}${p2|sha1}${p3}\")) ``` .\n\n\n\nThe same can be achieved by extension modification, which involves additional ```logProcessingRules``` section.\n\n```\nlogProcessingRules:\n - ruleName: TopN statements masking\n query: event.group=\"query_performance\"\n enabled: true\n ProcessorDefinition:\n rule: |\n USING(INOUT content) | FIELDS_ADD(content: REPLACE_PATTERN(content, \"(\\\"'\\\"):p1 (LD):p2 (\\\"'\\\"):p3\", \"${p1}${p2|sha1}${p3}\"))\n RuleTesting:\n sampleLog: |\n {\n \"event.group\": \"query_performance\",\n \"content\": \"/*dt:ownQuery*/SELECT DECODE(name, 'sessions', value) AS sessions_limit, DECODE(name, 'processes', value) AS processes_limit FROM v$parameter WHERE name IN('sessions', 'processes')\"\n }\n```\n\nPlease adjust the above rule to match your environment, if needed."
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"title": "Overview",
"source": "This extension provides the ability to remotely monitor your Confluent Cloud Kafka Clusters, Connectors, Schema Registries, and KSQL DB Applications. Every minute using the API provided by Confluent it ingests data about how your different Confluent Resources are performing. \n\n**This is intended for users, who:**\n\n- Would like to monitor the health state and performance of their Confluent Cloud Resources.\n- Look for analysis support for Ops, IT and Network Admins.\n\n**This enables you to:**\n- Monitor infrastructure with a comprehensive dashboard\n- Detect usage anomalies and alert on them\n\n**Compatibility Requirements**\nConfluent Cloud Resource(s) and API User/Token\n\n**Note:** The metrics in the `Kafka Lag Partition Metrics` and `Kafka Lag Consumer Group Metrics` feature sets are not provided by the Confluent API. To obtain these metrics the [Kafka Lag Exporter](https://github.com/seglo/kafka-lag-exporter) is needed. See the Use Cases section for additional information."
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"source": "* This extension provides monitoring of Confluent Cloud Resources via their public API (see details tab). \n\n* Also supported, via the `Kafka Lag Partition Metrics` and `Kafka Lag Consumer Group Metrics` feature sets, are metrics provided by the [Kafka Lag Exporter](https://github.com/seglo/kafka-lag-exporter). \n * **NOTE:** This exporter is not supported by Dynatrace and needs to be set up and run independently from this extension. \n * Currently the extension only supports ingesting metrics from this exporter."
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{
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"source": "Simply activate the extension in your environment using the in-product Hub, provide the necessary device configuration and you’re all set up.\n\nRead more in the [Prometheus Extension Documentation](https://www.dynatrace.com/support/help/shortlink/prometheus-manage)"
},
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{
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"source": "This extension uses the [Confluent Metric Export API](https://api.telemetry.confluent.cloud/docs#tag/Version-2/paths/~1v2~1metrics~1{dataset}~1export/get) to gather metrics.\n\n**NOTE: This API has a fixed 5 minute offset which the extension currently does not honor. This leads to metrics being out of sync by 5 minutes between Dynatrace and Confluent. For more information see the 'Timestamp offset' header in the link above.**\n\nFirst you will need to create either a [Cloud/Cluster API Key and Secret](https://api.telemetry.confluent.cloud/docs#section/Authentication). This can be done via the Confluent UI or via their CLI. The MetricsViewer role is required to access the Confluent API. It is suggested to use the Organization scope for this role so it can be used as clusters are created or destroyed. \n\nIn Dynatrace, then create a new Monitoring Configuration and select \"Monitor Remotely without OneAgent\" near the bottom on the Monitoring Source Screen.\n\n**In the Dynatrace Monitoring Configuration the Confluent Cloud API Key and API Secret are used as the Basic Auth User (API Key) /Password (API secret) combination.**\n\nNext you'll create a URL with your resource types and IDs at the end, similar to what is shown below. This URL supports multiple resources but it is recommended to not have more than 5 to 10 per URL. \n\n`https://api.telemetry.confluent.cloud/v2/metrics/cloud/export?resource.kafka.id=lkc-XXXXX&resource.connector.id=lcc-XXXX1&resource.connector.id=lcc-XXXX2`\n\nBase URL\n`https://api.telemetry.confluent.cloud/v2/metrics/cloud/export?`\n\n1. Confluent Kafka Cluster \n\n - `resource.kafka.id=lkc-XXXXX`\n\n1. Confluent Kafka Schema Registry\n\n - `resource.schema_registry.id=lsrc=XXXXX`\n\n1. Confluent Kafka Connector\n - `resource.connector.id=lcc-XXXXX`\n\n1. Confluent Kafka KSQL DB Application\n - `resource.ksql.id=lksqlc-XXXXX`"
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"seo_title": "Confluent Cloud (Kafka) monitoring & observability",
"seo_description": "Remotely monitor your Confluent Cloud Kafka Clusters and other resources! Start your free trial today!",
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"about": "This extension provides the ability to remotely monitor your Confluent Cloud Kafka Clusters, Connectors, Schema Registries, and KSQL DB Applications. Every minute using the API provided by Confluent it ingests data about how your different Confluent Resources are performing. \n\n**This is intended for users, who:**\n\n- Would like to monitor the health state and performance of their Confluent Cloud Resources.\n- Look for analysis support for Ops, IT and Network Admins.\n\n**This enables you to:**\n- Monitor infrastructure with a comprehensive dashboard\n- Detect usage anomalies and alert on them\n\n**Compatibility Requirements**\nConfluent Cloud Resource(s) and API User/Token\n\n**Note:** The metrics in the `Kafka Lag Partition Metrics` and `Kafka Lag Consumer Group Metrics` feature sets are not provided by the Confluent API. To obtain these metrics the [Kafka Lag Exporter](https://github.com/seglo/kafka-lag-exporter) is needed. See the Use Cases section for additional information.",
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"get_started": "Simply activate the extension in your environment using the in-product Hub, provide the necessary device configuration and you’re all set up.\n\nRead more in the [Prometheus Extension Documentation](https://www.dynatrace.com/support/help/shortlink/prometheus-manage)"
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"release_notes": "## v2.0.0\n- **IMPORTANT** : Updated Dynatrace metric keys to match metric keys from Prometheus.\n - This will cause existing Dashboards & Alerts (or anything that relies on the old metric keys) to stop working! Please update them accordingly. \n - Please immediately update your Monitoring Configurations once this new version is activated\n - You can use still view the old metrics either via the `Confluent Kafka Overview (Deprecated Dashboard)` or the Data Explorer \n- Added new Cluster, Schema Registry and ksqlDB metrics.",
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}
},
{
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"metadata": {
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"description": "Datastore reachable from Kong, 0 is unreachable",
"displayName": "Kong Datastore Reachable"
}
},
{
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}
},
{
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"displayName": "Kong Database Errors"
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}
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},
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}
},
{
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}
]
},
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}
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},
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}
}
]
},
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{
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"displayName": "Kong Request Latency (Histogram)"
}
}
]
},
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}
}
]
}
},
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},
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{
"type": "markdown",
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},
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},
{
"type": "markdown",
"properties": {
"title": "Use cases",
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{
"key": "nutanix_pool_storage_total_space_physical",
"metadata": {
"unit": "Byte",
"description": "Physical total space",
"displayName": "Storage Container Total Space (Physical)"
}
},
{
"key": "nutanix_pool_storage_data_reduction_ratio",
"metadata": {
"unit": "Percent",
"description": "Data reduction ratio",
"displayName": "Storage Container Data Reduction Ratio"
}
},
{
"key": "nutanix_pool_storage_data_reduction_savings",
"metadata": {
"unit": "Byte",
"description": "Data Reduction Savings",
"displayName": "Storage Container Data Reduction Savings"
}
},
{
"key": "nutanix_pool_storage_overall_efficiency",
"metadata": {
"unit": "Count",
"description": "Compression efficiency of storage, calculated using number of bytes after compression / number of bytes before compression",
"displayName": "Storage Container Storage Overall Efficiency"
}
},
{
"key": "nutanix_pool_storage_physical_usage",
"metadata": {
"unit": "Byte",
"description": "Physical usage in bytes",
"displayName": "Storage Container Physical Usage"
}
},
{
"key": "nutanix_pool_storage_free_space_logical",
"metadata": {
"unit": "Byte",
"description": "Logical free space",
"displayName": "Storage Container Free Space (Logical)"
}
},
{
"key": "nutanix_pool_storage_used_space_logical",
"metadata": {
"unit": "Byte",
"description": "Logical used space",
"displayName": "Storage Container Used Space (Logical)"
}
},
{
"key": "nutanix_pool_storage_reserved_space_logical",
"metadata": {
"unit": "Byte",
"description": "Logical reserved space",
"displayName": "Storage Container Reserved Space (Logical)"
}
},
{
"key": "nutanix_pool_storage_total_space_logical",
"metadata": {
"unit": "Byte",
"description": "Logical Total Space",
"displayName": "Storage Container Total Space (Logical)"
}
}
]
},
"nutanix_cluster_stats": {
"metrics": [
{
"key": "nutanix_cluster_cpu_hypervisor_usage_percent",
"metadata": {
"unit": "Percent",
"description": "Hypervisor CPU usage in cluster as a percentage",
"displayName": "Cluster Hypervisor CPU Usage %"
}
},
{
"key": "nutanix_cluster_memory_hypervisor_usage_percent",
"metadata": {
"unit": "Percent",
"description": "Hypervisor memory usage in cluster as a percentage",
"displayName": "Cluster Hypervisor Memory Usage %"
}
},
{
"key": "log.nutanix_cluster_alert",
"metadata": {
"unit": "Count",
"description": "Alert on a Nutanix Cluster",
"displayName": "Cluster Alert"
}
},
{
"key": "log.nutanix_cluster_event",
"metadata": {
"unit": "Count",
"description": "Event on a Nutanix Cluster",
"displayName": "Cluster Event"
}
}
]
},
"nutanix_host_das-sata": {
"metrics": [
{
"key": "nutanix_host_das-sata_storage_capacity_bytes",
"metadata": {
"unit": "Byte",
"description": "Storage SATA Capacity for the Host",
"displayName": "Host Storage DAS-SATA Capacity Bytes"
}
},
{
"key": "nutanix_host_das-sata_storage_usage_bytes",
"metadata": {
"unit": "Byte",
"description": "Storage SATA Usage for the Host",
"displayName": "Host Storage DAS-SATA Usage Bytes"
}
},
{
"key": "nutanix_host_das-sata_storage_free_bytes",
"metadata": {
"unit": "Byte",
"description": "Storage SATA free Space for the Host",
"displayName": "Host Storage DAS-SATA Free Bytes"
}
}
]
},
"nutanix_network_stats": {
"metrics": [
{
"key": "nutanix_network_free_ips",
"metadata": {
"unit": "Count",
"description": "Number of free IPs in the network",
"displayName": "Network Free IPs"
}
},
{
"key": "nutanix_network_assigned_ips",
"metadata": {
"unit": "Count",
"description": "Number of assigned IPs in the network",
"displayName": "Network Assigned IPs"
}
},
{
"key": "nutanix_network_num_macs",
"metadata": {
"unit": "Count",
"description": "Number of MAC addresses in the network",
"displayName": "Network MAC Count"
}
}
]
},
"nutanix_vm_hypervisor": {
"metrics": [
{
"key": "nutanix_vm_hypervisor_swap_in_rate_kbps",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Hypervisor Swap In rate",
"displayName": "VM Hypervisor Swap In Rate Kbps"
}
},
{
"key": "nutanix_vm_hypervisor_swap_out_rate_kbps",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Hypervisor Swap out rate",
"displayName": "VM Hypervisor Swap Out Rate Kbps"
}
},
{
"key": "nutanix_vm_hypervisor_io_latency",
"metadata": {
"unit": "Microsecond",
"description": "Average I/O latency for disks used by Hypervisor",
"displayName": "VM Hypervisor I/O Latency"
}
},
{
"key": "nutanix_vm_hypervisor_io_read_latency",
"metadata": {
"unit": "Microsecond",
"description": "Average Read I/O latency for disks used by Hypervisor",
"displayName": "VM Hypervisor I/O Read Latency"
}
},
{
"key": "nutanix_vm_hypervisor_io_write_latency",
"metadata": {
"unit": "Microsecond",
"description": "Average Write I/O latency for disks used by Hypervisor",
"displayName": "VM Hypervisor I/O Write Latency"
}
}
]
},
"nutanix_cluster_storage": {
"metrics": [
{
"key": "nutanix_cluster_storage_iops",
"metadata": {
"unit": "Count",
"description": "Total number of IOPS in cluster",
"displayName": "Cluster IOPS"
}
},
{
"key": "nutanix_cluster_storage_read_iops",
"metadata": {
"unit": "Count",
"description": "Number of read IOPS in cluster",
"displayName": "Cluster Read IOPS"
}
},
{
"key": "nutanix_cluster_storage_write_iops",
"metadata": {
"unit": "Count",
"description": "Number of write IOPS in cluster",
"displayName": "Cluster Write IOPS"
}
},
{
"key": "nutanix_cluster_storage_capacity",
"metadata": {
"unit": "Byte",
"description": "Total storage capacity in bytes of the cluster",
"displayName": "Cluster Storage Capacity"
}
},
{
"key": "nutanix_cluster_storage_free",
"metadata": {
"unit": "Byte",
"description": "Total free storage in bytes for the cluster",
"displayName": "Cluster Storage Free"
}
},
{
"key": "nutanix_cluster_storage_logical_usage",
"metadata": {
"unit": "Byte",
"description": "Total storage logical usage in bytes for the cluster",
"displayName": "Cluster Storage Logical Usage"
}
},
{
"key": "nutanix_cluster_storage_usage",
"metadata": {
"unit": "Byte",
"description": "Total storage usage in bytes of the cluster",
"displayName": "Cluster Storage Usage"
}
}
]
},
"nutanix_host_controller": {
"metrics": [
{
"key": "nutanix_host_controller_storage_iops",
"metadata": {
"unit": "Count",
"description": "Controller Storage IOPS Count for the Host",
"displayName": "Host Controller Storage IOPS"
}
},
{
"key": "nutanix_host_controller_storage_read_iops",
"metadata": {
"unit": "Count",
"description": "Controller Storage Read IOPS Count for the Host",
"displayName": "Host Controller Storage Read IOPS"
}
},
{
"key": "nutanix_host_controller_storage_write_iops",
"metadata": {
"unit": "Count",
"description": "Controller Storage Write IOPS Count for the host",
"displayName": "Host Controller Storage Write IOPS"
}
},
{
"key": "nutanix_host_controller_storage_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Latency for the Host",
"displayName": "Host Controller Storage Latency"
}
},
{
"key": "nutanix_host_controller_storage_read_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Read Latency for the Host",
"displayName": "Host Controller Storage Read Latency"
}
},
{
"key": "nutanix_host_controller_storage_write_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Write Latency for the Host",
"displayName": "Host Controller Storage Write Latency"
}
},
{
"key": "nutanix_host_controller_storage_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Storage controller Bandwiidth for the Host",
"displayName": "Host Controller Storage I/O Bandwidth"
}
},
{
"key": "nutanix_host_controller_storage_read_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Storage controller Read Bandwiidth for the Host",
"displayName": "Host Controller Storage Read I/O Bandwidth"
}
},
{
"key": "nutanix_host_controller_storage_write_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Storage controller Write Bandwiidth for the Host",
"displayName": "Host Controller Storage Write I/O Bandwidth"
}
},
{
"key": "nutanix_host_controller_storage_io",
"metadata": {
"unit": "Count",
"description": "Controller Storage I/O Count in host",
"displayName": "Host Controller Storage I/O"
}
},
{
"key": "nutanix_host_controller_storage_read_io",
"metadata": {
"unit": "Count",
"description": "Controller Storage Read I/O Count in host",
"displayName": "Host Controller Storage Read I/O"
}
},
{
"key": "nutanix_host_controller_storage_write_io",
"metadata": {
"unit": "Count",
"description": "Controller Storage Write I/O Count",
"displayName": "Host Controller Storage Write I/O"
}
},
{
"key": "nutanix_host_controller_storage_read_io_percent",
"metadata": {
"unit": "Percent",
"description": "Controller Storage Read I/O Percentage",
"displayName": "Host Controller Storage Read I/O %"
}
},
{
"key": "nutanix_host_controller_storage_write_io_percent",
"metadata": {
"unit": "Percent",
"description": "Controller Storage Write I/O Percentage",
"displayName": "Host Controller Storage Write I/O %"
}
},
{
"key": "nutanix_host_controller_storage_read_io_size_kb",
"metadata": {
"unit": "KiloByte",
"description": "Controller Storage Read I/O size",
"displayName": "Host Controller Storage Read I/O Size kB"
}
},
{
"key": "nutanix_host_controller_storage_write_io_size_kb",
"metadata": {
"unit": "KiloByte",
"description": "Controller Storage write I/O size",
"displayName": "Host Controller Storage Write I/O Size kB"
}
},
{
"key": "nutanix_host_controller_storage_random_io",
"metadata": {
"unit": "Count",
"description": "Controller Storage random I/O Count",
"displayName": "Host Controller Storage Random I/O"
}
},
{
"key": "nutanix_host_controller_storage_random_io_percent",
"metadata": {
"unit": "Percent",
"description": "Controller Storage random I/O percentage",
"displayName": "Host Controller Storage Random I/O %"
}
},
{
"key": "nutanix_host_controller_storage_sequential_io",
"metadata": {
"unit": "Count",
"description": "Controller Storage sequential I/O Count",
"displayName": "Host Controller Storage Sequential I/O"
}
},
{
"key": "nutanix_host_controller_storage_sequential_io_percent",
"metadata": {
"unit": "Percent",
"description": "Controller Storage sequential I/O percentage",
"displayName": "Host Controller Storage Sequential I/O %"
}
},
{
"key": "nutanix_host_controller_storage_total_io_size_kb",
"metadata": {
"unit": "KiloByte",
"description": "Controller Storage total I/O size",
"displayName": "Host Controller Storage Total I/O Size kB"
}
},
{
"key": "nutanix_host_controller_storage_total_read_io_size_kb",
"metadata": {
"unit": "KiloByte",
"description": "Controller Storage total Read I/O Size",
"displayName": "Host Controller Storage Total Read I/O Size kB"
}
},
{
"key": "nutanix_host_controller_storage_total_io_time_",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Total I/O time",
"displayName": "Host Controller Storage Total I/O Time"
}
},
{
"key": "nutanix_host_controller_storage_total_read_io_time",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Total read I/O Time",
"displayName": "Host Controller Storage Total Read I/O Time"
}
},
{
"key": "nutanix_host_controller_storage_timespan",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Timespan",
"displayName": "Host Controller Storage Timespan"
}
},
{
"key": "nutanix_host_controller_storage_transformed_usage_bytes",
"metadata": {
"unit": "Byte",
"description": "Storage controlled transfromed Usage",
"displayName": "Host Controller Storage Transformed Usage Bytes"
}
}
]
},
"nutanix_host_hypervisor": {
"metrics": [
{
"key": "nutanix_host_hypervisor_iops",
"metadata": {
"unit": "Count",
"description": "Hypervisor IOPS Count for the Host",
"displayName": "Host Hypervisor IOPS"
}
},
{
"key": "nutanix_host_hypervisor_read_iops",
"metadata": {
"unit": "Count",
"description": "Hypervisor Read IOPS Count for the Host",
"displayName": "Host Hypervisor Read IOPS"
}
},
{
"key": "nutanix_host_hypervisor_write_iops",
"metadata": {
"unit": "Count",
"description": "Hypervisor Write IOPS Count for the Host",
"displayName": "Host Hypervisor Write IOPS"
}
},
{
"key": "nutanix_host_hypervisor_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Hypervisor Latency for the Host",
"displayName": "Host Hypervisor Latency"
}
},
{
"key": "nutanix_host_hypervisor_read_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Hypervisor Read Latency for the Host",
"displayName": "Host Hypervisor Read Latency"
}
},
{
"key": "nutanix_host_hypervisor_write_latency",
"metadata": {
"unit": "MicroSecond",
"description": "HypervisorWrite Latency for the Host",
"displayName": "Host Hypervisor Write Latency"
}
},
{
"key": "nutanix_host_hypervisor_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Hypervisor I/O Bandwidth for the Host",
"displayName": "Host Hypervisor I/O Bandwidth"
}
},
{
"key": "nutanix_host_hypervisor_read_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Hypervisor I/O Read Bandwidth for the Host",
"displayName": "Host Hypervisor Read Bandwidth"
}
},
{
"key": "nutanix_host_hypervisor_write_bandwidth",
"metadata": {
"unit": "Count",
"description": "Hypervisor I/O Write Bandwidth for the Host",
"displayName": "Host Hypervisor Write Bandwidth"
}
},
{
"key": "nutanix_host_hypervisor_io",
"metadata": {
"unit": "Count",
"description": "Hypervisor I/O Count for the Host",
"displayName": "Host Hypervisor I/O"
}
},
{
"key": "nutanix_host_hypervisor_read_io",
"metadata": {
"unit": "Count",
"description": "Hypervisor Read I/O Count for the Host",
"displayName": "Host Hypervisor Read I/O"
}
},
{
"key": "nutanix_host_hypervisor_write_io",
"metadata": {
"unit": "Count",
"description": "Hypervisor Write I/O Count for the Host",
"displayName": "Host Hypervisor Write I/O"
}
},
{
"key": "nutanix_host_hypervisor_total_io_size_kb",
"metadata": {
"unit": "KiloByte",
"description": "Hypervisor I/O size for the Host",
"displayName": "Host Hypervisor Total I/O Size kB"
}
},
{
"key": "nutanix_host_hypervisor_total_read_io_size_kb",
"metadata": {
"unit": "KiloByte",
"description": "Hypervisor Read I/O Size for the Host",
"displayName": "Host Hypervisor Total Read I/O Size kB"
}
},
{
"key": "nutanix_host_hypervisor_total_io_time_",
"metadata": {
"unit": "MicroSecond",
"description": "Hypervisor I/O Time for the Host",
"displayName": "Host Hypervisor Total I/O Time"
}
},
{
"key": "nutanix_host_hypervisor_total_read_io_time",
"metadata": {
"unit": "MicroSecond",
"description": "Hypervisor Read I/O Time for the Host",
"displayName": "Host Hypervisor Total Read I/O Time"
}
},
{
"key": "nutanix_host_hypervisor_timespan",
"metadata": {
"unit": "MicroSecond",
"description": "Hypervisor Timespan for the Host",
"displayName": "Host Hypervisor Timespan"
}
},
{
"key": "nutanix_host_hypervisor_received_bytes",
"metadata": {
"unit": "Byte",
"description": "Hypervisor Received Bytes for the Host",
"displayName": "Host Hypervisor Received Bytes"
}
},
{
"key": "nutanix_host_hypervisor_transmitted_bytes",
"metadata": {
"unit": "Byte",
"description": "Hypervisor Transmitted Bytes for the Host",
"displayName": "Host Hypervisor Transmitted Bytes"
}
}
]
},
"nutanix_cluster_controller": {
"metrics": [
{
"key": "nutanix_cluster_controller_iops",
"metadata": {
"unit": "Count",
"description": "Number of IOPS of the Controller",
"displayName": "Cluster Controller IOPS"
}
},
{
"key": "nutanix_cluster_controller_read_iops",
"metadata": {
"unit": "Count",
"description": "Number of Read IOPS of the Controller",
"displayName": "Cluster Controller Read IOPS"
}
},
{
"key": "nutanix_cluster_controller_write_iops",
"metadata": {
"unit": "Count",
"description": "Number of Write IOPS of the controller",
"displayName": "Cluster Controller Write IOPS"
}
},
{
"key": "nutanix_cluster_controller_avg_io_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Average I/O Latency of the Controller",
"displayName": "Cluster Controller AVG I/O Latency"
}
},
{
"key": "nutanix_cluster_controller_avg_read_io_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Average Read I/O Latency of the Controller",
"displayName": "Cluster Controller AVG Read I/O Latency"
}
},
{
"key": "nutanix_cluster_controller_avg_write_io_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Average Write I/O Latency of the Controller",
"displayName": "Cluster Controller AVG Write I/O Latency"
}
},
{
"key": "nutanix_cluster_controller_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "I/O Bandwith of the Controller",
"displayName": "Cluster Controller I/O Bandwidth"
}
},
{
"key": "nutanix_cluster_controller_read_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "I/O Read Bandwidth of the Controller",
"displayName": "Cluster Controller Read I/O Bandwidth"
}
},
{
"key": "nutanix_cluster_controller_write_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "I/O Write Bandwidth of the Controller",
"displayName": "Cluster Controller Write I/O Bandwidth"
}
}
]
},
"nutanix_virtual_disk_stats": {
"metrics": [
{
"key": "nutanix_virtual_disk_das_sata_usage",
"metadata": {
"unit": "Byte",
"description": "Usage of the virtual disk DAS SATA in bytes",
"displayName": "Virtual Disk DAS SATA Usage"
}
},
{
"key": "nutanix_virtual_disk_ssd_usage",
"metadata": {
"unit": "Byte",
"description": "Usage of the virtual disk SSD in bytes",
"displayName": "Virtual Disk SSD Usage"
}
},
{
"key": "nutanix_virtual_disk_usage",
"metadata": {
"unit": "Byte",
"description": "Usage of the virtual disk in bytes, including SSD and DAS-SATA usage",
"displayName": "Virtual Disk Usage"
}
},
{
"key": "nutanix_virtual_disk_capacity",
"metadata": {
"unit": "Byte",
"description": "Capacity of the virtual disk SSD in bytes",
"displayName": "Virtual Disk Capacity"
}
}
]
},
"nutanix_vm_controller_storage": {
"metrics": [
{
"key": "nutanix_vm_controller_storage_tier_cloud_usage_bytes",
"metadata": {
"unit": "Bytes",
"description": "Controller Storage Tier Cloud Usage",
"displayName": "VM Controller Storage Tier Cloud Usage"
}
},
{
"key": "nutanix_vm_controller_storage_tier_das_sata_configured_pinned_bytes",
"metadata": {
"unit": "Bytes",
"description": "Controller Storage Tier SATA Pinned Bytes",
"displayName": "VM Controller Storage Tier SATA Pinned Bytes"
}
},
{
"key": "nutanix_vm_controller_storage_tier_das_sata_usage_bytes",
"metadata": {
"unit": "Bytes",
"description": "Controller Storage Tier SATA Usage",
"displayName": "VM Controller Storage Tier SATA Usage"
}
},
{
"key": "nutanix_vm_controller_storage_tier_ssd_configured_pinned_bytes",
"metadata": {
"unit": "Bytes",
"description": "Controller Storage Tier SSD Pinned Bytes",
"displayName": "VM Controller Storage Tier SSD Pinned Bytes"
}
},
{
"key": "nutanix_vm_controller_storage_tier_ssd_usage_bytes",
"metadata": {
"unit": "Bytes",
"description": "Controller Storage Tier SSD Usage",
"displayName": "VM Controller Storage Tier SSD Usage"
}
},
{
"key": "nutanix_vm_controller_storage_iops",
"metadata": {
"unit": "Count",
"description": "Controller Storage IOPS by Virtual Machine",
"displayName": "VM Controller Storage IOPS"
}
},
{
"key": "nutanix_vm_controller_storage_read_iops",
"metadata": {
"unit": "Count",
"description": "Controller Storage Read IOPS by Virtual Machine",
"displayName": "VM Controller Storage Read IOPS"
}
},
{
"key": "nutanix_vm_controller_storage_write_iops",
"metadata": {
"unit": "Count",
"description": "Controller Storage Write IOPS by Virtual Machine",
"displayName": "VM Controller Storage Write IOPS"
}
},
{
"key": "nutanix_vm_controller_storage_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Latency by Virtual Machine",
"displayName": "VM Controller Storage Latency"
}
},
{
"key": "nutanix_vm_controller_storage_read_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Read Latency by Virtual Machine",
"displayName": "VM Controller Storage Read Latency"
}
},
{
"key": "nutanix_vm_controller_storage_write_latency",
"metadata": {
"unit": "MicroSecond",
"description": "Controller Storage Write Latency by Virtual Machine",
"displayName": "VM Controller Storage Write Latency"
}
},
{
"key": "nutanix_vm_controller_storage_io_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Controller Storage Bandwidth by Virtual Machine",
"displayName": "VM Controller Storage I/O Bandwidth"
}
},
{
"key": "nutanix_vm_controller_storage_read_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Controller Storage Read Bandwidth by Virtual Machine",
"displayName": "VM Controller Storage Read Bandwidth"
}
},
{
"key": "nutanix_vm_controller_storage_write_bandwidth",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Controller Storage Write Bandwidth by Virtual Machine",
"displayName": "VM Controller Storage Write Bandwidth"
}
}
]
}
},
"minDynatraceVersion": "1.289.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Simplify monitoring of your Nutanix infrastructure. Focus on essential insights into your Nutanix clusters while retaining the context of the workloads and apps that the clusters enable. Leverage topological model that reflects the Nutanix platform composition to understand dependencies between Nutanix component operations and the performance of workloads that run on Nutanix. Automatically monitor dozens of Nutanix performance metrics, from hosts, through virtual machines and storage containers, down to disks and the network.\n\n**This extension is intended for users, who:**\n\n- Run their workloads on Nutanix\n- Use Dynatrace to monitor workloads with Dynatrace OneAgent deployed on a virtual machine’s OS\n- Want to extend Dynatrace insights into the infrastructure on which VMs run and pinpoint the root causes of issues in their virtualization and application layers\n\n**This extension enables you to:**\n\n- Monitor your Nutanix clusters using a Nutanix-specific entity model and comprehensive unified analysis views\n- Receive alerts on performance and availability issues detected in your Nutanix infrastructure\n- Take proactive actions based on anomalies detected in Nutanix infrastructure before they affect your applications"
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"source": "- Operational monitoring of your Nutanix clusters using Prism API in Dynatrace, integrated with related insights into the infrastructure and apps that your Nutanix clusters host.\n- Monitor resource utilization, latency, and bandwidth of clusters, hosts, virtual machines, and storage containers and receive alerts for detected anomalies.\n- Root cause analysis of Nutanix cluster performance bottlenecks, leveraging a dependency model that connects all the entities that comprise Nutanix clusters, all the way down to the OS instances that run the workflows monitored with Dynatrace OneAgent."
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"source": "The Nutanix Clusters extension runs on a Dynatrace ActiveGate and connects to the Nutanix Prism APIs. This extension can connect straight to the Prism Element API of each monitored cluster or to the Prism Central API, where it obtains whereabouts of each cluster's Prism Element APIs.\n\nActivate the extension in your environment via the in-product Hub, then provide the Prism API URLs and a user account to connect to Prism APIs.\n\n### Using the Prism Element API\n\nProvide Prism Element API URL of each Nutanix cluster to monitor (like e.g. https://prism-element-ip:9440) and a user account to connect to the Prism Element.\n\n**Prism Element monitoring configuration recommendations**:\n\n- You can add many Prism Elements to a single monitoring configuration\n- Make sure to not add Prism Element addresses of those clusters which are managed by the Prism Central that you've also added to a monitoring configuration of the extension.\n- For performance reasons, it is not recommended to add Prism Central to the same monitoring configuration where you have Prism Elements defined, or vice versa.\n\n### Using the Prism Central API\n\nThe Nutanix Clusters extension supports monitoring Nutanix clusters managed by the Prism Central. Prism Central connection is used to obtain addresses of Prism Element-managed clusters, then extension connects to those Prism Elements.\n\n**Prism Central monitoring configuration recommendations**:\n\n- Only one Prism Central connection is supported per monitoring configuration. Separate monitoring configurations shall be defined for each Prism Central.\n- For performance reasons, it is not recommended to add Prism Central to the same monitoring configuration where you have Prism Elements defined, or vice versa. This hygiene routine is necessary to avoid performance issues when monitoring multiple clusters from a single ActiveGate.\n\n**Prism Central connectivity requirements**:\n\nTo monitor Nutanix clusters managed by Prism Central, a user account with the same username and password should be created in Prism Central and all managed Prism Element clusters. This account requires the `Cluster Admin` role, or an equivalent role with API access to view all resources.\n\nThe ActiveGate used to run the extension must be able to reach all monitored resources, which includes the Prism Central instance and all managed Prism Element clusters.\n\n### Leverage OneAgent to get insights into all Nutanix virtual machines\n\nInstall OneAgent on all your Nutanix virtual machines. [OneAgent is aware of the Nutanix AHV virtualization technology](https://www.dynatrace.com/hub/detail/nutanix-ahv/?query=Nutanix&filter=all) and uses this information to characterize your workflows. The Nutanix Clusters extension topologically connects Nutanix Hosts and Virtual Machines to OneAgent-monitored hosts.\n\nRead more about Extensions 2.0 operations in [Dynatrace Documentation](https://docs.dynatrace.com/docs/shortlink/extensions20#before-you-begin)."
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"source": "**The extension package contains**:\n\n- Python scripts that implement the metric ingestion from the Prism Element API, using a pull model\n- Topology and relationship definitions for physical and logical entities that comprise the Nutanix platform\n- A sample dashboard offering the Nutanix monitoring overview and status\n- Sample alert definitions that track CPU and memory utilization on the cluster, host, and VM level\n- Unified analysis views for each entity, leveraging the topology model for interactive analysis\n\n**Summary of the Nutanix entities monitored**:\n\nThe Nutanix Clusters extension collects metrics for Nutanix entities and builds topological relationships between them so that Dynatrace performance analytics can leverage causal dependencies and surface the root causes of issues. The following entities are monitored:\n\n- Host\n- Virtual machine\n- Storage container\n- Disk\n- Virtual disk\n- Network\n- GPU\n- Alerts\n- Event metrics\n\n**More information**:\n\nFor complete details about the value of the Nutanix Clusters extension, see this [Dynatrace Product News blog post](https://www.dynatrace.com/news/blog/get-seamless-insights-into-nutanix-clusters-with-dynatrace/)."
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"source": "- A Nutanix cluster offering Prism API, reachable from an ActiveGate set up in your Dynatrace environment.\n- Nutanix Prism API connection details: Prism URL, user name, and password for authentication with the Prism API.\n- When using Prism Central API: a user account with the same username and password should be created in Prism Central and all managed Prism Element clusters. This account requires the `Cluster Admin` role, or an equivalent role with API access to view all resources.\n\n**Supported Nutanix Versions**:\n\nThe following Nutanix versions have been tested to work with the extension. Other versions of Nutanix not listed may be compatible with the extension.\n- AOS Versions: 6.8"
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"source": "### Q: I see data gaps when running the extension. what to do about it?\n\nA: Likely, extension configurations defined have too many metrics to collect from too many endpoints (i.e Prism Elements). The workaround is to define multiple monitoring configurations, with limited number of endpoints (Prism Element whereabouts) in each config.\n\nPractice shows that when a single configuration monitors more than 5 Prism Element endpoints, data gaps are more likely to show up. Note that this is not a hard number, as each endpoint may return different number of metrics that heavily depends on the Nutanix cluster size and number of workloads/VMs running on the cluster.\n\n### Q: What is the DDU Consumption of this extension?\n\nA: The formula for DDU consumption of the extension is:\n\n```\n ( ( 24 * number of Clusters)\n+ ( ( 68 * number of Hosts)\n+ ( ( 43 * number of VMs)\n+ ( ( 22 * number of Storage Containers)\n+ ( ( 20 * number of Disks)\n+ ( ( 4 * number of Virtual Disks)\n+ ( ( 3 * number of Networks) ) * 525.6 DDUs/year\n```\n\nDDU cost above does not include any possible Log events or Custom events triggered by the extension. For more information on this, please visit the [DDU log event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/log-monitoring-consumption) and [DDU custom event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/ddu-events) pages."
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"source": "* [Snyk REST API v2](https://docs.snyk.io/snyk-api/rest-api/about-the-rest-api)\n* [Snyk v1 API](https://docs.snyk.io/snyk-api/v1-api)"
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"unit": "Count",
"description": "The number of machines in the delivery group in state InUse; this is the number of machines with at least one session present.",
"displayName": "Desktops In Use"
}
},
{
"key": "citrix.broker_group.desktops_disconnected",
"metadata": {
"unit": "Count",
"description": "The number of disconnected sessions present on machines in the delivery group.",
"displayName": "Desktops Disconnected"
}
},
{
"key": "citrix.broker_group.total_desktops",
"metadata": {
"unit": "Count",
"description": "Total number of machines in the delivery group.",
"displayName": "Desktops Total"
}
},
{
"key": "citrix.broker_group.desktops_never_registered",
"metadata": {
"unit": "Count",
"description": "The number of machines in the delivery group that have never registered with the current site",
"displayName": "Desktops Never Registered"
}
},
{
"key": "citrix.broker_group.sessions",
"metadata": {
"unit": "Count",
"description": "The total number of user sessions currently running on all of the machines in the delivery group.",
"displayName": "Sessions"
}
},
{
"key": "citrix.broker_group.total_applications",
"metadata": {
"unit": "Count",
"description": "Total number of applications associated with the delivery group.",
"displayName": "Applications"
}
},
{
"key": "citrix.broker_group.total_application_groups",
"metadata": {
"unit": "Count",
"description": "Total number of application groups associated with the delivery group.",
"displayName": "Application Groups"
}
}
]
},
"Catalog Metrics": {
"metrics": [
{
"key": "citrix.broker_catalog.assigned",
"metadata": {
"unit": "Count",
"description": "The number of assigned machines (machines that have been assigned to a user/users or a client name/address).",
"displayName": "Assigned"
}
},
{
"key": "citrix.broker_catalog.available",
"metadata": {
"unit": "Count",
"description": "The number of available machines (those not in any delivery group).",
"displayName": "Available"
}
},
{
"key": "citrix.broker_catalog.available_unassigned",
"metadata": {
"unit": "Count",
"description": "The number of available machines (those not in any delivery group) that are not assigned to users.",
"displayName": "Available Unassigned"
}
},
{
"key": "citrix.broker_catalog.unassigned",
"metadata": {
"unit": "Count",
"description": "The number of unassigned machines (machines not assigned to users).",
"displayName": "Unassigned"
}
},
{
"key": "citrix.broker_catalog.used",
"metadata": {
"unit": "Count",
"description": "The number of machines in the catalog that are in a delivery group.",
"displayName": "Used"
}
}
]
},
"Desktop Metrics": {
"metrics": [
{
"key": "citrix.broker_desktop.session_state",
"metadata": {
"unit": "State",
"description": "Valid values are null, Other, PreparingSession, Connected, Active, Disconnected, Reconnecting, NonBrokeredSession, and Unknown.\nSession properties are always null for multi-session machines.\n",
"displayName": "Session State"
}
},
{
"key": "citrix.broker_desktop.power_state",
"metadata": {
"unit": "State",
"description": "Gets machines with a specific power state.\nValid values are Unmanaged (0), Unknown (1), Unavailable (2), Off (3), On (4), Suspended (5), TurningOn (6), TurningOff (7), Suspending (8), and Resuming (9).\n",
"displayName": "Power State"
}
},
{
"key": "citrix.broker_desktop.registration_state",
"metadata": {
"unit": "State",
"description": "\"Gets machines in a specific registration state.\nValid values are Unregistered (0), Initializing (1), Registered (2), and AgentError (3).\n",
"displayName": "Registration State"
}
},
{
"key": "citrix.broker_desktop.summary_state",
"metadata": {
"unit": "State",
"description": "\"Indicates the overall state of the desktop associated with the machine.\nThe overall state is a result of other more specific states such as session state, registration state and power state.\nPossible values: Off (0), Unregistered (1), Available (2), Disconnected (3), InUse (4), Preparing (5).\n",
"displayName": "Summary State"
}
},
{
"key": "citrix.broker_desktop.in_maintenance_mode",
"metadata": {
"unit": "State",
"description": "Denotes if the machine is in maintenance mode.",
"displayName": "In Maintenance Mode"
}
},
{
"key": "citrix.broker_desktop.sessions",
"metadata": {
"unit": "Count",
"description": "Count of number of sessions on the machine.",
"displayName": "Sessions"
}
},
{
"key": "citrix.broker_desktop.fault_state",
"metadata": {
"unit": "State",
"description": "\"Summary state of any current fault state of the machine. Can be one of the following:\n(0) None - No fault; machine is healthy.\n(1) FailedToStart - Last power-on operation for machine failed.\n(2) StuckOnBoot - Machine does not seem to have booted following power on.\n(3) Unregistered - Machine has failed to register within expected period, or its registration has been rejected.\n(4) MaxCapacity - Machine is reporting itself at maximum capacity.\n",
"displayName": "Fault State"
}
},
{
"key": "citrix.broker_desktop.load_index",
"metadata": {
"unit": "Percent",
"description": "Gives current effective load index for multi-session machines",
"displayName": "Load Index"
}
},
{
"key": "citrix.broker_desktop.load_indexes",
"metadata": {
"unit": "Percent",
"description": "Gives the last reported individual load indexes that were used in the calculation of the LoadIndex value.\nNote that the LoadIndex value may have been subsequently adjusted due to session brokering operations.\nThis value is only set for multi-session machines\n",
"displayName": "Load Indexes"
}
}
]
},
"Controller Metrics": {
"metrics": [
{
"key": "citrix.broker_controller.desktops_registered",
"metadata": {
"unit": "Count",
"description": "The number of VDA machines registered with the Broker service on the controller",
"displayName": "VDAs Registered"
}
},
{
"key": "citrix.broker_controller.licensing_server_state",
"metadata": {
"unit": "State",
"description": "The licensing server state currently in effect in the Broker service on the controller ServerNotSpecified (0), NotConnected (1), OK (2), LicenseNotInstalled (3), LicenseExpired (4), Incompatible (5), Failed (6)",
"displayName": "Licensing Server State"
}
},
{
"key": "citrix.broker_controller.state",
"metadata": {
"unit": "State",
"description": "The state of the Broker service on the controller (0) Failed, (1) Off, (2) On, (3) Active.",
"displayName": "State"
}
},
{
"key": "citrix.broker_controller.last_licensing_server_time",
"metadata": {
"unit": "Second",
"description": "Time at which the last significant licensing server event was reported",
"displayName": "Licensing Server Last Event Time"
}
},
{
"key": "citrix.broker_controller.active_services",
"metadata": {
"unit": "Second",
"description": "The Broker site services active on the controller",
"displayName": "Active Services"
}
}
]
}
},
"minDynatraceVersion": "1.285.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "The all-in-one Citrix DaaS & Citrix Virtual Apps and Desktops extensions allows you to monitor your Citrix environments.\n\nYou can choose to have a holistic view of your Citrix site, monitor individual Virtual Delivery Agent (Citrix VDA) equipped machines or both.\n\nThe extension can be deployed from an OneAgent or an ActiveGate:\n\n### OneAgent Deployment\n\nWhen running from an OneAgent, the extension can be configured in one of two ways:\n\n* **Citrix VDA** - Monitor the individual user sessions, by activating the extension on each Virtual Delivery Agent, *this will not collect environment-wide metrics, only real user monitoring (RUM) data for the individual sessions, and perfmon counters.*\n\n* **Citrix Powershell SDK** - Monitor the entire Citrix environment, including the Citrix Site, by activating the extension on a machine that has the Citrix PowerShell SDK installed. Usually where Citrix Studio is installed or directly on the Delivery Controller. We suggest using the newer Activegate mode instead of the powershell SDK.\n\n\n### ActiveGate Deployment\n\n* **Citrix REST API** - Connect to Citrix via the REST API. Collect the same metrics as in \"Powershell SDK\" mode, with the exception of licensing and Delivery Controller metrics which don't apply to Citrix DaaS sites.\n\n* **Managed** - Connect to a local Delivery Controller of a Citrix Virtual Apps and Desktops Citrix Site via the REST API"
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Get Started - VDA",
"source": "### Citrix VDA - Citrix Virtual Delivery Agent\n\nThis mode captures **Real User Monitoring** data from the **individual VDAs**. Relevant **Windows Performance Counters** are also collected. \n\nIn this scenario, you **must** have an OneAgent deployed to each VDA. The recommmended activation flow for this scenario is:\n\n1. Install the OneAgent on the [Golden (or Master) Image](https://docs.citrix.com/en-us/tech-zone/design/reference-architectures/image-management.html)\n 2. Make sure to set the [Host ID source](https://www.dynatrace.com/support/help/shortlink/windows-custom-installation#host-id-source), the option most customers use is `fqdn`\n3. Activate the `Citrix Extension` on that machine, by creating a `Monitoring Configuration` in your Dynatrace environment that targets that host and selecting the `Citrix VDA` monitoring mode\n * This will distribute the extension binary to that machine, making the deployment much faster later since the extension binary will be available on all VDAs created by this machine.\n\n\n\n#### Requirements\n\n* **Citrix DaaS** (any version) or **Citrix Virtual Apps and Desktops** formerly **Citrix XenApp/XenDesktop** (version 7.5 or later)\n\n* Your Citrix VDAs **must** have the *Citrix End User Experience Monitoring* service enabled and running\n\nYou can check that a certain VDA can be monitored by the extension by:\n\n1. Starting a `ICA Session` on that VDA via the `Citrix Receiver` (Desktop or individual Application works)\n2. Running these powershell commands on the VDA:\n * `Get-WmiObject -Class Citrix_Euem_RoundTrip -Namespace root\\citrix\\euem`\n * `Get-WmiObject -Class Citrix_Sessions -Namespace root\\citrix\\hdx`\n\nThese commands **must** return some data about the user session.\n\n\n#### Activation\n\n\n##### Create a new Custom Application \n\n\n\n* Navigate to `Deploy Dynatrace > Monitor a custom application`\n* Give your application a descriptive name, chose an icon, then select `Monitor custom application`.\n* Select `Instrumentation wizard` and keep a note of the `Application ID` that is generated for your custom application.\n\n\n\n##### Create a Monitoring Configuration \n\n\n\n* Under `Infrastructure -> Extensions` chose `Citrix Virtual Apps and Desktops` and click `Create monitoring configuration` \n\n\n* Select which hosts you want to monitor, these are your Citrix VDAs. \n * We highly recommend you make use of **Host Groups**, **Management Zones** or **Tags** to make this easier to manage. For example all VDAs of a farm could have their own Host Group\n* Monitoring Mode: `Citrix VDA`\n* Custom Application ID: The ID of the custom application you created in the previous step\n* Capture User Data: whether to capture **Usernames** and **IP Addresses** or not\n\nAfter a couple minutes, if `ICA Sessions` are running on these VDAs you should see data being captured in the `Custom Application` you created.\n"
},
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},
{
"type": "markdown",
"properties": {
"title": "Get Started - Powershell SDK",
"source": "### Citrix Powershell SDK\n\nThis mode captures metrics about your entire Citrix Environment using the [Citrix Powershell SDK](https://developer-docs.citrix.com/projects/citrix-virtual-apps-desktops-sdk/en/latest/) \nIn this mode the extension runs from a single machine where Citrix Studio (or the Powershell SDK) is installed. Note, we recommend using newer the Activegate remote options instead of Powershell SDK.\n\n#### Requirements\n\n* **Citrix DaaS** (any version) or **Citrix Virtual Apps and Desktops** formerly **Citrix XenApp/XenDesktop** (version 7.5 or later)\n* The machine where the extension is running **must** have the Citrix Powershell SDK installed, this can be accomplished by installing `Citrix Studio`\n\nTo test that a machine can run this mode, execute commands below on powershell (as a user that can run Citrix Studio):\n\n```powershell\n# replace localhost with the address of your delivery controller if necessary\nAdd-PSSnapin Citrix.*.Admin.V*\nGet-BrokerSite -AdminAddress localhost\n```\n\n\n#### Activation\n\n\n* Under `Infrastructure -> Extensions` chose `Citrix Virtual Apps and Desktops` and click `Create monitoring configuration` \n\n\n* Select which host you want the extension to run from, the one where the Powershell SDK is available\n* Monitoring Mode: `Citrix Powershell SDK`\n* Username: an user that can run the citrix powershell sdk commands, it can include a domain example: `my.company\\my.user`\n* Password: for the user defined above\n* Metric collection frequency: how often metrics should collect data\n\n\nAfter a couple of minutes, metrics should be ingested for your Citrix environment. You can use the built in dashboard to access these metrics"
},
"sourceId": "blocks_1"
},
{
"type": "markdown",
"properties": {
"title": "Get Started - REST API",
"source": "### REST API (Citrix DAAS or On Premises)\n\nThis mode captures metrics about your entire Citrix Environment using the [Citrix Rest API](https://developer-docs.citrix.com/en-us/citrix-daas-service-apis/citrix-daas-rest-apis/apis/#/Machines-APIs/Machines-GetMachines). This mode can only be activated when running from an Activegate.\n\n#### Requirements\n\n* **Linux or Windows Activegate** capable of reaching the Citrix DaaS endpoint\n * https://api.cloud.com - for US, EU or APAC\n * https://api.citrixcloud.jp - for Japan\n* An [API Client ID and Secret](https://developer-docs.citrix.com/en-us/citrix-cloud/citrix-cloud-api-overview/get-started-with-citrix-cloud-apis.html#create-an-api-client) with **Read Only Administrator** scope.\n* Your **Citrix Customer ID** which can be obtained from the API Client creation, or from the cloud console.\n\n#### Configuration\n\nIn Dynatrace create a monitoring configuration and select **Monitor remotely**, choose an Activegate group that is capable of reaching the DAAS endpoints, note that you can also configure a proxy later.\n\nThe credentials can be stored directly in the extension settings, or using the [Dynatrace Credential Vault](https://docs.dynatrace.com/docs/shortlink/credential-vault)\n\nMetrics will arrive to your environment and can be seen in the overview dashboard that comes with the extension.\n\n#### Notes\n\n* With Citrix DaaS you don't manage **Delivery Controllers**, so these entities will not be created in Dynatrace\n* The Site entity will not report some licensing metrics, which don't apply to Citrix DaaS."
},
"sourceId": "blocks_2"
},
{
"type": "markdown",
"properties": {
"title": "Licensing",
"source": "### Citrix VDA\n\nFor the VDA mode, we ingest [Real User Monitoring](https://docs.dynatrace.com/docs/shortlink/digital-experience-monitoring-units) data, each **Citrix ICA Session** corresponds roughly to one **Dynatrace User Session**, although long **ICA Sessions** (2+ hours) can be split into multiple **User Sessions**\n\n### Powershell SDK\n\nThe formula for the DDUs consumed is the sum of:\n\n* `4 * <sites>`\n* `5 * <controllers>`\n* `11 * <groups>` \n* `5 * <catalogs>`\n* `9 * <desktops>`\n\nmultiplied by `525.6` DDUS per year.\n\nExample:\n\n* 1 Site\n* 1 Controller\n* 20 Groups\n* 12 Catalogs\n* 160 Machines\n\nWill consume: `(4) + (5) + (11*20) + (5*12) + (9*160) * 525.6` = `908,762.4` DDUs per year.\n\n### DaaS\n\nDaaS has a similar fomula except it doesn't have metrics for the Delivery Controllers:\n\n* `4 * <sites>`\n* `11 * <groups>`\n* `5 * <catalogs>`\n* `9 * <desktops>`\n\nExample:\n\n* 1 Site\n* 20 Groups\n* 12 Catalogs\n* 160 Machines\n\nWill consume: `((4) + (11*20) + (5*12) + (9*160)) * 525.6` = `906,134.4` DDUs per year."
},
"sourceId": "blocks_3"
}
],
"modified": "2025-02-03T21:15:23.125025Z",
"created": "2023-07-01T07:17:08.219192Z",
"seo_title": "Citrix DaaS & Virtual Apps and Desktops monitoring & observability",
"seo_description": "Gain insight into your Citrix DaaS & Virtual Apps and Desktops environments Start your free trial today!",
"customer_story": null,
"marketing_related_content": [],
"screenshots": [
"https://dt-cdn.net/hub/citrix-overview.png",
"https://dt-cdn.net/hub/citrix-group_Ro2hFB2.png",
"https://dt-cdn.net/hub/citrix-desktop_ol8QHRf.png",
"https://dt-cdn.net/hub/citrix-waterfall_KuadklN.png"
],
"about": "The all-in-one Citrix DaaS & Citrix Virtual Apps and Desktops extensions allows you to monitor your Citrix environments.\n\nYou can choose to have a holistic view of your Citrix site, monitor individual Virtual Delivery Agent (Citrix VDA) equipped machines or both.\n\nThe extension can be deployed from an OneAgent or an ActiveGate:\n\n### OneAgent Deployment\n\nWhen running from an OneAgent, the extension can be configured in one of two ways:\n\n* **Citrix VDA** - Monitor the individual user sessions, by activating the extension on each Virtual Delivery Agent, *this will not collect environment-wide metrics, only real user monitoring (RUM) data for the individual sessions, and perfmon counters.*\n\n* **Citrix Powershell SDK** - Monitor the entire Citrix environment, including the Citrix Site, by activating the extension on a machine that has the Citrix PowerShell SDK installed. Usually where Citrix Studio is installed or directly on the Delivery Controller. We suggest using the newer Activegate mode instead of the powershell SDK.\n\n\n### ActiveGate Deployment\n\n* **Citrix REST API** - Connect to Citrix via the REST API. Collect the same metrics as in \"Powershell SDK\" mode, with the exception of licensing and Delivery Controller metrics which don't apply to Citrix DaaS sites.\n\n* **Managed** - Connect to a local Delivery Controller of a Citrix Virtual Apps and Desktops Citrix Site via the REST API",
"use_cases": "",
"supported_distributions": "",
"get_started": ""
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.citrix-vda@2.0.20",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.20",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0.20-16262f7cd552c86c8d4c.zip",
"release_notes": "### 🐛Bugfixes\n\n- Fix an incompatibility with OneAgent 1.307 where a file cannot be read.",
"created": "2025-03-07T16:04:51.481046Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.19",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.19",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0.19-7c271983ec591e531b16.zip",
"release_notes": "## Version 2.0.19\n\n### 🐛 Bugfixes\n\n* Fix an issue where the load index format changed and VDA metrics could not be retrieved",
"created": "2025-03-04T22:27:47.666733Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.18",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.18",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_TQPoFNX.zip",
"release_notes": "## Version 2.0.18\n\n### 🐛Bugfixes\n\n* Add the source entity for metrics so that they can be used in management zones",
"created": "2025-02-05T22:22:32.239903Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.17",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.17",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_fxBOKZA.zip",
"release_notes": "## Version 2.0.17\n\n### ⚠️Breaking Change\n\n* The field `Temp folder` in Powershell SDK mode is mandatory starting with OneAgent 1.303 and extension version 2.0.17 due to permission changes in the extension framework folders.\n\n### 🐛 Fixes\n\n* Fix an issue where metric metadata was not present for local VDA metrics in Powershell SDK mode.",
"created": "2025-02-03T16:52:30.200397Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.15",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.15",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_ouPjZX3.zip",
"release_notes": "## Version 2.0.15\n\n* Fix an issue where the token could not be retrieved when using the REST API for an onprem citrix install",
"created": "2025-01-06T18:47:42.930865Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.13",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.13",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_Rik7m4V.zip",
"release_notes": "## Version 2.0.13\n\n* Fix an issue where the fastcheck would timeout under certain situations on Powershell SDK mode\n* Add more verbose log messages during fastcheck",
"created": "2024-11-05T13:44:02.612195Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.12",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.12",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_eqZM6GL.zip",
"release_notes": "## Version 2.0.12\n\n* Fix an issue where the extension would timeout in Powershell SDK mode when trying to find a suitable folder.",
"created": "2024-11-01T16:44:37.326742Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.11",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.11",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_vd4R88b.zip",
"release_notes": "## Version 2.0.11\n\n* Fix an issue with the unique user id calculation for RUM data\n* Fix an issue where applications with backslashes on folder names were not ingested\n* Fix a broken link in the extension dashboard",
"created": "2024-10-09T13:27:14.829288Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.9",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.9",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_u3jV1QS.zip",
"release_notes": "## Version 2.0.9\n\n### Bug Fixes\n\n* Fix an issue where pagination was not used when retrieving data from the API\n* Fix an issue where machines without hypervisor connections caused an exception\n\n### Features\n\n* Added entity `citrix:hypervisor`\n* Added metric `citrix.hypervisor.fault_state`\n* Added metric `citrix.application.num_associated_delivery_groups`\n* Added dimensions `hypervisor_id` and `hypervisor_name` to the VDAs\n* Added a `CALLS` relationship between the VDA and the Hypervisor",
"created": "2024-08-29T16:09:19.107331Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.8",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.8",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_twfj4Pp.zip",
"release_notes": "## Version 2.0.8\n\n### Improvements\n\n* Lower the minDynatraceVersion to 1.285\n* Rename all occurrences of group or desktop group to delivery group\n* Sort sessions per group in descending order\n* Add filtering to the list of desktops in the Delivery Group, Site, and Controller screens\n* Add filtering to the list of desktops in the VDA list screen\n* Add the hypervisor connection information to the VDAs\n* Add a tile for the Enabled Delivery Groups to the dashboard\n* Add spark lines to all tiles that show a single value\n* Add VDA table tiles for \"On & In Maintenance\" and \"Unknown Power State\"\n\n\n### Bug Fixes\n\n* Fix the total count of applications tile\n* Fix the load index percentage to be a percentage instead of 0 to 10000\n* Fix the load index unit\n* Fix the VDA chart to include all metrics",
"created": "2024-06-26T23:13:05.145585Z"
},
{
"name": "com.dynatrace.extension.citrix-vda@2.0.5",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "2.0.5",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-2.0_fkKLvsJ.zip",
"release_notes": "## Version 2.0.5\n\n### New Features\n\n#### Citrix DAAS Support\n\nThe extension can now remotely monitor Citrix DAAS, or a managed Citrix installation via the Citrix REST API.\n\n**Note**: Monitoring configurations must be **recreated** because the extension can now optionally run from an Activegate.\n\n### Bug Fixes\n\n* Fix several dashboard tiles values\n\n### Improvements\n\n* Add new tiles to the overview dashboard with detailed machine status\n* Add the **summary_state** dimension to VDAs\n* Add the **in_maintenance_mode** attribute to VDAs\n* Add filtering to the list of VDAs in the Delivery Group screen",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.3_sSr637m.zip",
"release_notes": "## Version 1.3.1\n\n### Fixes\n\n* Fix the dashboard count for VDAs, VDAs in use, Application and Sessions\n* Fix the relationship query for the OneAgent when using Powershell SDK mode\n* Fix an issue where the VDA name was concatenated with the domain name without any separators\n\n### New features\n\n* Added the following dimensions to all VDA metrics:\n\t* `in_maintenance_mode`\n\t* `session_support`\n\t* `power_state`\n\t* `session_state`\n\t* `registration_state`\n\t* `fault_state`\n\n* Added new tiles to the dashboard:\n * Sessions per VDA\n * On & Registered VDAs\n * Off & In Maintenance VDAs\n * Off & Not Maintenance VDAs\n * On & In Maintenance VDAs\n * On & Unregistered VDAs (total and table)\n * On & No Group VDAs (total and table)",
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"fqn": "com.dynatrace.extension.citrix-vda",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.3_lys0t2X.zip",
"release_notes": "## Version 1.3.0\n\n* Fix an issue where the relationship between the VDA and the HOST entity was not correctly mapped for Powershell SDK mode.",
"created": "2024-05-07T17:39:18.537442Z"
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"fqn": "com.dynatrace.extension.citrix-vda",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.2_602Wuxw.zip",
"release_notes": "## Version 1.2.3\n\n* Fix an issue where the Web Request Tracer URL was incorrectly encoded",
"created": "2024-04-30T15:21:33.384349Z"
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"name": "com.dynatrace.extension.citrix-vda@1.2.2",
"fqn": "com.dynatrace.extension.citrix-vda",
"version": "1.2.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.2_ABLDXji.zip",
"release_notes": "## Version 1.2.2\n\n* Fix an issue with the openkit client where beacon events didn't have a correct lifespan under some circumstances",
"created": "2024-04-26T20:24:49.233076Z"
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"fqn": "com.dynatrace.extension.citrix-vda",
"version": "1.2.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.2_l8gfJDM.zip",
"release_notes": "### Version 1.2.1\n\n* Use the latest version of [openkit](https://pypi.org/project/openkit/) with bugfixes",
"created": "2024-04-26T12:07:45.159594Z"
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"fqn": "com.dynatrace.extension.citrix-vda",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.2_EPHtZg6.zip",
"release_notes": "## Version 1.2.0\n\n* Fix an issue where Web Request Tracers were not being reported due to timing differences\n* Adds Network Latency measurements as Web Request Tracers\n* Adds the option to DEBUG log messages for the OpenKit client\n* Fix an issue where users were not identified for every ICA Latency Measurements",
"created": "2024-04-24T20:13:35.525879Z"
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"fqn": "com.dynatrace.extension.citrix-vda",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_Dx9ip0s.zip",
"release_notes": "### Version 1.1.17\n\n* Fix an issue where user sessions were being tagged as anonymous even when an username was present",
"created": "2024-04-11T21:02:33.074849Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_AXcVzGy.zip",
"release_notes": "## Version 1.1.16\n\n* Update the description for the metric **Licensing Server State**\n* Report the actual state values (instead of 1) for the metrics:\n * *citrix.broker_desktop.summary_state*\n * *citrix.broker_desktop.power_state*\n * *citrix.broker_desktop.session_state*\n * *citrix.broker_desktop.registration_state*\n * *citrix.broker_desktop.fault_state*\n\n",
"created": "2024-04-10T18:53:13.486152Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_oEJWHG7.zip",
"release_notes": "## Version 1.1.15\n\n* Report web request tracers for ICA latency measurements, allowing the list of top hosts to be seen on the frontend application page",
"created": "2024-04-09T23:59:47.895624Z"
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"fqn": "com.dynatrace.extension.citrix-vda",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_NRGf6rI.zip",
"release_notes": "### Version 1.1.13\n\n* Attempt to find a suitable temp folder before running in Powershell SDK mode\n* Always report the Hostname property for ICA Latency actions in VDA mode",
"created": "2024-02-23T10:02:56.235761Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_eBia0Yl.zip",
"release_notes": "## Version 1.1.6\n\n* Fix an issue where the thread ID could have a value higher than what openkit allows",
"created": "2023-11-07T23:16:10.137515Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_T62LVYr.zip",
"release_notes": "## Version 1.1.5\n\n* VDA - Fix the technology type\n* VDA - Fix an issue where the beacon start time was incorrectly calculated sometimes",
"created": "2023-10-19T06:44:39.580808Z"
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"fqn": "com.dynatrace.extension.citrix-vda",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_tSWqgAp.zip",
"release_notes": "## Version 1.1.4\n\n* VDA - Fix an issue where actions sometimes were not reported if the machine timezone was too far from UTC",
"created": "2023-10-17T21:38:14.447197Z"
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"fqn": "com.dynatrace.extension.citrix-vda",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_g27J14q.zip",
"release_notes": "## Version 1.1.3\n\n* Fix an issue where logs could not be reported if they were over 1MB in size\n* Fix an issue where errors were not reported if the user did not have permissions to run the powershell command",
"created": "2023-10-13T19:24:38.715312Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.1_rwLiVah.zip",
"release_notes": "## Version 1.1.2\n\n* Add support for sending detailed data as logs",
"created": "2023-09-06T12:55:34.150783Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.0_0KGoclu.zip",
"release_notes": "## Version 1.0.6\n\n* Remove the whoami.exe command from the fastcheck for SDK mode",
"created": "2023-09-01T21:12:53.921341Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.0_aHV3bdY.zip",
"release_notes": "## Version 1.0.5\n\n* Log files are now unique per user configured\n* Give extra details when fastcheck fails for SDK mode",
"created": "2023-08-30T18:24:48.119302Z"
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.citrix-vda/com.dynatrace.extension.citrix-vda-1.0_E28hwFj.zip",
"release_notes": "## Version 1.0.4\n\n* Reduce the cardinality of Citrix VDA metrics to support very large environments\n* Removes the session_user_name dimension for VDA metrics",
"created": "2023-08-25T05:25:44.408030Z"
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"release_notes": "### Version 1.0.3\n\n* Fix an issue where VDAs with different timezones were not reporting beacon correctly",
"created": "2023-08-23T06:51:35.795961Z"
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"created": "2023-07-01T07:17:08.595037Z"
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"release_notes": "### 🐛Bugfixes\n\n- Fix an incompatibility with OneAgent 1.307 where a file cannot be read.",
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"source": "Vector databases, exemplified by Milvus, play a crucial role as semantic caches within contemporary Large Language Model (LLM) service frameworks. \n\nSemantic caches are instrumental in mitigating latency for familiar and frequently accessed user prompts, concurrently optimizing the overall expenditure associated with cloud-based pre-trained model services. \n\nVigilant monitoring of cache efficiency and memory utilization is imperative for optimal resource allocation, while the cache's adaptability to dynamic contexts serves as a metric for its ability to accurately respond to evolving conversation dynamics.\nFurthermore, considerations of cache warm-up times contribute to expediting the availability of cached information. In the realm of vector databases, the performance of queries and indexing speed emerges as pivotal indicators directly influencing the system's efficacy in handling similarity searches. \n\nKey factors such as scalability, accuracy of vector representations, and storage efficiency assume critical roles in proficiently managing expanding datasets. Additionally, the performance metrics related to updates, deletions, and query throughput further impact the overall effectiveness of these systems in delivering real-time and accurate responses in natural language processing and similarity search applications.\n\nStriking an optimal balance across these Key Performance Indicators (KPIs) ensures that both semantic LLM caches and vector databases, like Milvus, achieve peak performance across diverse use cases. \n\nTo summarize, the overarching goal of vector databases, exemplified by Milvus, is to address performance-related challenges, enhance operational efficiency, and contribute to a more seamless and responsive experience in various natural language processing applications."
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"source": "Setting up full stack observability for your GenAI applications is possible with Traceloop's OpenLLMetry, with OpenTelemetry under the hood, which can seamlessly provide comprehensive end-to-end insights into your production environments. \n\nTo set up OpenLLMetry with Dynatrace, see [Dynatrace Documentation](https://docs.dynatrace.com/docs/analyze-explore-automate/dynatrace-for-ai-observability/get-started)."
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"source": "Milvus exposes Prometheus-compatible metrics for monitoring at **port 9091** under the path **/metrics**. A standard Prometheus setup can be used to visualize metrics on various dashboards in your Dynatrace environment.\n\nMilvus metrics are then used to measure request latencies, import speed, time spent on vector vs object storage, memory usage, application usage, and more.\n\nBeside other measurements, Milvus exposes following metrics that allow users to observe the health and performance of their vectorized index.\n\nYou can use Dynatrace to display, analyze and alert on many different Milvus telemetry metrics that can be categorized into the following three main areas:\n\n•\tMilvus Performance Metrics\n•\tSystem Performance Metrics: Metrics relating to CPU/GPU usage, network traffic, and disk read speed.\n•\tHardware Storage Metrics: Metrics relating to data size, data files, and storage capacity.\n\n### Milvus Performance Metrics\n- **Insert per Second**: Number of vectors that are inserted in a second. (Real-time display)\n- **Queries per Minute**: \"Queries Per Minute\" (QPM) is a performance metric employed in technical documentation to gauge a system's efficiency in processing search queries within a designated timeframe, typically a minute. This metric is derived by dividing the total number of executed queries by the duration of the observed time period. For example, if a system completes 100 search queries in 5 minutes, the QPM would be calculated as 20 QPM. QPM is instrumental in assessing the responsiveness and effectiveness of systems, particularly in real-time applications where timely query processing is critical. It serves as a key indicator for developers to optimize algorithms and resources, identifying potential bottlenecks and improving overall system performance. Interpretation of QPM is often complemented by considering other metrics like query elapsed time and resource utilization, providing a comprehensive view of a system's efficiency in handling search queries.\n- **Query Time per Vector**: Average time to query one vector. Divide the query elapsed time by the number of queried vectors.\n- **Query Service Level**: Query service level = n_queries_completed_within_threshold1 / n_queries. Generally, it is recommended to set 3 time periods - threshold1, threshold2, and threshold3, to track the query service level.\n- **Uptime**\n\n### Milvus System Performance Metrics\n-**GPU Utilization**: GPU utilization ratio (%).\n- **GPU Memory Usage**: GPU memory (GB) currently consumed by Milvus.\n- **CPU Utilization**: CPU utilization ratio (%). Divide the time that the server is busy by the total elapsed time.\n- **Memory Usage**: Memory (GB) currently consumed by Milvus.\n- **Cache Utilization**: Cache utilization ratio (%).\n-**Network IO**: Network IO read/write speed (GB/s).\n- **Disk Read Speed**: Disk read speed (GB/s).\n- **Disk Write Speed**: Disk write speed (GB/s).\n\n### Milvus Hardware storage metrics\n-**Data Size**: Total amount (GB) of data stored in Milvus.\n**Total File**: Number of data files currently stored in Milvus."
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"source": "The Site Reliability Guardian provides an automated change impact analysis to validate service availability, performance, and capacity objectives across various systems. This enables DevOps platform engineers to make the right release decisions for new versions and empowers SREs to apply Service-Level Objectives (SLOs) for their critical services."
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"source": "* **DevOps can automate safe and secure releases** by applying a gating mechanism that identifies release issues quickly and prevents poor-quality code from being promoted to production.\n\n* **SREs can leverage on-demand reliability validation** by comparing observability data such as service-level objectives against a dedicated release version from the past, or as part of progressive delivery."
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"source": "1. Open the Site Reliability Guardian to create a new guardian.\n\n2. Specify objectives you would like to validate automatically. \n\n3. Create a workflow to automate the change impacts analysis.\n\n4. Trigger a validation on demand or by sending an event to Dynatrace.\n\n5. Leverage the validation result to enrich your release process."
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"source": "* Allows you to define service or application objectives that are validated at specific events or on-demand to detect regressions.\n\n* Leverages *Workflows* to execute a customizable default workflow for your automation requirements. \n\n* Links to a notebook for a detailed root cause analysis of a failed validation."
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"about": "The Site Reliability Guardian provides an automated change impact analysis to validate service availability, performance, and capacity objectives across various systems. This enables DevOps platform engineers to make the right release decisions for new versions and empowers SREs to apply Service-Level Objectives (SLOs) for their critical services.",
"use_cases": "* **DevOps can automate safe and secure releases** by applying a gating mechanism that identifies release issues quickly and prevents poor-quality code from being promoted to production.\n\n* **SREs can leverage on-demand reliability validation** by comparing observability data such as service-level objectives against a dedicated release version from the past, or as part of progressive delivery.",
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"get_started": "1. Open the Site Reliability Guardian to create a new guardian.\n\n2. Specify objectives you would like to validate automatically. \n\n3. Create a workflow to automate the change impacts analysis.\n\n4. Trigger a validation on demand or by sending an event to Dynatrace.\n\n5. Leverage the validation result to enrich your release process."
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"release_notes": "### 1.17.0\r\n\r\nWe are excited to announce the latest updates to the Site Reliability Guardian. This release includes several key improvements designed to enhance your experience and ensure greater reliability and performance.\r\n\r\nKey Improvements:\r\n1.\t**Enhanced Unit Detection:**\r\n This release brings an improved experience in detecting units of measurement for metrics powered by Grail. This enhancement ensures more accurate and consistent metric reporting, helping you make better-informed decisions.\r\n2.\t**Updated Kubernetes Templates:**\r\n We have updated our Kubernetes templates with new metrics. These updates provide deeper insights and more comprehensive monitoring of your Kubernetes environments, enabling you to maintain optimal performance and reliability.\r\n3.\t**Increased Stability and Reliability in Heavy-Load Environments:**\r\n We have further increased the stability and reliability of validations in heavy-load environments. This improvement allows your validations to scale more effectively, ensuring consistent performance even under demanding conditions.",
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"release_notes": "### 1.16.1\r\n\r\nWe have addressed an issue where validations can sometimes fail during heavy load.\r\n\r\n### 1.16.0\r\n\r\nThis release allows you to have control over what units your objectives will use.\r\nIn this initial version, we support units based on duration, percentages, data and data rate, as well as cores.\r\n\r\nYou can now also use the Site Reliability Guardian’s validations in Simple Workflows to enhance flexibility and efficiency for lean validation scenarios.\r\n\r\nIn situations where many validations occur simultaneously, the Site Reliability Guardian will now have better timed validation to avoid issuing too many requests to Grail at once.\r\nThis improves the reliability of your validations even during heavy workloads.\r\n\r\nLastly, this release brings minor visual improvements for a better user experience, updated Japanese language support, and includes further accessibility support.",
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"release_notes": "### 1.16.0\r\n\r\nThis release allows you to have control over what units your objectives will use.\r\nIn this initial version, we support units based on duration, percentages, data and data rate, as well as cores.\r\n\r\nYou can now also use the Site Reliability Guardian’s validations in Simple Workflows to enhance flexibility and efficiency for lean validation scenarios.\r\n\r\nIn situations where many validations occur simultaneously, the Site Reliability Guardian will now have better timed validation to avoid issuing too many requests to Grail at once.\r\nThis improves the reliability of your validations even during heavy workloads.\r\n\r\nLastly, this release brings minor visual improvements for a better user experience, updated Japanese language support, and includes further accessibility support.",
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"release_notes": "### 1.15.0\n\nThis release improves guidance to identify when permissions cannot be performed due to a lack of permissions.\n\nFurthermore, this release improves handling of larger amounts of validations for a specific guardian.",
"created": "2024-12-12T12:11:42.342321Z"
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"name": "dynatrace.site.reliability.guardian@1.14.0",
"fqn": "dynatrace.site.reliability.guardian",
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"release_notes": "### 1.14.0\n\nThis release increases the length limit of DQL to 4000 characters to enable more complex use cases.\nIn addition, error messages from missing permissions or unexpected results have been made more visible.",
"created": "2024-12-03T08:18:52.772749Z"
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"artifact": null,
"release_notes": "### 1.13.2\n\nThis release includes some minor visual improvements.\n\n### 1.13.1\n\nThis release further refines the concurrency of objective validations.\nIn addition, some templates have been improved to work better with multiple services.\n\n### 1.13.0\n\nThis is a minor performance improvement of the validation functionality.\n\nIn addition, we have addressed an issue with \"Drilldown in Notebooks\".",
"created": "2024-11-19T10:35:20.368307Z"
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"release_notes": "### 1.13.1\n\nThis release further refines the concurrency of objective validations.\nIn addition, some templates have been improved to work better with multiple services.\n\n### 1.13.0\n\nThis is a minor performance improvement of the validation functionality.\n\nIn addition, we have addressed an issue with \"Drilldown in Notebooks\".",
"created": "2024-11-14T14:01:05.728238Z"
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"name": "dynatrace.site.reliability.guardian@1.13.0",
"fqn": "dynatrace.site.reliability.guardian",
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"release_notes": "### 1.13.0\n\nThis is a minor performance improvement of the validation functionality.\n\nIn addition, we have addressed an issue with \"Drilldown in Notebooks\".",
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"release_notes": "### 1.12.2\n\nThis release improves the stability of the Site Reliability Guardian.\nFurthermore, it is more resilient when using time expressions for metrics.\n\n### 1.12.1\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.12.0\n\nThis release improves the performance of a guardian validation when objectives with auto-adaptive thresholds are validated.\n\nIn addition, the “Get started with Automation” guide, which can be opened via a Notebook, has been fixed.",
"created": "2024-10-22T13:49:26.223242Z"
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"release_notes": "### 1.12.1\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.12.0\n\nThis release improves the performance of a guardian validation when objectives with auto-adaptive thresholds are validated.\n\nIn addition, the “Get started with Automation” guide, which can be opened via a Notebook, has been fixed.",
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"release_notes": "### 1.12.0\n\nThis release improves the performance of a guardian validation when objectives with auto-adaptive thresholds are validated.\n\nIn addition, the “Get started with Automation” guide, which can be opened via a Notebook, has been fixed.",
"created": "2024-09-23T07:16:01.062140Z"
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"fqn": "dynatrace.site.reliability.guardian",
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"release_notes": "### 1.11.2\n\nThis maintenance release is bundled with some minor quality of life improvements.\nIt is now easier to set up a guardian from a template for a specific entity.\nAdditionally, the objective name column can now be resized.\n\n### 1.11.1\n\nThis maintenance release aims to improve the user experience.\nLinks in your descriptions and tags can now be clicked on.\nThis version also brings slightly adapted templates that simplify DQL queries to leverage the improved unit conversion introduced in the last version.\n\n### 1.11.0\n\nThis release improves the objective visualization by automatically adapting the unit of the measured value.\nAs a result, the unit of large numbers changes to reduce the number of digits shown.\nThis change is easily visible for objectives with a duration unit.\n\nIn addition, the current user's time zone is now considered when executing DQL queries for a given timespan.",
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"release_notes": "### 1.11.1\n\nThis maintenance release aims to improve the user experience.\nLinks in your descriptions and tags can now be clicked on.\nThis version also brings slightly adapted templates that simplify DQL queries to leverage the improved unit conversion introduced in the last version.\n\n### 1.11.0\n\nThis release improves the objective visualization by automatically adapting the unit of the measured value.\nAs a result, the unit of large numbers changes to reduce the number of digits shown.\nThis change is easily visible for objectives with a duration unit.\n\nIn addition, the current user's time zone is now considered when executing DQL queries for a given timespan.",
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"release_notes": "### 1.11.0\n\nThis release improves the objective visualization by automatically adapting the unit of the measured value.\nAs a result, the unit of large numbers changes to reduce the number of digits shown.\nThis change is easily visible for objectives with a duration unit.\n\nIn addition, the current user's time zone is now considered when executing DQL queries for a given timespan.",
"created": "2024-07-17T09:33:57.406736Z"
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"release_notes": "### 1.10.0\n\nThis release introduces a template for the Four Golden Signals according to Google's Site Reliability Engineering practices\nfor user-facing services.\nThe template checks four important parameters:\n\n- Latency\n- Traffic\n- Errors\n- Saturation\n\nMany of the objectives also make use of auto-adaptive thresholds to better identify\nsudden deviations in your service.",
"created": "2024-06-27T07:07:55.352748Z"
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"fqn": "dynatrace.site.reliability.guardian",
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"release_notes": "### 1.9.3\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.9.2\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.9.1\n\nMitigation of an issue where previous changes to the Settings schema impeded creating guardians via the API.\n\n### 1.9.0\n\nThis release of the Site Reliability Guardian delivers the following new capabilities and main improvements regarding user experience:\n\n- Auto-adaptive thresholds\n- Enrichment of workflow action output\n- New and shiny appearance\n\nWhile you previously set your objective thresholds manually, you can now leverage the power of Davis AI to derive the threshold automatically.\nThis is known as auto-adaptive thresholds that help you to protect your quality and security improvements by baselining the thresholds based on previous validation results.\nYou can seamlessly switch between static to an auto-adaptive threshold for existing guardians.\nGiven this new capability it allows you to stay focused on delivering your successful product without concerning of proper objective thresholds.\n\nIn addition, this release enhances the Workflow validation action by returning details of the individual objectives.\nThis enables you to immediately use the objective details as part of the workflow execution.\n\nFinally, the Site Reliability Guardian logo has evolved to come with a new appearance but without losing its core values.\nIn addition to the new logo, the release improves the user experience regarding accessibility and with more information in context.",
"created": "2024-06-12T11:15:19.552365Z"
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"fqn": "dynatrace.site.reliability.guardian",
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"release_notes": "### 1.9.1\n\nMitigation of an issue where previous changes to the Settings schema impeded creating guardians via the API.\n\n### 1.9.0\n\nThis release of the Site Reliability Guardian delivers the following new capabilities and main improvements regarding user experience:\n\n- Auto-adaptive thresholds\n- Enrichment of workflow action output\n- New and shiny appearance\n\nWhile you previously set your objective thresholds manually, you can now leverage the power of Davis AI to derive the threshold automatically.\nThis is known as auto-adaptive thresholds that help you to protect your quality and security improvements by baselining the thresholds based on previous validation results.\nYou can seamlessly switch between static to an auto-adaptive threshold for existing guardians.\nGiven this new capability it allows you to stay focused on delivering your successful product without concerning of proper objective thresholds.\n\nIn addition, this release enhances the Workflow validation action by returning details of the individual objectives.\nThis enables you to immediately use the objective details as part of the workflow execution.\n\nFinally, the Site Reliability Guardian logo has evolved to come with a new appearance but without losing its core values.\nIn addition to the new logo, the release improves the user experience regarding accessibility and with more information in context.",
"created": "2024-06-03T09:34:27.812464Z"
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"release_notes": "### 1.8.3\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.8.2\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.8.1\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.8.0\n\nKubernetes templates have been adapted to use the K8s container metrics. Previously, workload metrics were used, which are no longer available.\n\nIt is now possible to add 50 objectives to a single guardian.\n\nAdditionally, some objectives show their corresponding unit if Grail returns the unit.",
"created": "2024-03-29T12:45:20.978528Z"
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"release_notes": "### 1.8.2\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.8.1\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.8.0\n\nKubernetes templates have been adapted to use the K8s container metrics. Previously, workload metrics were used, which are no longer available.\n\nIt is now possible to add 50 objectives to a single guardian.\n\nAdditionally, some objectives show their corresponding unit if Grail returns the unit.",
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"release_notes": "### 1.8.1\n\nThis release improves the stability of the Site Reliability Guardian.\n\n### 1.8.0\n\nKubernetes templates have been adapted to use the K8s container metrics. Previously, workload metrics were used, which are no longer available.\n\nIt is now possible to add 50 objectives to a single guardian.\n\nAdditionally, some objectives show their corresponding unit if Grail returns the unit.",
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"version": "1.7.0",
"artifact": null,
"release_notes": "### 1.7.0\n\nThe ability to use Jinja expressions to select a guardian has been added to maximize the efficiency of your workflows.\nIt can be used to execute several guardians in the same action, or choose guardians in a workflow based on a previous task or triggering event dynamically.\n\nNew guidance in the form of sample results has been added.\nThis makes it easier to reference the results of a validation in subsequent workflow steps.",
"created": "2024-01-19T08:15:20.816517Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.6.4",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.6.4",
"artifact": null,
"release_notes": "### 1.6.4\n\nInternal release for Perform'24.\n\n### 1.6.3\n\nThis release resolves reported issues and improves the overall stability and performance.\nThe bundled templates have also been improved slightly.\n\n### 1.6.2\n\nThis release resolves reported issues and improves the overall stability and performance.\n\n### 1.6.1\n\nThis release resolves reported issues and improves the overall stability and performance.\n\n### 1.6.0\n\nThis release extends the guardian creation with templates by an entity selection as part of that process and introduces variables in objective queries.\n\nWhen picking a template to create a new guardian, entities that the guardian shall reference can be selected.\nConsequently, the provided objectives of the template will be adjusted referring to the selected entities.\n\nWith the support of variables in objective queries, guardian validations can be parameterized.\nTo use this new feature, a variable starting with the `$` prefix can be defined in the DQL query of an objective.\nWhile a default value must be provided, this default value can be overridden when performing the guardian validation.\nConsequently, these variables retrieve their value when triggering a manual validation, or from the execution of the automation workflow.\nWhen reviewing an executed validation, variables are substituted by the provided values reflecting the context in which the objectives were checked.",
"created": "2024-01-09T07:40:35.535673Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.6.3",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.6.3",
"artifact": null,
"release_notes": "### 1.6.3\n\n#### Patch Changes\n\nThis release resolves reported issues and improves the overall stability and performance.\nThe bundled templates have also been improved slightly.\n\n### 1.6.2\n\n#### Patch Changes\n\nThis release resolves reported issues and improves the overall stability and performance.\n\n### 1.6.1\n\n#### Patch Changes\n\nThis release resolves reported issues and improves the overall stability and performance.\n\n### 1.6.0\n\nThis release extends the guardian creation with templates by an entity selection as part of that process and introduces variables in objective queries.\n\nWhen picking a template to create a new guardian, entities that the guardian shall reference can be selected.\nConsequently, the provided objectives of the template will be adjusted referring to the selected entities.\n\nWith the support of variables in objective queries, guardian validations can be parameterized.\nTo use this new feature, a variable starting with the `$` prefix can be defined in the DQL query of an objective.\nWhile a default value must be provided, this default value can be overridden when performing the guardian validation.\nConsequently, these variables retrieve their value when triggering a manual validation, or from the execution of the automation workflow.\nWhen reviewing an executed validation, variables are substituted by the provided values reflecting the context in which the objectives were checked.",
"created": "2023-11-28T02:53:48.442561Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.6.1",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.6.1",
"artifact": null,
"release_notes": "### 1.6.1\n\n#### Patch Changes\n\nThis release resolves reported issues and improves the overall stability and performance.\n\n### 1.6.0\n\nThis release extends the guardian creation with templates by an entity selection as part of that process and introduces variables in objective queries.\n\nWhen picking a template to create a new guardian, entities that the guardian shall reference can be selected.\nConsequently, the provided objectives of the template will be adjusted referring to the selected entities.\n\nWith the support of variables in objective queries, guardian validations can be parameterized.\nTo use this new feature, a variable starting with the `$` prefix can be defined in the DQL query of an objective.\nWhile a default value must be provided, this default value can be overridden when performing the guardian validation.\nConsequently, these variables retrieve their value when triggering a manual validation, or from the execution of the automation workflow.\nWhen reviewing an executed validation, variables are substituted by the provided values reflecting the context in which the objectives were checked.",
"created": "2023-10-23T06:23:52.254012Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.6.0",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.6.0",
"artifact": null,
"release_notes": "### 1.6.0\n\nThis release extends the guardian creation with templates by an entity selection as part of that process and introduces variables in objective queries.\n\nWhen picking a template to create a new guardian, entities that the guardian shall reference can be selected.\nConsequently, the provided objectives of the template will be adjusted referring to the selected entities.\n\nWith the support of variables in objective queries, guardian validations can be parameterized.\nTo use this new feature, a variable starting with the $ prefix can be defined in the DQL query of an objective.\nWhile a default value must be provided, this default value can be overridden when performing the guardian validation.\nConsequently, these variables retrieve their value when triggering a manual validation, or from the execution of the automation workflow.\nWhen reviewing an executed validation, variables are substituted by the provided values reflecting the context in which the objectives were checked.",
"created": "2023-10-05T07:47:30.953258Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.5.1",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.5.1",
"artifact": null,
"release_notes": "### 1.5.0\n\nYou now have an easy way to look at and compare recent validations leveraging a heatmap view.\nWhile the validation timeline is still available, the heatmap is visible as default and provides the same navigation features as the timeline.\nIf the timeline is still the preferred way to investigate recent validations, click on \"Timeline\" to switch the view.\n\nFurthermore, we have revamped the create guardian journey with a new layout for the create/edit screen.\nThis new layout shows all objectives of the guardian on the left side with the individual configuration on the right side.\nConsequently, an improved overview of objectives is provided in the edit mode with more convenience in navigating through them.\n\nYou will now find that it uses space much more efficiently.\nLet us know what you think!\n\nPlease note that we are still improving the experience for narrow viewports.",
"created": "2023-09-20T07:24:44.022753Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.4.2",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.4.2",
"artifact": null,
"release_notes": "### 1.4.2\n\nThere was a minor change in the \"Security Gate\" template to indicate its early adopter status.\n\n### 1.4.1\n\n#### Patch Changes\n\n- 3b251e7d: Add \"Security Gate\" template\n- ed7bf984: Fix: reduce visual icon cropping when previewing the value for DQLs that produce long labels\n- 51e75935: Display last status in analysis header\n\n### 1.4.0\n\n#### Minor Changes\n\n- 84b86c26: Navigate to analysis page after a guardian was created or updated\n- 432f0778: Add an option to save and validate a guardian after creating or updating one\n\n#### Patch Changes\n\n- 27fe147a: Include Tracking of Page view events\n- 1d8b8e8f: Changed objective violation text \"Missed warning by\" to \"Missed pass by\"\n- a43c22bb: Aligned editing link text size on errored objectives with the rest of the text\n- cf93eb44: Template selection modal can now also be closed via \"Create without template\" button\n- ad3c1d15: Change default trigger for workflow based on tags\n- 61ba3bf4: Break validation results into multiple lines for small screens\n- a2f766c7: Fix: i18n-aware number formatting in Objective labels\n- 4ec5e93e: Workflow: Additionally return guardian name, guardian tags, validation summary, validation URL and execution context\n- a8e506f6: Added \"share feedback\" button to app help menu\n- b8b971a1: Workflow action now provides a human-readable summary in the log output",
"created": "2023-08-25T10:23:10.674660Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.4.1",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.4.1",
"artifact": null,
"release_notes": "### 1.4.1\n\n#### Patch Changes\n\n- 3b251e7d: Add \"Security Gate\" template\n- ed7bf984: Fix: reduce visual icon cropping when previewing the value for DQLs that produce long labels\n- 51e75935: Display last status in analysis header\n\n### 1.4.0\n\n#### Minor Changes\n\n- 84b86c26: Navigate to analysis page after a guardian was created or updated\n- 432f0778: Add an option to save and validate a guardian after creating or updating one\n\n#### Patch Changes\n\n- 27fe147a: Include Tracking of Page view events\n- 1d8b8e8f: Changed objective violation text \"Missed warning by\" to \"Missed pass by\"\n- a43c22bb: Aligned editing link text size on errored objectives with the rest of the text\n- cf93eb44: Template selection modal can now also be closed via \"Create without template\" button\n- ad3c1d15: Change default trigger for workflow based on tags\n- 61ba3bf4: Break validation results into multiple lines for small screens\n- a2f766c7: Fix: i18n-aware number formatting in Objective labels\n- 4ec5e93e: Workflow: Additionally return guardian name, guardian tags, validation summary, validation URL and execution context\n- a8e506f6: Added \"share feedback\" button to app help menu\n- b8b971a1: Workflow action now provides a human-readable summary in the log output",
"created": "2023-08-09T13:08:17.261889Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.3.1",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.3.1",
"artifact": null,
"release_notes": "### 1.3.1\n\n#### Patch Changes\n\n- bc830e4d: Improved error messages during a validation execution\n- 12ecf812: Fix: invalid DQL generated in some cased by \"Drilldown in Notebooks\"\n\n### 1.3.0\n\n#### Minor Changes\n\n- ecc636c: Improve the tick position and label at the event timeline\n- 9eae8c2: The event timeline on the analysis page is now able to work with relative timeframes\n- 6c542fd: The event timeline now loads older validations when changing the timeframe\n- 8951dde: Templates for Kubernetes and hosts have been added\n- 8a47cb5: Added a \"view_validation\" intent that can be used to open a specific validation\n- d8b8286: New menu entry \"Drilldown in Notebooks\" on the analysis page to see all objectives in a distinct line graph query.\n- 0959d64: Introduced a template picker for creating guardians\n\n#### Patch Changes\n\n- fc51ed1: Added \"Edit\" menu entry for objectives on the Analysis page\n- 8987cf5: Fix: On guardian update if only the \"I want to add threshold\" toggle was changed, the update did not work\n- bc4c31d: Introduce new serverless function for validating guardians that always returns HTTP 200 + either validationId or error\n- 46b89d2: Remove breadcrumbs from create/edit\n- dcf9d1d: Open Intent receiver instead of workflow app directly\n- 2992e61: Restructured app help menu\n- de62e87: Rename \"Create workflow\" to \"Automate\" to better communicate the intent of the action\n- 0f97f2a: Render non burnRate SLOs as percentage\n- fe1bde9: Switching between SLOs clears preview\n- 2f01f71: Improved loading and error states on analysis page\n- d37a049: Make display of guardian templates on create opt-in/out\n- da5ed93: Prefill SLO thresholds\n- 8f8c2c9: Objective status on the Guardian tile will no longer display \"All good\", but instead summarize how many objectives passed. This is done for consistency reasons.",
"created": "2023-07-25T18:32:15.749274Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.2.2",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.2.2",
"artifact": null,
"release_notes": "### 1.2.2\n\nThis is a maintenance release that addresses some issues that we have observed.\n\n#### Patch Changes\n\n- 69a2113: switched to businessEventsClient SDK for ingesting bizEvents\n- 962911e: Fix: While editing, guardian tag changes were not saved if nothing else was changed\n- 4a281f2: DQL query length has been increased from 800 to 2000 characters\n- 6a16cb0: Resolved problem with keyboard navigation modifying radio group selection\n- d46ffe2: The message of the objective value preview has been made more concise\n\n### 1.2.1\n\n#### Patch Changes\n\n- d38f33e: Fix: Links to Workflows in the Execution Properties no longer violate the browser's Content Security Policy\n- c796223: Fix: Corrected terminology used for objectives\n- 1162f4c: Fix: Parsing error for execution context in SRG workflow action\n\n### 1.2.0\n\nIn this version, we have added the ability to view validation execution properties when viewing a validation.\nThis allows you to leverage workflows to include additional metadata related to a specific validation,\nsuch as the version number or deployment environment.\n\nWe have also incorporated some feedback provided to us by adopters.\nSpecifically, guardians can now have an \"info\" state.\nPreviously, a guardian consisting only of objectives would have been considered a \"pass\".\nThis has been changed to avoid any confusion.\n\n#### Minor Changes\n\n- 73315c5: Focus guardian after creating or updating\n- 8242889: Ability to access analysis page without triggering a validation before\n- e8fb68f: Show workflow properties\n- a0b5da7: Allow info for guardian status\n\n#### Patch Changes\n\n- 0bfb9e1: Adapt execution_context to parse values to string\n- a80fbba: Improved error message for missing permissions while fetching workflow executions\n- 6df3521: Guardians are sorted alphabetically in SRG workflow action dropdown\n- abee590: Report invalid bizevents to the console\n- e5b3fbf: Adapted error message for missing guardianId or timeframeSelectorType in SRG workflow action\n- cb30825: Fix misleading \"Reference SLO not yet supported for preview\" message in the Create/Edit screen for SLOs\n- 2c56d16: Fix unexpected behavior when filtering and navigating\n- ed82b2c: New workflows are now titled \"xyz Validation\", not \"xyz Evaluation\"\n- a40668c: Improved error messages if username or workflow name could not be retrieved\n- 19fe2cb: Include app version in help menu\n- 71f9e04: Validation results: Show full date on hover\n- 9fbbda5: Add \"create workflow\" to the 3-dot menu of guardian tiles\n- ab3da6d: Show tag errors from backend\n- 02b3b3b: Limit objective card name to two rows\n- 409b50b: Show skeletons on dashboard while loading\n- 2d8a331: Fix: Don't show \"%\" unit for error budget burn rate reference SLOs on the analysis page\n- f9ceaee: Proper messages within the SRG workflow action",
"created": "2023-07-04T12:09:31.291581Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.2.1",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.2.1",
"artifact": null,
"release_notes": "### 1.2.1\n\n#### Patch Changes\n\n- d38f33e: Fix: Links to Workflows in the Execution Properties no longer violate the browser's Content Security Policy\n- c796223: Fix: Corrected terminology used for objectives\n- 1162f4c: Fix: Parsing error for execution context in SRG workflow action\n\n### 1.2.0\n\nIn this version, we have added the ability to view validation execution properties when viewing a validation.\nThis allows you to leverage workflows to include additional metadata related to a specific validation,\nsuch as the version number or deployment environment.\n\nWe have also incorporated some feedback provided to us by adopters.\nSpecifically, guardians can now have an \"info\" state.\nPreviously, a guardian consisting only of objectives would have been considered a \"pass\".\nThis has been changed to avoid any confusion.\n\n#### Minor Changes\n\n- 73315c5: Focus guardian after creating or updating\n- 8242889: Ability to access analysis page without triggering a validation before\n- e8fb68f: Show workflow properties\n- a0b5da7: Allow info for guardian status\n\n#### Patch Changes\n\n- 0bfb9e1: Adapt execution_context to parse values to string\n- a80fbba: Improved error message for missing permissions while fetching workflow executions\n- 6df3521: Guardians are sorted alphabetically in SRG workflow action dropdown\n- abee590: Report invalid bizevents to the console\n- e5b3fbf: Adapted error message for missing guardianId or timeframeSelectorType in SRG workflow action\n- cb30825: Fix misleading \"Reference SLO not yet supported for preview\" message in the Create/Edit screen for SLOs\n- 2c56d16: Fix unexpected behavior when filtering and navigating\n- ed82b2c: New workflows are now titled \"xyz Validation\", not \"xyz Evaluation\"\n- a40668c: Improved error messages if username or workflow name could not be retrieved\n- 19fe2cb: Include app version in help menu\n- 71f9e04: Validation results: Show full date on hover\n- 9fbbda5: Add \"create workflow\" to the 3-dot menu of guardian tiles\n- ab3da6d: Show tag errors from backend\n- 02b3b3b: Limit objective card name to two rows\n- 409b50b: Show skeletons on dashboard while loading\n- 2d8a331: Fix: Don't show \"%\" unit for error budget burn rate reference SLOs on the analysis page\n- f9ceaee: Proper messages within the SRG workflow action",
"created": "2023-06-07T11:03:49.905777Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.2.0",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.2.0",
"artifact": null,
"release_notes": "### 1.2.0\n\nIn this version, we have added the ability to view validation execution properties when viewing a validation.\nThis allows you to leverage workflows to include additional metadata related to a specific validation,\nsuch as the version number or deployment environment.\n\nWe have also incorporated some feedback provided to us by adopters.\nSpecifically, guardians can now have an \"info\" state.\nPreviously, a guardian consisting only of objectives would have been considered a \"pass\".\nThis has been changed to avoid any confusion.\n\n#### Minor Changes\n\n- 73315c5: Focus guardian after creating or updating\n- 8242889: Ability to access analysis page without triggering a validation before\n- e8fb68f: Show workflow properties\n- a0b5da7: Allow info for guardian status\n\n#### Patch Changes\n\n- 0bfb9e1: Adapt execution_context to parse values to string\n- a80fbba: Improved error message for missing permissions while fetching workflow executions\n- 6df3521: Guardians are sorted alphabetically in SRG workflow action dropdown\n- abee590: Report invalid bizevents to the console\n- e5b3fbf: Adapted error message for missing guardianId or timeframeSelectorType in SRG workflow action\n- cb30825: Fix misleading \"Reference SLO not yet supported for preview\" message in the Create/Edit screen for SLOs\n- 2c56d16: Fix unexpected behavior when filtering and navigating\n- ed82b2c: New workflows are now titled \"xyz Validation\", not \"xyz Evaluation\"\n- a40668c: Improved error messages if username or workflow name could not be retrieved\n- 19fe2cb: Include app version in help menu\n- 71f9e04: Validation results: Show full date on hover\n- 9fbbda5: Add \"create workflow\" to the 3-dot menu of guardian tiles\n- ab3da6d: Show tag errors from backend\n- 02b3b3b: Limit objective card name to two rows\n- 409b50b: Show skeletons on dashboard while loading\n- 2d8a331: Fix: Don't show \"%\" unit for error budget burn rate reference SLOs on the analysis page\n- f9ceaee: Proper messages within the SRG workflow action",
"created": "2023-06-01T14:25:10.828913Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.1.1",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.1.1",
"artifact": null,
"release_notes": "### 1.1.1\n\nThis is a maintenance release aimed at incorporating some feedback that we have\nreceived from early adopters, or improved some behavior in situations where we\nnoticed room for improvement in production.\n\nThis is probably the last maintenance release for 1.1.x, and we are already\nplanning to follow up with a minor feature-level release in the very near future.\n\n#### Patch Changes\n\n- 3b96f35: \"Getting started with Automation\" has been updated to reflect the current version\n- 9d8f6cc: Correct spacings on Analysis Page\n- e24ccc0: Fix: Different behavior of objective status bar on dashboard and analysis page\n- 9760caa: Fix: Incorrect DQL validity check while creating or updating a guardian\n- 6c50013: Fix: Scheduled guardian execution did not show up\n\n### 1.1.0\n\n#### Minor Changes\n\n- cf63828: Rearrange top-level actions on Analysis page\n- dd79965: Adapt SRG app permissions\n- fdd2449: Show preview value for SLOs\n\n#### Patch Changes\n\n- 345f63e: Correct spacings on Overview Page\n- c7a8aa6: Fixed app description\n- eeac544: SLOs will now display as percentages\n- e74854b: Fix issue with timeranges during DQL/SLO preview in the Create/Edit screen\n- adec1bf: Make tag containers expandable\n- be6ca2c: Adapt to new Workflow event trigger type for bizevents\n- 1a73310: Improve visual representation of tiles\n- 180e217: Fixed capitalization of \"guardian\".\n- 08e5d94: Harmonize date time labels",
"created": "2023-05-15T06:33:49.044972Z"
},
{
"name": "dynatrace.site.reliability.guardian@1.0.3",
"fqn": "dynatrace.site.reliability.guardian",
"version": "1.0.3",
"artifact": null,
"release_notes": "### 1.0.3\n\n#### Patch Changes\n\n- 5ba8499: Fix: the event timeline on the analysis page is now keyboard accessible\n- 5ea7334: Fix: Workflow action should fail if no bizEvents were ingested\n- ef821ca: Added validation errors to both objective and finished events, reworked error messages and handling within the SRG\n\n### 1.0.2\n\n#### Patch Changes\n\nThere are a small number of changes that harmonize the UI/UX aspect of the application.\n\n- b6c20c2: Guardian tags are now displayed on the Overview page\n- a6d2cf1: Fix: The validation now correctly compares >= and <= instead of > and < if target and warning is given\n- ed00478: Fix: Validating process should always be visible\n- 5f9f2c1: Switch to latest Grail dependency\n- 77d3bec: Added max objective hint next to the \"Add objective\" button\n\n### 1.0.1\n\n#### Patch Changes\n\n- 29ce9a2: Fix: Correctly show the execution context on the Analysis page if there is one\n- 10e8778: Refactor WF error messages\n- 4fb2f67: Increase SRG settings schema maxObjects to 1000\n- 97cc516: Allow entering tags on the Create/Edit page\n\n### 1.0.0\n\n#### Major Changes\n\n- This is the first major release of the Site Reliability Guardian\n\n#### Patch Changes\n\n- cc88f7e: Fixed: Not able to clear the guardian and objective description during edit\n- 931559c: Change schema from ordered to unordered\n- b9ee3f3: Objective descriptions are now shown on the Analysis page\n- e9e1280: Show DQL preview when editing a DQL objective\n- 8c47e7a: Adopted Analysis page layout\n- 4a7aab2: Fix target-warning validator with 0 values, and make validator return invalid if equal\n- 976f08b: Guardian filter bar now also supports searching by tag\n- 5ec859a: Description of Guardians is now displayed on the Overview page\n- c084080: The \"configure\" button on the Analysis page is now labeled \"Edit\" to clarity\n- 10c86c9: Simplify the sample workflow when creating a workflow\n- c5974c3: ingest the information on how/who triggered an SRG validation to the bizEvents\n- 155def9: Add \"Getting started with Automation\" notebook link to Analysis page\n- 412e166: Improve create/edit guardian form layout\n- db3ef03: Placeholders for from and to input fields in SRG WF action\n- cd660d4: Update Chip component for tags\n- 0c48bca: Not show description/tags card if validation does not provide either\n- 88a3e4a: Fix generated workflow action\n- 6d366d4: Fixed visual defects on the Create/Edit page\n- 9e4e6fb: Only show one error message if guardian is not found\n- 74d6298: Links to external apps on the Analysis page are now in a 3-dot-menu",
"created": "2023-04-20T08:51:34.609499Z"
},
{
"name": "dynatrace.site.reliability.guardian@0.5.6",
"fqn": "dynatrace.site.reliability.guardian",
"version": "0.5.6",
"artifact": null,
"release_notes": "### 0.5.6\n\n#### Patch Changes\n\n- Update of a development dependency that was needed to address a build problem\n\n### 0.5.5\n\n#### Patch Changes\n\n- 64151b3: The application signing has been updated\n\n### 0.5.3\n\n#### Patch Changes\n\n- 3d2dfe4: The user is now given feedback if target/warning levels don't make sense in respect to the comparison operator\n- c23472f: Improved error message when creating a guardian fails\n- ccf0bfd: DQL is now properly validated\n\n### 0.5.2\n\n#### Patch Changes\n\n- 83d5d67: Avoid second <Page> object to get rid of the second scrollbar\n- f06d572: When viewing a query with \"show query\", there is now a button to quickly copy it to the clipboard\n\n### 0.5.1\n\n#### Patch Changes\n\n- 4e85cc2: Move \"Refresh\" button on the Overview page to the right\n- 36bacc1: SRG workflow action - adapt jinja input field and disable fields based on radio selection\n- cdb6f27: Add delete guardian functionality on dashboard page\n- ee71bca: Rename workflow action property from timeframe to timeframeSelector\n- d783011: Add guardianId to result object of the guardian validation workflow action\n- 08189ec: Correct DQL query for fetching validations for a guardian\n- dba9660: New Guardians can now be created via intent\n- e7d4dd8: Edit guardian and objectives\n- 27f548f: Added guardian delete functionality for analysis page.\n- e24d82c: Visually align \"Back\" link button on Analysis page with Dystopia\n- 4e19fef: Remember sorting and filtering settings in a session\n- 538844b: Show latest run of a guardian, instead of the current selected validation\n- e7a9b64: Align terminology (guard -> guardian, etc.)\n- d75af5f: Add Jinja expression support to workflow action\n- a2aefd5: Starting a validation on the analysis page will update the page asynchronously\n- e3abbd8: When no guardians can be displayed (none exist, or filter filtered everything), show an improved notice instead\n- 00f9c43: Enable \"Reset\" button in the filter/sort component\n- f070f48: Add and delete objectives during guardian creation\n- 2f4e738: Add application logo to configuration\n- 03d8a6c: Guardian tiles now have a three-dot-menu for Editing and Deleting",
"created": "2023-03-23T15:59:54.942419Z"
},
{
"name": "dynatrace.site.reliability.guardian@0.5.4",
"fqn": "dynatrace.site.reliability.guardian",
"version": "0.5.4",
"artifact": null,
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"source": "ServiceNow provides a suite of digital applications to manage and automate various business processes, such as incident management, service catalog, and IT operations management.\n\nThis is intended for users who:\n* Want to integrate ServiceNow Incident Management with Dynatrace, create incidents, search and update incidents, or resolve incidents. \n* Import groups from ServiceNow to Dynatrace\n\nThis enables you to: \n* Integrate workflows with ServiceNow incident management. \n* Create ServiceNow incidents based on a Davis AI problem or a business event.\n* Search for available incidents to prevent creating duplicates.\n* Comments incidents to add status updates.\n* Resolve an incident in case a remediation scenario was successful.\n* Search for any data by leveraging a generic search function. \n* Comment on any record in any table by leveraging a generic comment function. \n* Create Vulnerabilities in ServiceNow. \n* Import groups from ServiceNow to Dynatrace ownership information, enabling automated targeted ticketing"
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"source": "* Create incidents in ServiceNow\n* Search for incidents\n* Comment incidents\n* Resolve incidents\n* Generic search\n* Generic comment \n* Create Vulnerabilities in ServiceNow\n* Import groups"
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"source": "Install ServiceNow. Then follow the instructions detailed in Dynatrace Documentation.\n\nBefore you start, make sure that ServiceNow is installed, outbound connections are configured, and the connection to ServiceNow is authorized."
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"source": "ServiceNow integration enables users to model incident creation and management processes within Dynatrace:\n\nDefine various incident triggers:\n* Use the power of DQL and leverage events to react to any problem, security incident, or attack within workflows\n* Use Biz-Events as a trigger to react on extended events like a failed release validation, certain logs messages, or external system events\n* Define a scheduler to create periodic tasks or incidents\n\nFlexible Incident Creation:\n* Create incidents in ServiceNow within a Dynatrace workflow.\n* Define assignment group, impact, urgency.\n* Combine incident creation with closed-loop communication via Slack, Teams, and E-Mail.\n* Search for available incidents to prevent duplicates from being created.\n* Comment incidents to track status updates.\n* Resolve incidents if a problem has been closed.\nGeneric functionality: \n* Search for data in various target tables, identified by table name and ServiceNow Sysparam Query.\n* Comment on various target tables, leveraging table name and ServiceNow Sysparam Query.\n* Create Vulnerabilities in ServiceNow based on Dynatrace Application Security and Davis AI insights.\n\n\nImport ServiceNow groups\n* Synchronize ServiceNow groups regularly or on-demand\n* Updating Dynatrace Ownership teams with ServiceNow groups"
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"caption": "Sensitive data masking sample configuration",
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"unit": "Count",
"description": "Tracks the difference in sequence number between the latest archived and applied redo log. Use this count along with the dimensions to identify gaps between the primary and archive destination.",
"displayName": "Seq. difference"
}
}
]
},
"waitEvents": {
"metrics": [
{
"key": "com.dynatrace.extension.sql-oracle.wait.count",
"metadata": {
"unit": "Count",
"description": "Total number of waits by wait class, excluding 'Idle' events",
"displayName": "Number of wait events by wait class"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.wait.time.count",
"metadata": {
"unit": "MicroSecond",
"description": "Total amount of time waited by wait class, excluding 'Idle' events",
"displayName": "Seconds waited by wait class"
}
}
]
},
"tablespaces": {
"metrics": [
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.totalSpace",
"metadata": {
"unit": "Byte",
"description": "Total size of tablespace, including extensibility. This covers both allocated an unallocated space as large as the tablespace can expand.",
"displayName": "Total size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.freeSpace",
"metadata": {
"unit": "Byte",
"description": "Total free space available in the tablespace, in bytes. This includes space that is currently allocated and available for reuse and space that is currently unallocated.",
"displayName": "Free space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.usedSpace",
"metadata": {
"unit": "Byte",
"description": "Total space in use within the tablespace, in bytes.",
"displayName": "Used space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.usage",
"metadata": {
"unit": "Percent",
"description": "The percentage of tablespace in use, relative to the total size (including extensibility).",
"displayName": "Tablespace usage"
}
}
]
},
"multitenancy": {
"metrics": [
{
"key": "com.dynatrace.extension.sql-oracle.pdb-total_size",
"metadata": {
"unit": "Byte",
"description": "Shows the disk space (in bytes) used by the PDB, including both data and temp files.",
"displayName": "Total size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.pdb-block_size",
"metadata": {
"unit": "Byte",
"description": "The current block size for the PDB",
"displayName": "Block size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.pdb-diagnostic_size",
"metadata": {
"unit": "Byte",
"description": "Shows the current disk space usage (in bytes) of the diagnostic traces generated in the PDB.",
"displayName": "Diagnostic size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.pdb-audit_files_size",
"metadata": {
"unit": "Byte",
"description": "Shows the current disk space usage (in bytes) by Unified Audit files (.bin format) in the current PDB.",
"displayName": "Audit files size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.pdb-max_size",
"metadata": {
"unit": "Byte",
"description": "Shows the maximum amount of disk space (in bytes) that can be used by data and temp files in the PDB. If the value is 0 then there is no limit.",
"displayName": "Max size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.pdb-max_diagnostic_size",
"metadata": {
"unit": "Byte",
"description": "Shows the maximum amount of disk space (in bytes) that can be used by diagnostic traces generated in the PDB. If the value is 0 then there is no limit.",
"displayName": "Max diagnostic size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.pdb-max_audit_size",
"metadata": {
"unit": "Byte",
"description": "Shows the maximum amount of disk space (in bytes) that can be used by Unified Audit files (.bin format) in the PDB. If the value is 0 then there is no limit.",
"displayName": "Max audit size"
}
}
]
},
"asm (detailed)": {
"metrics": [
{
"key": "com.dynatrace.extension.sql-oracle.asm.disk.free_mb",
"metadata": {
"unit": "MegaByte",
"description": "Free disk space available on this Oracle ASM Disk",
"displayName": "Free space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.asm.disk.total_mb",
"metadata": {
"unit": "MegaByte",
"description": "Total disk space available on this Oracle ASM Disk",
"displayName": "Total space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.asm.disk.usage",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk space used on this Oracle ASM Disk",
"displayName": "Used space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.asm.disk.reads.count",
"metadata": {
"unit": "Count",
"description": "Number of reads from this Oracle ASM Disk",
"displayName": "Reads"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.asm.disk.writes.count",
"metadata": {
"unit": "Count",
"description": "Number of writes to this Oracle ASM Disk",
"displayName": "Writes"
}
}
]
},
"Blocked sessions": {
"metrics": []
},
"queryPerformance": {
"metrics": [
{
"key": "com.dynatrace.extension.sql-oracle.queries.connectionManagement.count",
"metadata": {
"unit": "MicroSecond",
"description": "Time spent on performing session connect and disconnect calls",
"displayName": "Connection management time"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.queries.plSqlExec.count",
"metadata": {
"unit": "MicroSecond",
"description": "Time spent on running the PL/SQL interpreter",
"displayName": "PL SQL exec time"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.queries.sqlExec.count",
"metadata": {
"unit": "MicroSecond",
"description": "Time spent on executing SQL",
"displayName": "SQL exec time"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.queries.sqlParse.count",
"metadata": {
"unit": "MicroSecond",
"description": "Time spent on parsing SQL",
"displayName": "SQL parse time"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.queries.dbTime.count",
"metadata": {
"unit": "MicroSecond",
"description": "Time spent on performing Database user-level calls",
"displayName": "DB Time"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.queries.cpuTime.count",
"metadata": {
"unit": "MicroSecond",
"description": "CPU time spent on performing database user-level calls",
"displayName": "DB CPU"
}
}
]
},
"waitEvents (detailed)": {
"metrics": [
{
"key": "com.dynatrace.extension.sql-oracle.wait.events.count",
"metadata": {
"unit": "Count",
"description": "Total number of waits by wait event, excluding 'Idle' events. Only collects the top 20 most time consuming events.",
"displayName": "Number of wait events"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.wait.events.time.count",
"metadata": {
"unit": "MicroSecond",
"description": "Total amount of time waited by wait event, excluding 'Idle' events. Only collects the top 20 most time consuming events.",
"displayName": "Seconds waited"
}
}
]
},
"tablespaces (detailed)": {
"metrics": [
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.totalSpace",
"metadata": {
"unit": "Byte",
"description": "Total size of tablespace, including extensibility. This covers both allocated an unallocated space as large as the tablespace can expand.",
"displayName": "Total size"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.freeSpace",
"metadata": {
"unit": "Byte",
"description": "Total free space available in the tablespace, in bytes. This includes space that is currently allocated and available for reuse and space that is currently unallocated.",
"displayName": "Free space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.usedSpace",
"metadata": {
"unit": "Byte",
"description": "Total space in use within the tablespace, in bytes.",
"displayName": "Used space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.allocatedSpace",
"metadata": {
"unit": "Byte",
"description": "Total space in use within the tablespace, in bytes.",
"displayName": "Allocated space"
}
},
{
"key": "com.dynatrace.extension.sql-oracle.tablespaces.usage",
"metadata": {
"unit": "Percent",
"description": "The percentage of tablespace in use, relative to the total size (including extensibility).",
"displayName": "Tablespace usage"
}
}
]
}
},
"minDynatraceVersion": "1.301.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Dynatrace automatically detects all applications and microservices deployed in your system and how your system uses Oracle Database.\n\nDynatrace diagnoses anomalies in real time with AI and pinpoints the root cause in slow-performing or erroneous SQL statements. Deep code-level insights combined with cloud-native database server monitoring help you ensure a robust production environment.\n\nThe Oracle Database extension complements the client-side database usage insights by providing server-side observability starting with availability and performance statistics, down to individual SQL statements and log insights."
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "* Understand all database dependencies of your applications, which database statements are executed, and their performance.\n* Improve the performance of your application by reducing or optimizing typical database patterns like the 1+N query problem\n* Understand the resource impact that your applications have on your database.\n* Understand the impact that resource shortages or other database issues have on your application by observing the database server itself.\n* Manage and analyze DB audit logs to spot invalid login attempts\n* Track the health and performance of Oracle Database servers (either standalone or multi-tenant)\n* Track the most time consuming queries performance\n* Speed up application-problem diagnosis when issues are caused by the database"
},
"sourceId": "use_cases"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "**Get started for Oracle Database clients:**\n\nIf the application that connects to the Oracle Database server runs on a virtual machine or bare-metal, [install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on it to get started.\n\nIf the application that connects to the Oracle Database server runs as a workload in Kubernetes or OpenShift, [set up Dynatrace on Kubernetes or OpenShift](https://www.dynatrace.com/support/help/shortlink/full-stack-dto-k8).\n\nActivate the following OneAgent features to get full tracing insight:\n* Node.js Oracle DB\n* PHP Oracle\n\n**Get started with Oracle Database servers:**\n\nIf your Oracle Database server runs on a virtual machine or bare-metal, [install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on it to get started with system performance metrics.\n\n[Activate the remote Oracle Database extension](https://www.dynatrace.com/support/help/shortlink/extend-oracle) to get full insight into the Oracle Database server's health and performance combined with metrics and events. \n\nThe extension collects data by directly querying the database's performance views and thus requires a connection to the database. A dedicated user account is recommended for monitoring. For convenience, user creation scripts can be [found here](https://github.com/dynatrace-extensions/convenience-scripts/tree/main/oracle-db). These scripts will create a user with the ```CREATE_SESSION``` role and ```SELECT``` permissions on the following performance views:\n* ```CDB_DATA_FILES```\n* ```CDB_TABLESPACE_USAGE_METRICS```\n* ```CDB_TABLESPACES```\n* ```CDB_TEMP_FILES```\n* ```GV_$ARCHIVE_DEST```\n* ```GV_$ARCHIVE_DEST_STATUS```\n* ```V_$ASM_DISK_STAT```\n* ```V_$ASM_DISKGROUP_STAT```\n* ```V_$BACKUP_SET_DETAILS```\n* ```GV_$CLUSTER_INTERCONNECTS```\n* ```GV_$CONTAINERS```\n* ```V_$CONTAINERS```\n* ```GV_$CON_SYS_TIME_MODEL```\n* ```GV_$CON_SYSSTAT```\n* ```GV_$DATABASE```\n* ```V_$DATABASE```\n* ```V_$DATABASE_BLOCK_CORRUPTION```\n* ```GV_$DATAFILE```\n* ```V_$DATAFILE```\n* ```GV_$DATAGUARD_STATUS```\n* ```GV_$INSTANCE```\n* ```GV_$INSTANCE_PING```\n* ```GV_$LIBRARYCACHE```\n* ```V_$LOG```\n* ```GV_$METRIC```\n* ```GV_$METRICGROUP```\n* ```GV_$PARAMETER```\n* ```GV_$PDBS```\n* ```GV_$PGASTAT```\n* ```V_$RECOVER_FILE```\n* ```V_$RECOVERY_FILE_DEST```\n* ```GV_$RESOURCE_LIMIT```\n* ```V_$RMAN_BACKUP_JOB_DETAILS```\n* ```GV_$SESSION```\n* ```V_$SESSION```\n* ```GV_$SGASTAT```\n* ```GV_$SQL```\n* ```V_$SQL```\n* ```GV_$SQLAREA```\n* ```V_$SQL_PLAN```\n* ```V_$SQL_PLAN_STATISTICS_ALL```\n* ```GV_$SYSSTAT```\n* ```GV_$SYSTEM_EVENT```\n* ```GV_$SYSTEM_WAIT_CLASS```\n* ```V_$TABLESPACE```\n* ```V_$TEMPFILE```\n\nAlternatively, the `SELECT_CATALOG_ROLE` can be assigned to the monitoring user. \n\nWhile the extension supports connecting directly to a Pluggable Database (PDB), our recommended approach to monitor a multitenant Oracle DB setup is to point to extension the CDB. PDB discovery and monitoring will occur automatically. In this case, explicit permissions to access data across all containers may be needed:\n\n`alter user <your_username> set container_data=all container = current;`\n\nThese privileges are already included in the user creation scripts.\n\nUsers of the Databases App who want to make use of Query Execution Plans, will also need to provide permission for the `V$SQL_PLAN`, `V$SESSION`, `V$SQL_PLAN_STATISTICS_ALL` and `V$SQL` views. These permissions are included in the user creation scripts. See the execution plan monitoring section below for more details.\n\nFinally, [activate log monitoring](https://www.dynatrace.com/support/help/shortlink/log-monitoring-hub-v2) to get full log insight. \n\nNote: \nWith the **TopN** feature set, the extension reports the most time consuming queries on the Oracle Instance entity page, in a card called \"Logs\". Enabling this feature may expose sensitive data in the reported queries."
},
"sourceId": "get_started"
},
{
"type": "markdown",
"properties": {
"title": "Compatibility information",
"source": "**The following Oracle versions are supported:**\n\n- Oracle DB 12.2+\n\n**The following architectures are supported:**\n\n- Oracle standalone servers\n- Oracle Multitenant (CDB/PDB)\n - Configure monitoring for CDB to detect all PDBs\n- Oracle AWS RDS\n- Oracle RAC\n - Configure monitoring for the SCAN listener to detect all instances and databases."
},
"sourceId": "supported_distributions"
},
{
"type": "markdown",
"properties": {
"title": "Log Management and Analytics",
"source": "### Audit log files tracking\n\n#### Check log file's location\n- `SELECT name, value FROM v$parameter WHERE name = 'audit_trail';` \n`OS` means that the audit logs are stored locally in the file.\n- `SELECT value FROM v$parameter WHERE name = 'audit_file_dest';` \nspecifies the log file's location\n\n#### Add LogAgent security rules\nConfigure LogAgent's security rules to allow access to local files, by adding the `oracle.json` file under :\n- on Linux/UNIX: `/var/lib/dynatrace/oneagent/agent/config/logmodule`\n- on Windows: `%PROGRAMDATA%\\dynatrace\\oneagent\\agent\\config\\logmodule`\n\n```\n{\n \"@version\": \"1.0.0\",\n \"allowed-log-paths-configuration\": [\n {\n \"directory-pattern\": \"/u01/app/oracle/admin/oracle_standalone/adump/\",\n \"file-pattern\": \"*.aud\",\n \"action\": \"INCLUDE\"\n }\n ]\n}\n```\nAgent restart is not required, this config will be applied within 1 minute.\n\n#### Configure custom log source and log ingest rules\n##### Custom log source\nUse the log file location fetched via the query executed in the first step, e.g. `/u01/app/oracle/admin/oracle_standalone/adump/*`.\n\n##### Log ingest rules\nAn example configuration that includes only `ORA-01017` that reports invalid username or password logon attempts could be configured using:\n`Log content is any of: (.*)RETURNCODE:\\[(\\d+)\\] \"1017 AND Log source is any of:\n/u01/app/oracle/admin/oracle_standalone/adump/*`\n\n#### Accessing logs\nLogs collected the way described above can be accessed using following DQL query:\n`fetch logs\n| filter matchesValue(log.source, \"/u01/app/oracle/admin/oracle_standalone/adump/*\")`.\n\n#### Metrics extraction\n##### Log processing rule\nConfigure log processing rule to extract log attributes out of the log content:\n- Rule name: preferred name\n- Matcher: `matchesValue(log.source, \"/u01/app/oracle/admin/oracle_standalone/adump/*\")`\n- Processor definition: \n```\nPARSE(content, \"\n DATA ' RETURNCODE:['INT']' SPACE '\\\"' INT:ora.returncode LD\") |\nPARSE(content, \"\n DATA ' USERID:['INT']'SPACE CSVDQS:ora.userid LD\") | \nPARSE(content, \"\n DATA ' USERHOST:['INT']'SPACE CSVDQS:ora.userhost LD\") \n```\n\n##### Metric extraction\nExtract metrics from log entries to enable alerting:\n- Metric key: e.g.`log.oracle.invalid_credentials`\n- Matcher: `matchesValue(log.source, \"/u01/app/oracle/admin/oracle_standalone/adump/*\")`\n- Metric measurement: `Occurence of logs records`\n- Dimensions: specify the log attributes to be used as metric dimensions"
},
"sourceId": "blocks_0"
},
{
"type": "markdown",
"properties": {
"title": "Execution Plan Monitoring",
"source": "For SaaS customers with access to the Databases app, the execution plan monitoring functionality is also available when analyzing statement performance.\n\nFor this feature to work, the [`DBMS_XPLAN` package](https://docs.oracle.com/en/database/oracle/oracle-database/19/arpls/DBMS_XPLAN.html) needs to be available, and the user configured in the Dynatrace extension needs to have permissions to call the `DISPLAY_CURSOR` function. As per [the official documentation](https://docs.oracle.com/en/database/oracle/oracle-database/19/arpls/DBMS_XPLAN.html#GUID-BEE6D488-0381-4864-9B19-6299DE2B6210) this means that `SELECT` or `READ` permissions are required on the following views:\n\n- `V$SQL_PLAN`\n- `V$SESSION`\n- `V$SQL_PLAN_STATISTICS_ALL`\n- `V$SQL`\n\nIn addition to this, the `SELECT` permission is also required for `V$SQL_PLAN`.\n\nPlease note that the execution plan monitoring feature may sometimes not work as expected for RAC deployments. This will be fixed as soon as possible."
},
"sourceId": "blocks_1"
},
{
"type": "markdown",
"properties": {
"title": "Sensitive data masking",
"source": "Query performance tracking may expose sensitive data in reported statements. Consequently, Dynatrace provides an optional mechanism that allows masking selected attributes. Details are available in the [official documentation](https://www.dynatrace.com/support/help/shortlink/lma-log-processing-examples).\n\nThe configurations below present and example of how the sensitive data can be masked within the statements tracked.\n- create new processing rule under `Settings -> Log Monitoring -> Processing`\n - Processor definition: `USING(INOUT content) | FIELDS_ADD(content: REPLACE_PATTERN(content, \"(\\\"'\\\"):p1 (LD):p2 (\\\"'\\\"):p3\", \"${p1}${p2|sha1}${p3}\"))`\n- or [create/modify your custom extension](https://docs.dynatrace.com/docs/extend-dynatrace/extensions20/extension-customize) to distribute such rules in your environment:\n```\nlogProcessingRules:\n - ruleName: TopN statements masking\n query: event.group=\"query_performance\"\n enabled: true\n ProcessorDefinition:\n rule: |\n USING(INOUT content) | FIELDS_ADD(content: REPLACE_PATTERN(content, \"(\\\"'\\\"):p1 (LD):p2 (\\\"'\\\"):p3\", \"${p1}${p2|sha1}${p3}\"))\n RuleTesting:\n sampleLog: |\n {\n \"event.group\": \"query_performance\",\n \"content\": \"/*dt:ownQuery*/SELECT DECODE(name, 'sessions', value) AS sessions_limit, DECODE(name, 'processes', value) AS processes_limit FROM v$parameter WHERE name IN('sessions', 'processes')\"\n }\n```\n\nPlease adjust this rule to match your use case."
},
"sourceId": "blocks_2"
},
{
"type": "markdown",
"properties": {
"title": "Licensing",
"source": "The metrics collected through this extension consume Dynatrace Davis Data Units (see [DDUs for metrics](https://docs.dynatrace.com/docs/shortlink/metric-cost-calculation)).\n\nA rough estimation of the amount of DDUs consumed by metric ingest can be obtained through the following formula:\n\n```\n(55 * number of instances * 525.6) + (7 * number of databases * 525.6) + (8 * number of backup jobs per year * 0.005) + (5 * number of ASM disks * 525.6) + (3 * number of ASM disk groups * 525.6)\n```\n\nFor logs, regular DDU consumption for log monitoring applies. Depending on your licensing model, refer either to [DDU consumption for Log Management and Analytics](https://docs.dynatrace.com/docs/shortlink/calculate-log-management-consumption) or [DDUs for Log Monitoring Classic](https://docs.dynatrace.com/docs/shortlink/calculate-log-consumption)."
},
"sourceId": "blocks_3"
},
{
"type": "markdown",
"properties": {
"title": "FAQ",
"source": "#### How does this Dynatrace extension collect data from my databases?\n\nThis extension will run from your Dynatrace ActiveGates and connect to the configured databases. Once the connection has been established, the extension will regularly run queries on the database to gather performance and health metrics, reporting the results back to Dynatrace.\n\nOnly `SELECT` queries are executed to collect data, and the vast majority of these will be selecting `GV$` or `V$` views. To see exactly which queries are executed, please download the extension `yaml` artifact by going to [Release notes](https://www.dynatrace.com/hub/detail/oracle-database/?query=oracle&filter=all#release-notes), opening a release and pressing the `Download version` button.\n\n#### How often are these monitoring queries executed?\n\nFrom version `3.2.0` onwards, query execution frequency is controlled by the configuration variables `query-interval` and `heavy-query-interval`. Most of the queries executed by the extension will run every `query-interval` minutes (with a default of 1 minute), while the queries under\n\n* `asm (detailed)`\n* `tablespaces`\n* `tablespaces (detailed)`\n* `Blocked sessions` \n* `TopN`\n\nwill run every `heavy-query-interval` minutes (with a default of 5 minutes).\n\nFor older versions, most queries run every minute, with exceptions for the heavy queries mentioned above, which run every 5 minutes.\n\n#### How do I adjust query timeout?\n\nBy default, the extension's monitoring queries will timeout after 10 seconds. For a couple of selected queries, the `long-running-query-timeout` variable allows you to specify, in seconds, the timeout for the queries in the following feature sets:\n\n* `asm (detailed)`\n* `tablespaces`\n* `tablespaces (detailed)`\n* `TopN`\n\n#### What is the difference between `Feature set` and `Feature set (detailed)`\n\nThe following feature sets have both a regular version and a detailed versions. These can be enabled or disabled in accordance to your specific use-case:\n\n* `asm` and `asm (detailed)`\n * Due to the high license consumption associated with monitoring thousands of ASM disks, the `asm` feature set captures only ASM disk group data, while the `asm (detailed)` feature set captures data for all disks. Both feature sets can be enabled at the same time.\n* `waitEvents` and `waitEvents (detailed)`\n * To control license consumption, the `waitEvents` feature set will collect wait time metrics aggregated by [wait class](https://docs.oracle.com/en/database/oracle/oracle-database/21/refrn/classes-of-wait-events.html), while the `waitEvents (detailed)` feature set collects metrics for the top 20 wait events.\n* `tablespaces` and `tablespaces (detailed)`\n * Due to high the CPU consumption caused by joining tablespace metrics with datafile data, the `tablespaces` feature set does not collect the `com.dynatrace.extension.sql-oracle.tablespaces.allocatedSpace` metric coming from `CDB_DATA_FILES` (which `tablespaces (detailed)` does). Furthermore, the `tablespaces` feature set only collects data for tablespaces with more than 50% used space (as reported by `CDB_TABLESPACE_USAGE_METRICS`), while the `tablespaces (detailed)` feature set collects metrics for all tablespaces. **Only one of these feature sets should be enabled at any given time**.\n\n#### Why am I missing Data guard metrics?\n\nFor some of the Dataguard metrics, not seeing any data is the correct behavior and it means the Data guard deployment is working as expected. The following metrics will only show datapoints in case there are issues which need further investigation:\n\n- **NOLOGGING activity** will record a metric datapoint whenever there are operations executed against the database which will not generate redo log records. This requires investigation because from a Data guard perspective the mechanism is completely bypassed when such activity occurs, leaving the standby vulnerable until these files are manually refreshed.\n- **Dataguard severe events** will record a metric datapoint whenever Data guard reports a fatal or severe event. In such a situation, the metric dimensions will carry the event message/description which should be further investigated on the Database instance.\n- **Archive destination status** will record a metric datapoint whenever the Database's archive destinations are reporting an Invalid or Error status. The metric dimensions will show a description of the status as well as point to the archive destination which reported the error.\n\n#### Why am I missing CPU usage metrics?\n\nThe `com.dynatrace.extension.sql-oracle.cpu.backgroundTotal` and `com.dynatrace.extension.sql-oracle.cpu.foregroundTotal` metrics are collected from the `GV$METRIC` view filtering by metric group name `System Metrics Long Duration` (Group ID 2). Since metrics for this group are only populated at the CDB level, these two metrics will only be collected when the extension is configured to connect to the CDB and not the PDB.\n\nIf you are missing these two metrics, please double-check your connection configuration and ensure that the extension configuration is pointing to the CDB."
},
"sourceId": "blocks_4"
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],
"modified": "2025-01-30T10:10:21.183274Z",
"created": "2020-08-14T07:46:21.099000Z",
"seo_title": "Oracle Database monitoring & observability",
"seo_description": "Observe, analyze and optimize the usage, health and performance of your database Start your free trial today!",
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"about": "Dynatrace automatically detects all applications and microservices deployed in your system and how your system uses Oracle Database.\n\nDynatrace diagnoses anomalies in real time with AI and pinpoints the root cause in slow-performing or erroneous SQL statements. Deep code-level insights combined with cloud-native database server monitoring help you ensure a robust production environment.\n\nThe Oracle Database extension complements the client-side database usage insights by providing server-side observability starting with availability and performance statistics, down to individual SQL statements and log insights.",
"use_cases": "* Understand all database dependencies of your applications, which database statements are executed, and their performance.\n* Improve the performance of your application by reducing or optimizing typical database patterns like the 1+N query problem\n* Understand the resource impact that your applications have on your database.\n* Understand the impact that resource shortages or other database issues have on your application by observing the database server itself.\n* Manage and analyze DB audit logs to spot invalid login attempts\n* Track the health and performance of Oracle Database servers (either standalone or multi-tenant)\n* Track the most time consuming queries performance\n* Speed up application-problem diagnosis when issues are caused by the database",
"supported_distributions": "**The following Oracle versions are supported:**\n\n- Oracle DB 12.2+\n\n**The following architectures are supported:**\n\n- Oracle standalone servers\n- Oracle Multitenant (CDB/PDB)\n - Configure monitoring for CDB to detect all PDBs\n- Oracle AWS RDS\n- Oracle RAC\n - Configure monitoring for the SCAN listener to detect all instances and databases.",
"get_started": "**Get started for Oracle Database clients:**\n\nIf the application that connects to the Oracle Database server runs on a virtual machine or bare-metal, [install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on it to get started.\n\nIf the application that connects to the Oracle Database server runs as a workload in Kubernetes or OpenShift, [set up Dynatrace on Kubernetes or OpenShift](https://www.dynatrace.com/support/help/shortlink/full-stack-dto-k8).\n\nActivate the following OneAgent features to get full tracing insight:\n* Node.js Oracle DB\n* PHP Oracle\n\n**Get started with Oracle Database servers:**\n\nIf your Oracle Database server runs on a virtual machine or bare-metal, [install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on it to get started with system performance metrics.\n\n[Activate the remote Oracle Database extension](https://www.dynatrace.com/support/help/shortlink/extend-oracle) to get full insight into the Oracle Database server's health and performance combined with metrics and events. \n\nThe extension collects data by directly querying the database's performance views and thus requires a connection to the database. A dedicated user account is recommended for monitoring. For convenience, user creation scripts can be [found here](https://github.com/dynatrace-extensions/convenience-scripts/tree/main/oracle-db). These scripts will create a user with the ```CREATE_SESSION``` role and ```SELECT``` permissions on the following performance views:\n* ```CDB_DATA_FILES```\n* ```CDB_TABLESPACE_USAGE_METRICS```\n* ```CDB_TABLESPACES```\n* ```CDB_TEMP_FILES```\n* ```GV_$ARCHIVE_DEST```\n* ```GV_$ARCHIVE_DEST_STATUS```\n* ```V_$ASM_DISK_STAT```\n* ```V_$ASM_DISKGROUP_STAT```\n* ```V_$BACKUP_SET_DETAILS```\n* ```GV_$CLUSTER_INTERCONNECTS```\n* ```GV_$CONTAINERS```\n* ```V_$CONTAINERS```\n* ```GV_$CON_SYS_TIME_MODEL```\n* ```GV_$CON_SYSSTAT```\n* ```GV_$DATABASE```\n* ```V_$DATABASE```\n* ```V_$DATABASE_BLOCK_CORRUPTION```\n* ```GV_$DATAFILE```\n* ```V_$DATAFILE```\n* ```GV_$DATAGUARD_STATUS```\n* ```GV_$INSTANCE```\n* ```GV_$INSTANCE_PING```\n* ```GV_$LIBRARYCACHE```\n* ```V_$LOG```\n* ```GV_$METRIC```\n* ```GV_$METRICGROUP```\n* ```GV_$PARAMETER```\n* ```GV_$PDBS```\n* ```GV_$PGASTAT```\n* ```V_$RECOVER_FILE```\n* ```V_$RECOVERY_FILE_DEST```\n* ```GV_$RESOURCE_LIMIT```\n* ```V_$RMAN_BACKUP_JOB_DETAILS```\n* ```GV_$SESSION```\n* ```V_$SESSION```\n* ```GV_$SGASTAT```\n* ```GV_$SQL```\n* ```V_$SQL```\n* ```GV_$SQLAREA```\n* ```V_$SQL_PLAN```\n* ```V_$SQL_PLAN_STATISTICS_ALL```\n* ```GV_$SYSSTAT```\n* ```GV_$SYSTEM_EVENT```\n* ```GV_$SYSTEM_WAIT_CLASS```\n* ```V_$TABLESPACE```\n* ```V_$TEMPFILE```\n\nAlternatively, the `SELECT_CATALOG_ROLE` can be assigned to the monitoring user. \n\nWhile the extension supports connecting directly to a Pluggable Database (PDB), our recommended approach to monitor a multitenant Oracle DB setup is to point to extension the CDB. PDB discovery and monitoring will occur automatically. In this case, explicit permissions to access data across all containers may be needed:\n\n`alter user <your_username> set container_data=all container = current;`\n\nThese privileges are already included in the user creation scripts.\n\nUsers of the Databases App who want to make use of Query Execution Plans, will also need to provide permission for the `V$SQL_PLAN`, `V$SESSION`, `V$SQL_PLAN_STATISTICS_ALL` and `V$SQL` views. These permissions are included in the user creation scripts. See the execution plan monitoring section below for more details.\n\nFinally, [activate log monitoring](https://www.dynatrace.com/support/help/shortlink/log-monitoring-hub-v2) to get full log insight. \n\nNote: \nWith the **TopN** feature set, the extension reports the most time consuming queries on the Oracle Instance entity page, in a card called \"Logs\". Enabling this feature may expose sensitive data in the reported queries."
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.sql-oracle@3.3.3",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.3.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.3_opBIG76.zip",
"release_notes": "#### ✨ New in this version:\n\n- Added default alert template for Data Guard gap monitoring.\n\n#### 🚀 Improved in this version:\n\n- The failed backup alert template now uses a 5/3/5 alerting strategy to better fit with the collected data.\n\n#### 🪲 Fixed in this version:\n\n- The query under the `asm (detailed)` feature set runs with frequency `heavy-query-interval`. This fixes an issue where setting the `heavy-query-timeout` variable to more than 60s would cause this query to break.\n - ⚠️ When updating an existing configuration to the new version, the ASM disk metrics will now be collected every 5 minutes by default. Alerts may need adjustment. This does not apply to ASM disk group metrics. ⚠️\n- To prevent hitting dimension tuple limits, the following dimensions were removed from the metric `com.dynatrace.extension.sql-oracle.dataguard.seqDifference`:\n - `primary.current.seq`\n - `primary.archived.seq`\n - `standby.applied.seq`\n- Fixed issue where the ASM disk group name would sometimes not show on the Dynatrace ASM disk group entity.\n",
"created": "2025-01-30T10:10:31.852307Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@3.2.1",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.2.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.2_gvAqf3w.zip",
"release_notes": "#### Fixed in this version:\n\n- Sorting SQL statements in the Databases app would retrieve duplicate results",
"created": "2024-12-13T13:17:20.028921Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@3.2.0",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.2.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.2_FUNeUCj.zip",
"release_notes": "#### ✨ New in this version:\n\n- Introduced two new monitoring configuration variables, `query-interval` and `heavy-query-interval` to control the extension's monitoring queries' execution frequency.\n- Added a new feature set `Tablespaces (detailed)` in order to better control the extension's resource consumption on the database. The current query for tablespaces monitoring has been moved to `Tablespaces (detailed)` and the the `Tablespaces` feature set now contains a simpler, less resource-intensive query to monitor tablespaces. This query drops the `com.dynatrace.extension.sql-oracle.tablespaces.allocatedSpace` metric and only monitors tablespaces with more than 50% used space.\n - ⚠️ When updating an existing configuration to the new version, the new `Tablespaces (detailed)` feature set will be disabled by default. To continue collecting tablespace metrics as before enable this new feature set in existing configurations and disable the `Tablespaces` feature set. ⚠️\n- Added link to OneAgent monitored host to the Oracle DB Instance screen. \n\n#### 🪲 Fixed in this version:\n\n- Fixed bug where tablespace and datafile metrics were not properly associated with the `sql-oracle_database` entity.\n\nℹ️ This version requires ActiveGate version 1.301.0 or higher.",
"created": "2024-12-10T13:14:54.775110Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@3.1.3",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.1.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.1_8YZJzoH.zip",
"release_notes": "#### 🪲 Fixed in this version:\n\n- Fixed execution plan monitoring fetching sometimes not working for RAC setups.\n- Fixed ASM entities not being created for certain non-RAC setups.\n- Fixed OneAgent HOST to Oracle DB Instance entity `SAME_AS` relationship not being established properly.\n\nℹ️ This version requires ActiveGate version 1.293.0 or higher.",
"created": "2024-10-25T07:13:43.962824Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@3.1.0",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.1.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.1_xv2B6vW.zip",
"release_notes": "#### ✨ New in this version:\n\n- Added inter-instance ping metrics and charts for RAC setups\n- Added charts for cluster interconnects and cluster wait events to the cluster screen.\n\n#### 🚀 Improved in this version:\n\n- Adjusted the DataGuard severe events chart. \n\nℹ️ This version requires ActiveGate version 1.293.0 or higher.",
"created": "2024-10-07T15:00:33.897041Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@3.0.15",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.0.15",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.0_ihxBjDl.zip",
"release_notes": "#### ✨ New in this version:\n\n- New feature set `asm (detailed)` introduced in order to better control license consumption for ASM disks. ASM disk metrics are moved to this new feature set, while ASM disk group metrics remain in the `asm` feature set.\n - ⚠️ When updating an existing configuration to the new version, the new `asm (detailed)` feature set will be disabled by default. To continue collecting ASM disk metrics enable this new feature set in existing configurations. ⚠️\n\n#### 🚀 Improved in this version:\n- Changed default dashboard to include ASM disk groups as well as ASM disks.\n\n#### 🪲 Fixed in this version:\n\n- Fixed Cluster instance name sometimes showing empty for RAC setups.\n- Fixed Dataguard metrics not being splittable by instance.\n- Fixed non-RAC Dataguard gaps metric chart always showing empty.\n\nℹ️ This version requires ActiveGate version 1.293.0 or higher.",
"created": "2024-08-28T20:51:29.556141Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@3.0.7",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.0.7",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.0_90riOYU.zip",
"release_notes": "#### ⚠️ Breaking changes:\n\n- New topology to accommodate for RAC setups:\n - The host entity, `sql:com_dynatrace_extension_sql-oracle_host`, was dropped and its data is now shown on the Oracle Instance screen.\n - The database-instance relationship was changed from `runsOn` to `calls`.\n - OneAgent detected hosts, `dt.entity.host`, now have a `sameAs` relationship with instances.\n- Query performance metrics are now collected at the database/container level instead of at the instance level.\n- Top query log attributes are no longer collected as a rate, but rather as the value reported in `SQLAREA`. This will also change the value of the `log.sql-oracle.top_n_queries.` metrics.\n\n#### ✨ New in this version:\n\n- Oracle RAC setups are now supported. By configuring the extension to connect to a SCAN listener, Dynatrace will auto-detect the instances and databases without needing to individually configure endpoints for each instance.\n - A cluster entity, `sql:com_dynatrace_extension_sql-oracle_cluster`, was added and will be active whenever a RAC setup is detected.\n- Query performance charts now show in the database screen as well as in the instance screen. In the case of RAC, metrics for all instances running that database will be shown. \n- On multitenant setups the `CDB$ROOT` is now detected as a container. Tablespaces and datafile charts for the `CDB$ROOT` are now show in the `CDB$ROOT`'s database screen as opposed to in the instance screen.\n\nℹ️ This version requires ActiveGate version 1.293.0 or higher.",
"created": "2024-08-01T12:55:55.946071Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.5.1",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.5.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.5_PYBICiQ.zip",
"release_notes": "#### ⚠️ This release requires ActiveGate version 1.293.0 or higher. Please check your version before upgrading.\n\n#### 🪲 Fixed in this version:\n\n- Fixed certain backup monitoring metrics not working for Oracle Database 12c.\n- Fixed Dataguard no logging query always showing empty results.\n- Changed unit from Count to Byte for some PDB metrics.",
"created": "2024-07-04T13:22:30.333896Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.5.0",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.5.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.5_0fvOJ4z.zip",
"release_notes": "#### ⚠️ This release requires ActiveGate version 1.293.0 or higher. Please check your version before upgrading.\n\n#### ✨ New in this version:\n\n- Execution plan analysis is now available for the long running queries, and can be accessed by navigating to Databases app > Instances > Statement performance. This feature is only available for Dynatrace SaaS customers.",
"created": "2024-06-28T13:46:04.350044Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.4.3",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.4.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.4_7cyZ3g8.zip",
"release_notes": "#### ✨ New in this version:\n\n- Blocked sessions and deadlock monitoring\n - Metrics for number of blocked sessions and deadlocks are part of the `sessions` feature set\n - Blocked session details are ingested as logs as part of the `Blocked sessions` feature set.\n Records can be filtered by `event.group == \"blocked_sessions\"` in the log query.\n- Datafile monitoring now includes number of corrupt blocks and datafile recovery status.\n- Alerts have been added around Data Guard for severe events, nologging activity, and archive\n destination status\n- Longest running query metrics are part of the `TopN` feature set\n - This helps visualize trends over time before using the Logs card to identify individual SQL\n statements\n- New configuration parameter - endpoint metadata\n - This parameter will populate the `endpoint_metadata` attribute of the Oracle Instance entity and\n can be used in entity selectors (to facilitate tagging, for example).\n\n#### 🚀 Improved in this version:\n\n- Out-of-the-box alerts have been adjusted to use current metrics\n- FRA and Tablespaces metric charts display values using the KiB/MiB/GiB (binary) unit scale. This\n is in-line with DBA expectations and Oracle Enterprise Manager. The raw values remain collected in\n Bytes.\n- Data guard chart cards only appear if data guard is enabled on the instance. This can be checked\n in the instance attributes.",
"created": "2024-06-03T16:33:03.215617Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.3.0",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.3.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.3_BtSrwJX.zip",
"release_notes": "#### 🚀 Improved in this version:\n- Dropped the `event` dimension from `com.dynatrace.extension.sql-oracle.wait.count` and `com.dynatrace.extension.sql-oracle.wait.time.count` to prevent inadvertently high DDU consumption. To replace the previous functionality a new feature set, `waitEvents (detailed)`, was added with metrics `com.dynatrace.extension.sql-oracle.wait.events.count` and `com.dynatrace.extension.sql-oracle.wait.events.time.count` which report total waits and total wait time for the top 20 wait events. When updating monitoring configs to the new version, make sure you enable the new feature set if you want to continue getting event level details.\n",
"created": "2024-05-20T12:19:23.679673Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.2.3",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.2.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.2_eDJIsy5.zip",
"release_notes": "#### 🪲 Fixed in this version:\n\n- ASM Disks tiles in the dashboard were using outdated metric names",
"created": "2024-04-11T21:02:54.723756Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.2.2",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.2.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.2_yPFOTLq.zip",
"release_notes": "#### 🪲 Fixed in this version:\n\n- ASM Disk Groups & ASM Disks queries would not run due to syntax\n",
"created": "2024-04-09T13:49:03.003463Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.2.1",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.2.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.2_zPFEIUs.zip",
"release_notes": "#### ✨ New in this version:\n- Fast Recovery Area (FRA) occupation tracking\n- Tablespaces are monitored per container (CDB & PDB)\n- ASM Disk Groups monitored as their own entity, related to ASM Disks\n- Status of data & temp files are tracked per container (CDB & PDB)\n- Data guard monitoring\n - Severe events\n - Gap between primary and standby applied sequences\n - Nologging activity counts\n - Archive destination error status\n\n#### 🚀 Improved in this version:\n- Tablespace utilization is calculated against maximum possible size including auto-extents\n- Tablespace utilization is reflected from `CDB_TABLESPACE_USAGE_METRICS` which takes into account the underlying filesystem (same as Oracle Enterprise Manager)\n- Sessions & Processes utilization reported as % of the configured limit",
"created": "2024-03-28T12:33:55.775768Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.1.5",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.1.5",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.1_RtJcpHu.zip",
"release_notes": "#### ✨ New in this version:\n\n- The extension data is now usable with the Database Overview App\n- Backup Jobs register additional details based on their backup sets\n- The time since the last backup of a given type is now recorded as a metric\n\n#### 🚀 Improved in this version:\n\n- Query timeout configuration parameter is more clearly described\n\n#### 🪲 Fixed in this version:\n\n- Tablespaces chart on the Instance page showed a long metric expression name\n- Not all backups were detected and listed on the Instance page",
"created": "2023-12-21T17:56:32.726629Z"
},
{
"name": "com.dynatrace.extension.sql-oracle@2.0.0",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "2.0.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-2.0_DmgHv9a.zip",
"release_notes": "#### ⚠️ Breaking changes:\n\nDue to the topology changes mentioned below, your environment may create new entities to replace the ones created by older versions of the extension.\n\nAny custom configuration relying on the following entity types will not work:\n\n- `sql:com_dynatrace_extension_sql-oracle_cdb`\n- `sql:com_dynatrace_extension_sql-oracle_pdb` (replace with `sql:com_dynatrace_extension_sql-oracle_database`)\n- `sql:com_dynatrace_extension_sql-oracle_service`\n\n#### ✨ New in this version:\n\n- Additional attributes reported for Oracle Instances\n- When the extension is configured to connect to the Container (CDB), all Databases (PDBs) are automatically monitored\n- A new alert has been added for backup job failures\n\n#### 🚀 Improved in this version:\n\n- The topology has been simplified:\n - Oracle Instance now represents either a standalone instance or container\n - IDs of these entities are more accurately calculated\n - Oracle Database now represents either a standalone or pluggable database\n - The Oracle CDB, Oracle PDB, and Oracle Service entities have been removed\n- Database backups are visible on the Instance details page\n- All entity lists support filtering\n- The Oracle Server details page displays data about Oracle processes if the host has a OneAgent deployed\n- All metrics have the tag \"Oracle\" which can be used in the Metrics menu\n\n#### 🪲 Fixed in this version:\n\n- Backups would not be detected if the process crashed before the first sub-job could complete\n- Backups would be aggregated if performed during the same session",
"created": "2023-12-12T08:52:35.863432Z"
}
],
"related_technologies": [],
"latest_downloads": [
{
"name": "com.dynatrace.extension.sql-oracle@3.3.3",
"fqn": "com.dynatrace.extension.sql-oracle",
"version": "3.3.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-oracle/com.dynatrace.extension.sql-oracle-3.3_opBIG76.zip",
"release_notes": "#### ✨ New in this version:\n\n- Added default alert template for Data Guard gap monitoring.\n\n#### 🚀 Improved in this version:\n\n- The failed backup alert template now uses a 5/3/5 alerting strategy to better fit with the collected data.\n\n#### 🪲 Fixed in this version:\n\n- The query under the `asm (detailed)` feature set runs with frequency `heavy-query-interval`. This fixes an issue where setting the `heavy-query-timeout` variable to more than 60s would cause this query to break.\n - ⚠️ When updating an existing configuration to the new version, the ASM disk metrics will now be collected every 5 minutes by default. Alerts may need adjustment. This does not apply to ASM disk group metrics. ⚠️\n- To prevent hitting dimension tuple limits, the following dimensions were removed from the metric `com.dynatrace.extension.sql-oracle.dataguard.seqDifference`:\n - `primary.current.seq`\n - `primary.archived.seq`\n - `standby.applied.seq`\n- Fixed issue where the ASM disk group name would sometimes not show on the Dynatrace ASM disk group entity.\n",
"created": "2025-01-30T10:10:31.852307Z"
}
]
},
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"source": "Jira enables you to create Jira tickets and manage the ticket lifecycle through actions like these:\n\n###### Define various notification triggers\n* Use the power of DQL and leverage events to create Jira tickets for any problem, security incident, or attack with workflows.\n* Use Business events as a trigger to create Jira tickets on extended events like a failed release validation, certain logs messages, or external system events.\n\n###### Flexible content composing\n* Enrich ticket information with tags, hierarchy details, or any arbitrary entity information.\n* Leverage expression builder for simple message composition.\n* Leverage ownership information to dynamically assign a ticket to the correct user, user group, or project.\n* Combine various steps to post a newly created ticket to a Slack or MS Teams channel.\n\n###### Manage the incident lifecycle\n* Comment on tickets within remediation workflows to reflect the current status.\n* Reassign tickets for further escalation.\n* Resolve tickets when a remediation action is successful, or escalate it, if needed.\n* Search for available tickets"
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"title": "Use cases",
"source": "* Connect to Jira Server with EdgeConnect or to a Jira Cloud instance.\n* Create a Jira ticket based on events, logs, or metrics.\n* Populate the project, issue type, priority, assignee, labels, components, summary, and description. \n* Add custom fields to make sure required information is always added\n* Change the assignee of a ticket.\n* Comment on and update a ticket.\n* Transition the status or resolve a ticket.\n* Retrieve additional information by executing a JQL search."
},
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{
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"title": "Get started",
"source": "Install Jira and follow the instructions in Dynatrace Documentation. \n\nBefore you start, make sure that Jira is installed in your environment, outbound connections are configured, and the connection to Jira is authorized."
},
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"modified": "2025-02-18T08:36:03.919647Z",
"created": "2023-04-20T10:09:23.484402Z",
"seo_title": "Jira monitoring & observability",
"seo_description": "Create, query, comment, transition, and resolve Jira tickets within workflows. Start your free trial today!",
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"about": "Jira enables you to create Jira tickets and manage the ticket lifecycle through actions like these:\n\n###### Define various notification triggers\n* Use the power of DQL and leverage events to create Jira tickets for any problem, security incident, or attack with workflows.\n* Use Business events as a trigger to create Jira tickets on extended events like a failed release validation, certain logs messages, or external system events.\n\n###### Flexible content composing\n* Enrich ticket information with tags, hierarchy details, or any arbitrary entity information.\n* Leverage expression builder for simple message composition.\n* Leverage ownership information to dynamically assign a ticket to the correct user, user group, or project.\n* Combine various steps to post a newly created ticket to a Slack or MS Teams channel.\n\n###### Manage the incident lifecycle\n* Comment on tickets within remediation workflows to reflect the current status.\n* Reassign tickets for further escalation.\n* Resolve tickets when a remediation action is successful, or escalate it, if needed.\n* Search for available tickets",
"use_cases": "* Connect to Jira Server with EdgeConnect or to a Jira Cloud instance.\n* Create a Jira ticket based on events, logs, or metrics.\n* Populate the project, issue type, priority, assignee, labels, components, summary, and description. \n* Add custom fields to make sure required information is always added\n* Change the assignee of a ticket.\n* Comment on and update a ticket.\n* Transition the status or resolve a ticket.\n* Retrieve additional information by executing a JQL search.",
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"get_started": "Install Jira and follow the instructions in Dynatrace Documentation. \n\nBefore you start, make sure that Jira is installed in your environment, outbound connections are configured, and the connection to Jira is authorized."
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"release_notes": "## 4.8.1\n- Changed tooltip link in edit issue action\n- Renamed app to \"Jira\" (former \"Jira for Workflows\")\n- Changed hint text in jql search action\n\n## 4.8.0\n- Add a new action that allows to edit fields on a given issue\n- Add sample result for the edit-issue action\n- Group input fields in actions and intents by headers\n- Added log statements to display action progress\n\n## 4.7.1\n- Add missing surface around connection picker\n- Show confirmation dialog before closing an intent while having modified fields\n- Adjust create issue intent to align with UX guidelines\n- Changed error handling in get issue types action\n- Adjust the size of the bin icon for custom fields\n\n## 4.7.0\n- Added query parameters when creating or editing a connection\n- Grouped related input fields visually\n- Updated dependencies\n\n## 4.6.0\n- Made Jira for Worklows headless\n- Replaced \"Issue key\" Multiline Input Field with Singleline Input Field\n- Updated hint text for Jira JQL-search\n- Marked required input-fields as required.\n- Adjust constraint message to show correct constraints\n- Adjusted the format of some labels",
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"release_notes": "### 4.5.1\n\n- Changed label of link type picker from inward to outward\n- Made comment optional in \"link issue\" action\n\n### 4.5.0\n\n- Added confirmation modal for closing unsaved connection settings\n- Added \"Link Issue\" Action to link two Jira Issues\n- Updated dependency and resolved deprecation warnings",
"created": "2024-11-11T13:43:46.545141Z"
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{
"name": "dynatrace.jira@4.4.0",
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"release_notes": "### 4.4.0\n\n- Aligned footer and use case text in connection overview\n- Improved user interface when connection had been deleted\n- Hint text improvements",
"created": "2024-10-09T13:08:29.956277Z"
},
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"artifact": null,
"release_notes": "### 4.3.1\n\n- Fixed missing scroll bar in dropdowns for Chrome versions 129.0.6668.xx or higher\n- Improved user interface for all actions when connection is missing\n\n### 4.3.0\n\n- Introduce a new, streamlined connection management experience with a modernized interface. This update makes adding and editing connections directly within workflows easier and provides connection control and convenience in one place.\n- Transition issue action - Fixed aborting fetch of transitions after entering an issue key\n- Create issue action - Query labels by search term instead of fetching all labels\n- Create Issue action - Replaced hardcoded environment url with expression",
"created": "2024-09-30T07:16:38.769629Z"
},
{
"name": "dynatrace.jira@4.0.0",
"fqn": "dynatrace.jira",
"version": "4.0.0",
"artifact": null,
"release_notes": "### 4.0.0\n\n- Changed Connection list to an unordered list.\n- Updated dependencies.",
"created": "2024-07-22T07:41:57.986808Z"
},
{
"name": "dynatrace.jira@3.1.5",
"fqn": "dynatrace.jira",
"version": "3.1.5",
"artifact": null,
"release_notes": "### 3.1.5\n\n- **Dependencies** - Updated dependencies.\n\n### 3.1.4\n\n- **Dependencies** - Update dependencies.\n\n### 3.1.3\n\n- **Improvement: Connections** - Unretrievable Connections are now logged to the user.\n\n### 3.1.2\n\n- **Bugfix: Create Issue Action** - Fix response validation for priorities.\n- **Dependencies** - Update dependencies.\n- **Bugfix: All actions** - Fix possible chinese error messages in case when an invalid authencation token is configured.\n\n### 3.1.1\n\n- **Bugfix: Transition Issue Action** - Fix changing connection when typing in an issue key after changing the connection.\n\n### 3.1.0\n\n- **Improvement: Usability** - Infer deployment type based on authentication type.\n- **Improvement: Create issue** - Add expression support for label picker.\n- **Bugfix: Create issue** - Reduce number of network requests needed when fetching labels.",
"created": "2024-05-29T06:25:21.927189Z"
},
{
"name": "dynatrace.jira@3.1.1",
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"artifact": null,
"release_notes": "### 3.1.1\n\n- **Bugfix: Transition Issue Action** - Fix changing connection when typing in an issue key after changing the connection.\n\n### 3.1.0\n\n- **Improvement: Usability** - Infer deployment type based on authentication type.\n- **Improvement: Create issue** - Add expression support for label picker.\n- **Bugfix: Create issue** - Reduce number of network requests needed when fetching labels.",
"created": "2024-04-04T17:39:54.821701Z"
},
{
"name": "dynatrace.jira@3.0.1",
"fqn": "dynatrace.jira",
"version": "3.0.1",
"artifact": null,
"release_notes": "### 3.0.1\n\n- **Dependencies** - Update dependencies.\n\n### 3.0.0\n\n- **Breaking Change: Intent Response Properties** - Adapted the intent response properties to prefixed keys.\n- **Bugfix: Reporter and Assignee Fields** - Fixed problem that filtering then selecting a user would not select the user.",
"created": "2024-02-21T07:42:50.047729Z"
},
{
"name": "dynatrace.jira@3.0.0",
"fqn": "dynatrace.jira",
"version": "3.0.0",
"artifact": null,
"release_notes": "### 3.0.0\n\n- **Breaking Change: Intent Response Properties** - Adapted the intent response properties to prefixed keys.\n- **Bugfix: Reporter and Assignee Fields** - Fixed problem that filtering then selecting a user would not select the user.\n\n### 2.0.0\n- **Improvement: Usability** - Adapt create issue intent to improve the user experience.\n- **Breaking Change: Intent Payload** - Adapted the intent payload to prefixed keys.\n- **Dependencies** - Update dependencies.\n- **Improvement: Transition issue** - Improve error handling of transition issue action.\n\n### 1.8.0\n- **Action Dev 2.0** - Migrate to Action Dev 2.0.\n- **Improvement: Styling** - Adapt create issue intent styling.\n\n### 1.7.3\n- **Bugfix: All Actions** - Support for AbortController to abort API calls upon clicking on another Automation Action.",
"created": "2024-01-15T13:13:03.946669Z"
},
{
"name": "dynatrace.jira@1.7.1",
"fqn": "dynatrace.jira",
"version": "1.7.1",
"artifact": null,
"release_notes": "### 1.7.1\n\n- **Dependencies** - Update dependencies.\n\n### 1.7.0\n\n- **Improvement: Transition issue** - Simplify form by removing project and issue type picker.\n- **Improvement** - Allow assignee and reporter expressions to evaluate to names.\n- **Bugfix: Create issue** - Fixed a bug that prevented suffix to be applied to description even after editing the workflow.\n- **Connection settings** - Allow connection name to change without the need to re-enter token/password.",
"created": "2023-11-28T13:09:00.664299Z"
},
{
"name": "dynatrace.jira@1.6.1",
"fqn": "dynatrace.jira",
"version": "1.6.1",
"artifact": null,
"release_notes": "### 1.6.1\n\n- **Dependencies** - Update dependencies.\n\n### 1.6.0\n\n- **Description suffix** - Add suffix to description of issues created via workflow.\n- **Improvement: Usability** - Provide better log messages and hints for JQL search action.\n\n### 1.5.4\n\n- **Bugfix: Transition issue** - Fixed a bug that prevented issues to be transitioned if the transition required a comment.\n- **Bugfix: Error handling** - Improve error handling of priority picker.\n- **Bugfix: Error handling** - Improve error handling of user picker.\n\n### 1.5.3\n\n- **Bugfix: Error handling** - Improved error handling when workflow action input is empty.",
"created": "2023-10-05T07:51:47.258857Z"
},
{
"name": "dynatrace.jira@1.5.2",
"fqn": "dynatrace.jira",
"version": "1.5.2",
"artifact": null,
"release_notes": "### 1.5.2\n\n#### Patch Changes\n\n- 4eeb521: Fix action input validation issue where undefined was considered an invalid value for fieldSetters in the Jira Create Issue action.\n\n### 1.5.1\n\n#### Patch Changes\n\n- ef2cae5: Improve jira-get-users error handling.\n- bdc77ac: Improve jira-get-projects error handling.\n- a60bc42: Improve deployment type fetch error handling.\n\n### 1.5.0\n\n#### Minor Changes\n\n- 55d19e4: Add support for expressions in priority picker.\n- cb6928a: Add support for custom fields in create issue action\n\n#### Patch Changes\n\n- b3b3a81: Reduce log spam when fetching users\n- 307a731: Unify issue key label",
"created": "2023-08-10T06:02:34.594259Z"
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"name": "dynatrace.jira@1.5.1",
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"artifact": null,
"release_notes": "### 1.5.1\n\n#### Patch Changes\n\n- ef2cae5: Improve jira-get-users error handling.\n- bdc77ac: Improve jira-get-projects error handling.\n- a60bc42: Improve deployment type fetch error handling.\n\n### 1.5.0\n\n#### Minor Changes\n\n- 55d19e4: Add support for expressions in priority picker.\n- cb6928a: Add support for custom fields in create issue action\n\n#### Patch Changes\n\n- b3b3a81: Reduce log spam when fetching users\n- 307a731: Unify issue key label",
"created": "2023-08-09T13:38:13.720112Z"
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"name": "dynatrace.jira@1.5.0",
"fqn": "dynatrace.jira",
"version": "1.5.0",
"artifact": null,
"release_notes": "### 1.5.0\n\n#### Minor Changes\n\n- 55d19e4: Add support for expressions in priority picker.\n- cb6928a: Add support for custom fields in create issue action\n\n#### Patch Changes\n\n- b3b3a81: Reduce log spam when fetching users\n- 307a731: Unify issue key label",
"created": "2023-07-11T14:20:22.188951Z"
},
{
"name": "dynatrace.jira@1.4.2",
"fqn": "dynatrace.jira",
"version": "1.4.2",
"artifact": null,
"release_notes": "### 1.4.2\n\n#### Patch Changes\n\n- 6af8598: Fix handling of paginated Jira REST API endpoints\n- 0d3cdbf: Unify labels for issue key\n\n### 1.4.1\n\n#### Patch Changes\n\n- 2c79de6: Ensure app ID and app name never exceed length limits.\n- 716b7de: Remove Name property from components action payload\n- 4038aa4: Remove displayName property from assignee and reporter intent payload\n- e98f974: Fix user picker to not perform rest request without selecting a connection first\n\n### 1.4.0\n\n#### Minor Changes\n\n- 3f81730: Add support for JSON in field values when transitioning issues.\n\n#### Patch Changes\n\n- 3bf6fef: Remove displayName property from assignee and reporter action payload\n- c64b7c6: Add support for consumer app state propagation in jira-create-issue intent payload.",
"created": "2023-06-26T11:21:48.002313Z"
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"fqn": "dynatrace.jira",
"version": "1.4.0",
"artifact": null,
"release_notes": "### 1.4.0\n\n#### Minor Changes\n\n- 3f81730: Add support for JSON in field values when transitioning issues.\n\n#### Patch Changes\n\n- 3bf6fef: Remove displayName property from assignee and reporter action payload\n- c64b7c6: Add support for consumer app state propagation in jira-create-issue intent payload.",
"created": "2023-06-15T08:56:40.628343Z"
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"name": "dynatrace.jira@1.1.1",
"fqn": "dynatrace.jira",
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"release_notes": "### 1.1.1\n\n#### Patch Changes\n\n- b4324d4: Fix loading inconsistency for issue type and priority picker\n- 22ff4ff: Fix user picker behavior when filtering items\n- 86bbe34: Fix loading inconsistency for assignee and reporter picker when switching between Jira cloud and Jira server connections\n- 0bf1602: Optimize connection object\n\n### 1.1.0\n\n#### Minor Changes\n\n- a25ca99: Support NJinn expressions for Components Picker\n- 7d7338c: Enable expression support in the project picker\n\n#### Patch Changes\n\n- a273ffe: Require secrets to be re-entered upon configuration change\n- 829a54e: Fix state inconsistency in labels input field",
"created": "2023-05-08T14:22:10.103878Z"
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"created": "2023-04-20T10:09:23.676036Z"
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"created": "2025-02-11T13:51:48.959785Z"
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"title": "Dell iDRAC",
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"support_link": "",
"support_information": {
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},
"sales_link": "",
"pricing": "",
"repository_href": "",
"is_partner": false,
"marketo_form": null,
"release_latest_version": "1.1.7",
"release_latest_validation_result": {
"name": "com.dynatrace.extension.dell-idrac",
"author": {
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"variables": [],
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{
"count": 46,
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},
{
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"assetType": "list-screen-layout"
},
{
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{
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{
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{
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{
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{
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{
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{
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],
"dataSources": [
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],
"featureSets": [
"Secure boot",
"Drive",
"Memory",
"Sensor",
"Network adapter function",
"Volume",
"Storage controller",
"Virtual media",
"PCIe slot",
"PCIe function",
"Ethernet interface",
"PCIe device",
"Environment metrics",
"Power subsystem",
"Fan",
"Thermal subsystem",
"Heater",
"Network adapter",
"Chassis",
"Battery",
"Simple storage",
"Power supply",
"Port",
"Computer system",
"Storage",
"Processor",
"Network interface",
"Assembly"
],
"extensionName": "com.dynatrace.extension.dell-idrac",
"minEECVersion": "1.275.0",
"featureSetsDetails": {
"Fan": {
"metrics": [
{
"key": "dell.idrac.system.chassis.thermalSubsystem.fan.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the fan. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Fan state"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.fan.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the fan. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Fan health"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.fan.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the fan. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Fan health rollup"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.fan.SpeedPercent.SpeedRPM",
"metadata": {
"unit": "Count",
"description": null,
"displayName": "Fan speed"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.fan.Oem.Dell.FanPWM",
"metadata": {
"unit": "Count",
"description": null,
"displayName": "Fan PWM"
}
}
]
},
"Port": {
"metrics": [
{
"key": "dell.idrac.system.chassis.networkAdapter.port.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the port. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Port state"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.port.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the port. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Port health"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.port.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the port. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Port health rollup"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.port.CurrentLinkSpeedMbps",
"metadata": {
"unit": "MegaBitPerSecond",
"description": "The current speed of the port.",
"displayName": "Port speed"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.port.LinkStatus",
"metadata": {
"unit": "Count",
"description": "The status of the link between this port and its link partner.",
"displayName": "Port link status"
}
}
]
},
"Drive": {
"metrics": [
{
"key": "dell.idrac.system.storage.drive.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the drive. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Drive state"
}
},
{
"key": "dell.idrac.system.storage.drive.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the drive. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Drive health"
}
},
{
"key": "dell.idrac.system.storage.drive.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the drive. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Drive health rollup"
}
},
{
"key": "dell.idrac.system.storage.drive.StatusIndicator",
"metadata": {
"unit": "Count",
"description": "The state of the status indicator, which communicates status information about this drive.",
"displayName": "Drive status indicator"
}
},
{
"key": "dell.idrac.system.storage.drive.BlockSizeBytes",
"metadata": {
"unit": "Byte",
"description": "The size, in bytes, of the smallest addressable unit, or block.",
"displayName": "Drive block size"
}
},
{
"key": "dell.idrac.system.storage.drive.CapableSpeedGbs",
"metadata": {
"unit": "GigaBitPerSecond",
"description": "The speed, in gigabit per second (Gbit/s), at which this drive can communicate to a storage controller in ideal conditions.",
"displayName": "Drive capable speed"
}
},
{
"key": "dell.idrac.system.storage.drive.CapacityBytes",
"metadata": {
"unit": "Byte",
"description": "The size, in bytes, of this drive.",
"displayName": "Drive size"
}
},
{
"key": "dell.idrac.system.storage.drive.EncryptionStatus",
"metadata": {
"unit": "Byte",
"description": "The status of the encryption of this drive.",
"displayName": "Encryption status"
}
},
{
"key": "dell.idrac.system.storage.drive.NegotiatedSpeedGbs",
"metadata": {
"unit": "GigaBitPerSecond",
"description": "The speed, in gigabit per second (Gbit/s), at which this drive currently communicates to the storage controller.",
"displayName": "Negotation speed"
}
},
{
"key": "dell.idrac.system.storage.drive.PredictedMediaLifeLeftPercent",
"metadata": {
"unit": "Percent",
"description": "The percentage of reads and writes that are predicted to be available for the media.",
"displayName": "Predicted life percent"
}
},
{
"key": "dell.idrac.system.storage.drive.RotationSpeedRPM",
"metadata": {
"unit": "PerMinute",
"description": "The rotation speed of this drive, in revolutions per minute (RPM).",
"displayName": "Rotation speed"
}
}
]
},
"Heater": {
"metrics": [
{
"key": "dell.idrac.system.chassis.thermalSubsystem.heater.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the heater. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Heater state"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.heater.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the heater. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Heater health"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.heater.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the heater. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Heater health rollup"
}
}
]
},
"Memory": {
"metrics": [
{
"key": "dell.idrac.system.memory.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the memory. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Memory state"
}
},
{
"key": "dell.idrac.system.memory.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the memory. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Memory health"
}
},
{
"key": "dell.idrac.system.memory.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this memory. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Memory health rollup"
}
},
{
"key": "dell.idrac.system.memory.BusWidthBits",
"metadata": {
"unit": "Bit",
"description": "The bus width, in bits.",
"displayName": "Bus width"
}
},
{
"key": "dell.idrac.system.memory.CacheSizeMiB",
"metadata": {
"unit": "MebiByte",
"description": "Total size of the cache portion memory in MiB.",
"displayName": "Cache size"
}
},
{
"key": "dell.idrac.system.memory.CapacityMiB",
"metadata": {
"unit": "MebiByte",
"description": "Memory capacity in mebibytes (MiB).",
"displayName": "Memory capacity"
}
},
{
"key": "dell.idrac.system.memory.DataWidthBits",
"metadata": {
"unit": "Bit",
"description": "Data width in bits.",
"displayName": "Data width"
}
},
{
"key": "dell.idrac.system.memory.Enabled",
"metadata": {
"unit": "Count",
"description": "An indication of whether this memory is enabled.",
"displayName": "Memory enabled"
}
},
{
"key": "dell.idrac.system.memory.LogicalSizeMiB",
"metadata": {
"unit": "MebiByte",
"description": "Total size of the logical memory in MiB.",
"displayName": "Logical size"
}
},
{
"key": "dell.idrac.system.memory.NonVolatileSizeMiB",
"metadata": {
"unit": "MebiByte",
"description": "Total size of the non-volatile portion memory in MiB.",
"displayName": "Non volatile memory"
}
},
{
"key": "dell.idrac.system.memory.VolatileSizeMiB",
"metadata": {
"unit": "MebiByte",
"description": "Total size of the non-volatile portion memory in MiB.",
"displayName": "Volatile memory"
}
},
{
"key": "dell.idrac.system.memory.RankCount",
"metadata": {
"unit": "Count",
"description": "Number of ranks available in the memory device.",
"displayName": "Rank count"
}
},
{
"key": "dell.idrac.system.memory.OperatingSpeedMhz",
"metadata": {
"unit": "Count",
"description": "Operating speed of memory in MHz or MT/s as appropriate.",
"displayName": "Operating speed"
}
},
{
"key": "dell.idrac.system.memory.BandwidthPercent",
"metadata": {
"unit": "Percent",
"description": "The memory bandwidth utilization as a percentage.",
"displayName": "Bandwidth usage"
}
}
]
},
"Sensor": {
"metrics": [
{
"key": "dell.idrac.system.chassis.sensor.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the sensor. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Sensor state"
}
},
{
"key": "dell.idrac.system.chassis.sensor.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the sensor. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Sensor health"
}
},
{
"key": "dell.idrac.system.chassis.sensor.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the sensor. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Sensor health rollup"
}
},
{
"key": "dell.idrac.system.chassis.sensor.Reading",
"metadata": {
"unit": "Count",
"description": "The sensor value.",
"displayName": "Sensor reading"
}
},
{
"key": "dell.idrac.system.chassis.sensor.SpeedRPM",
"metadata": {
"unit": "Count",
"description": "The rotational speed",
"displayName": "Sensor speed"
}
},
{
"key": "dell.idrac.system.chassis.sensor.Oem.Dell.CurrentState",
"metadata": {
"unit": "Count",
"description": "The current state indicated by the Sensor.",
"displayName": "Sensor current state"
}
}
]
},
"Volume": {
"metrics": [
{
"key": "dell.idrac.system.storage.volume.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the volume. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Volume state"
}
},
{
"key": "dell.idrac.system.storage.volume.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the volume. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Volume health"
}
},
{
"key": "dell.idrac.system.storage.volume.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this volume. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Volume health rollup"
}
},
{
"key": "dell.idrac.system.storage.volume.BlockSizeBytes",
"metadata": {
"unit": "Byte",
"description": "The size of the smallest addressable unit (Block) of this volume in bytes.",
"displayName": "Volume block size"
}
},
{
"key": "dell.idrac.system.storage.volume.CapacityBytes",
"metadata": {
"unit": "Byte",
"description": "The size in bytes of this Volume.",
"displayName": "Volume capacity"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Data.AllocatedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes currently allocated by the storage system in this data store for this data type.",
"displayName": "Allocated bytes (Data)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Data.ConsumedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes consumed in this data store for this data type.",
"displayName": "Consumed bytes (Data)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Data.GuaranteedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes the storage system guarantees can be allocated in this data store for this data type.",
"displayName": "Guaranteed bytes (Data)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Data.ProvisionedBytes",
"metadata": {
"unit": "Byte",
"description": "The maximum number of bytes that can be allocated in this data store for this data type.",
"displayName": "Provisioned bytes (Data)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Metadata.AllocatedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes currently allocated by the storage system in this data store for this data type.",
"displayName": "Allocated bytes (MetaData)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Metadata.ConsumedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes consumed in this data store for this data type.",
"displayName": "Consumed bytes (MetaData)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Metadata.GuaranteedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes the storage system guarantees can be allocated in this data store for this data type.",
"displayName": "Guaranteed bytes (MetaData)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Metadata.ProvisionedBytes",
"metadata": {
"unit": "Byte",
"description": "The maximum number of bytes that can be allocated in this data store for this data type.",
"displayName": "Provisioned bytes (MetaData)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Snapshot.AllocatedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes currently allocated by the storage system in this data store for this data type.",
"displayName": "Allocated bytes (Snapshot)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Snapshot.ConsumedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes consumed in this data store for this data type.",
"displayName": "Consumed bytes (Snapshot)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Snapshot.GuaranteedBytes",
"metadata": {
"unit": "Byte",
"description": "The number of bytes the storage system guarantees can be allocated in this data store for this data type.",
"displayName": "Guaranteed bytes (Snapshot)"
}
},
{
"key": "dell.idrac.system.storage.volume.Capacity.Snapshot.ProvisionedBytes",
"metadata": {
"unit": "Byte",
"description": "The maximum number of bytes that can be allocated in this data store for this data type.",
"displayName": "Provisioned bytes (Snapshot)"
}
},
{
"key": "dell.idrac.system.storage.volume.IOStatistics.NonIORequests",
"metadata": {
"unit": "Count",
"description": "Count of non IO requests.",
"displayName": "Non-IO requests"
}
},
{
"key": "dell.idrac.system.storage.volume.IOStatistics.ReadHitIORequests",
"metadata": {
"unit": "Count",
"description": "Count of read IO requests satisfied from memory.",
"displayName": "Read hit IO requests"
}
},
{
"key": "dell.idrac.system.storage.volume.IOStatistics.ReadIOKiBytes",
"metadata": {
"unit": "KibiByte",
"description": "Number of kibibytes read.",
"displayName": "Read IO bytes"
}
},
{
"key": "dell.idrac.system.storage.volume.IOStatistics.ReadIORequests",
"metadata": {
"unit": "Count",
"description": "Count of read IO requests.",
"displayName": "Read IO requests"
}
},
{
"key": "dell.idrac.system.storage.volume.IOStatistics.WriteHitIORequests",
"metadata": {
"unit": "Count",
"description": "Count of write IO requests coalesced into memory.",
"displayName": "Write hit IO requests"
}
},
{
"key": "dell.idrac.system.storage.volume.IOStatistics.WriteIOKiBytes",
"metadata": {
"unit": "KibiByte",
"description": "Number of kibibytes written.",
"displayName": "Write IO bytes"
}
},
{
"key": "dell.idrac.system.storage.volume.IOStatistics.WriteIORequests",
"metadata": {
"unit": "Count",
"description": "Count of write IO requests.",
"displayName": "Write IO requests"
}
}
]
},
"Battery": {
"metrics": [
{
"key": "dell.idrac.system.chassis.powerSubsystem.battery.ChargeState",
"metadata": {
"unit": "Count",
"description": "The charge state of this battery.",
"displayName": "Charge state"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.battery.ChargePercent.Reading",
"metadata": {
"unit": "Percent",
"description": "The amount of charge available (percent) in this battery.",
"displayName": "Charge percent"
}
}
]
},
"Chassis": {
"metrics": [
{
"key": "dell.idrac.system.chassis.PowerState",
"metadata": {
"unit": "Count",
"description": "The current power state of the system.chassis. Equals 1 if On, 0 otherwise. You can check the actual state on the PowerState dimension.",
"displayName": "Power state"
}
},
{
"key": "dell.idrac.system.chassis.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the system.chassis. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Chassis state"
}
},
{
"key": "dell.idrac.system.chassis.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the system.chassis. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Chassis health"
}
},
{
"key": "dell.idrac.system.chassis.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this system.chassis. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Chassis health rollup"
}
}
]
},
"Storage": {
"metrics": [
{
"key": "dell.idrac.system.storage.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the storage. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Storage state"
}
},
{
"key": "dell.idrac.system.storage.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the storage. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Storage health"
}
},
{
"key": "dell.idrac.system.storage.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this storage. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Storage health rollup"
}
}
]
},
"Assembly": {
"metrics": [
{
"key": "dell.idrac.system.chassis.assembly.MemberId",
"metadata": {
"unit": "Count",
"description": "The identifier for the member within the collection.",
"displayName": "Assembly member ID"
}
}
]
},
"PCIe slot": {
"metrics": [
{
"key": "dell.idrac.system.chassis.pcieslot.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the PCIe slot. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "PCIe slot state"
}
},
{
"key": "dell.idrac.system.chassis.pcieslot.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the PCIe slot. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "PCIe slot health"
}
},
{
"key": "dell.idrac.system.chassis.pcieslot.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the PCIe slot. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "PCIe slot health rollup"
}
},
{
"key": "dell.idrac.system.chassis.pcieslot.Lanes",
"metadata": {
"unit": "Count",
"description": "The number of PCIe lanes supported by the slot.",
"displayName": "PCIe slot lanes"
}
}
]
},
"Processor": {
"metrics": [
{
"key": "dell.idrac.system.processor.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the processor. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Processor state"
}
},
{
"key": "dell.idrac.system.processor.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the processor. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Processor health"
}
},
{
"key": "dell.idrac.system.processor.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this processor. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Processor health rollup"
}
},
{
"key": "dell.idrac.system.processor.MemorySummary.TotalCacheSizeMiB",
"metadata": {
"unit": "MebiByte",
"description": "Total size of cache memory of this processor.",
"displayName": "Cache size"
}
},
{
"key": "dell.idrac.system.processor.MemorySummary.TotalMemorySizeMiB",
"metadata": {
"unit": "MebiByte",
"description": "Total size of non-cache, volatile or non-volatile memory attached to this processor. Examples include DRAMs and NV-DIMMs that are not configured as block storage.",
"displayName": "Memory size"
}
},
{
"key": "dell.idrac.system.processor.MaxSpeedMHz",
"metadata": {
"unit": "Count",
"description": "The maximum clock speed of the processor.",
"displayName": "Processor speed"
}
},
{
"key": "dell.idrac.system.processor.OperatingSpeedMHz",
"metadata": {
"unit": "Count",
"description": "Operating speed of the processor in MHz.",
"displayName": "Operating speed"
}
},
{
"key": "dell.idrac.system.processor.TurboState",
"metadata": {
"unit": "Count",
"description": "The state of the turbo for this processor.",
"displayName": "Turbo state"
}
}
]
},
"PCIe device": {
"metrics": [
{
"key": "dell.idrac.system.chassis.pciedevice.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the PCIe device. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "PCIe device state"
}
},
{
"key": "dell.idrac.system.chassis.pciedevice.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the PCIe device. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "PCIe device health"
}
},
{
"key": "dell.idrac.system.chassis.pciedevice.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the PCIe device. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "PCIe device health rollup"
}
}
]
},
"Secure boot": {
"metrics": [
{
"key": "dell.idrac.system.SecureBootCurrentBoot",
"metadata": {
"unit": "Count",
"description": "The UEFI Secure Boot state during the current boot cycle.",
"displayName": "Current boot"
}
},
{
"key": "dell.idrac.system.SecureBootMode",
"metadata": {
"unit": "Count",
"description": "The current UEFI Secure Boot Mode.",
"displayName": "Secure boot mode"
}
},
{
"key": "dell.idrac.system.SecureBootEnable",
"metadata": {
"unit": "Count",
"description": "An indication of whether UEFI Secure Boot is enabled.",
"displayName": "Secure boot enabled"
}
}
]
},
"Power supply": {
"metrics": [
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the power supply. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Power supply state"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the power supply. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Power supply health"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the power supply. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Power supply health rollup"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.PowerCapacityWatts",
"metadata": {
"unit": "Watt",
"description": "The maximum capacity of this power supply.",
"displayName": "Power supply capacity"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.FrequencyHz.Reading",
"metadata": {
"unit": "Hertz",
"description": null,
"displayName": "Power supply frequency"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.InputCurrentAmps.Reading",
"metadata": {
"unit": "Ampere",
"description": null,
"displayName": "Power supply input amps"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.InputVoltage.Reading",
"metadata": {
"unit": "Volt",
"description": null,
"displayName": "Power supply input voltage"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.supply.OutputPowerWatts.Reading",
"metadata": {
"unit": "Watt",
"description": null,
"displayName": "Power supply output"
}
}
]
},
"PCIe function": {
"metrics": [
{
"key": "dell.idrac.system.chassis.pciedevice.pciefunction.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the PCIe device function. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "PCIe device function state"
}
},
{
"key": "dell.idrac.system.chassis.pciedevice.pciefunction.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the PCIe device function. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "PCIe device function health"
}
},
{
"key": "dell.idrac.system.chassis.pciedevice.pciefunction.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the PCIe device function. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "PCIe device function health rollup"
}
}
]
},
"Virtual media": {
"metrics": [
{
"key": "dell.idrac.system.virtualMedia.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the virtual media. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Virtual media state"
}
},
{
"key": "dell.idrac.system.virtualMedia.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the virtual media. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Virtual media health"
}
},
{
"key": "dell.idrac.system.virtualMedia.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this virtual media. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Virtual media health rollup"
}
},
{
"key": "dell.idrac.system.virtualMedia.Inserted",
"metadata": {
"unit": "Count",
"description": "An indication of whether virtual media is inserted into the virtual device.",
"displayName": "Virtual media inserted"
}
}
]
},
"Simple storage": {
"metrics": [
{
"key": "dell.idrac.system.simpleStorage.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the simple storage. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Simple storage state"
}
},
{
"key": "dell.idrac.system.simpleStorage.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the simple storage. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Simple storage health"
}
},
{
"key": "dell.idrac.system.simpleStorage.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this simple storage. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Simple storage health rollup"
}
}
]
},
"Computer system": {
"metrics": [
{
"key": "dell.idrac.system.PowerState",
"metadata": {
"unit": "Count",
"description": "The current power state of the system. Equals 1 if On, 0 otherwise. You can check the actual state on the PowerState dimension.",
"displayName": "Power state"
}
},
{
"key": "dell.idrac.system.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the system. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "System state"
}
},
{
"key": "dell.idrac.system.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the system. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "System health"
}
},
{
"key": "dell.idrac.system.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this system. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "System health rollup"
}
},
{
"key": "dell.idrac.system.BootProgress.LastState",
"metadata": {
"unit": "Count",
"description": "The last boot progress state.",
"displayName": "Boot progress state"
}
},
{
"key": "dell.idrac.system.GraphicalConsole.ServiceEnabled",
"metadata": {
"unit": "Count",
"description": "The information about a graphical console service for this system.",
"displayName": "Graphical console status"
}
}
]
},
"Network adapter": {
"metrics": [
{
"key": "dell.idrac.system.chassis.networkAdapter.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the network adapter. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Network adapter state"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the network adapter. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Network adapter health"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the network adapter. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Network adapter health rollup"
}
}
]
},
"Power subsystem": {
"metrics": [
{
"key": "dell.idrac.system.chassis.powerSubsystem.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the power subsystem. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Power subsystem state"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the power subsystem. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Power subsystem health"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the power subsystem. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Power subsystem health rollup"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.CapacityWatts",
"metadata": {
"unit": "Watt",
"description": "The total amount of power that can be allocated to this subsystem. This value can be either the power supply capacity or the power budget that an upstream chassis assigns to this subsystem.",
"displayName": "Power capacity"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.Allocation.AllocatedWatts",
"metadata": {
"unit": "Watt",
"description": "The total amount of power that has been allocated or budgeted to this subsystem.",
"displayName": "Power allocated"
}
},
{
"key": "dell.idrac.system.chassis.powerSubsystem.Allocation.RequestedWatts",
"metadata": {
"unit": "Watt",
"description": "The potential power, in watts, that the subsystem requests, which might be higher than the current level being consumed because the requested power includes a budget that the subsystem wants for future use.",
"displayName": "Power requested"
}
}
]
},
"Network interface": {
"metrics": [
{
"key": "dell.idrac.system.networkInterface.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the network interface. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Network interface state"
}
},
{
"key": "dell.idrac.system.networkInterface.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the network interface. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Network interface health"
}
},
{
"key": "dell.idrac.system.networkInterface.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this network interface. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Network interface health rollup"
}
}
]
},
"Thermal subsystem": {
"metrics": [
{
"key": "dell.idrac.system.chassis.thermalSubsystem.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the thermal subsystem. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Thermal subsystem state"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the thermal subsystem. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Thermal subsystem health"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the thermal subsystem. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Thermal subsystem health rollup"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.TemperatureSummaryCelsius.Intake.Reading",
"metadata": {
"unit": "Celsius",
"description": "The intake temperature (Celsius) of this subsystem.",
"displayName": "Intake temperature"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.TemperatureSummaryCelsius.Internal.Reading",
"metadata": {
"unit": "Celsius",
"description": "The internal temperature (Celsius) of this subsystem.",
"displayName": "Internal temperature"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.TemperatureSummaryCelsius.Exhaust.Reading",
"metadata": {
"unit": "Celsius",
"description": "The exhaust temperature (Celsius) of this subsystem.",
"displayName": "Exhaust temperature"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.HeaterSummary.TotalPrePowerOnHeatingTimeSeconds",
"metadata": {
"unit": "Second",
"description": "The total number of seconds all the heaters in the thermal subsystem were active while the respective devices they heat were powered off.",
"displayName": "Prepower on heating time"
}
},
{
"key": "dell.idrac.system.chassis.thermalSubsystem.HeaterSummary.TotalRuntimeHeatingTimeSeconds",
"metadata": {
"unit": "Second",
"description": "The total number of seconds all the heaters in the thermal subsystem were active while the respective devices they heat were powered on.",
"displayName": "Runtime heating time"
}
}
]
},
"Ethernet interface": {
"metrics": [
{
"key": "dell.idrac.system.ethernetInterface.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the ethernet interface. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Ethernet interface state"
}
},
{
"key": "dell.idrac.system.ethernetInterface.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the ethernet interface. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Ethernet interface health"
}
},
{
"key": "dell.idrac.system.ethernetInterface.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this ethernet interface. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Ethernet interface health rollup"
}
},
{
"key": "dell.idrac.system.ethernetInterface.SpeedMbps",
"metadata": {
"unit": "MegaBitPerSecond",
"description": "The current speed, in Mbit/s, of this interface.",
"displayName": "Interface speed"
}
},
{
"key": "dell.idrac.system.ethernetInterface.InterfaceEnabled",
"metadata": {
"unit": "Count",
"description": "An indication of whether this interface is enabled.",
"displayName": "Interface enabled"
}
},
{
"key": "dell.idrac.system.ethernetInterface.LinkStatus",
"metadata": {
"unit": "Count",
"description": "The link status of this interface, or port.",
"displayName": "Interface link status"
}
}
]
},
"Storage controller": {
"metrics": [
{
"key": "dell.idrac.system.storage.controller.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the storage controller. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Storage controller state"
}
},
{
"key": "dell.idrac.system.storage.controller.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the storage controller. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Storage controller health"
}
},
{
"key": "dell.idrac.system.storage.controller.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of this storage controller. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Storage controller health rollup"
}
},
{
"key": "dell.idrac.system.storage.controller.CacheSummary.TotalCacheSizeMiB",
"metadata": {
"unit": "MebiByte",
"description": "The total configured cache memory, measured in MiB.",
"displayName": "Total cache size"
}
},
{
"key": "dell.idrac.system.storage.controller.SpeedGbps",
"metadata": {
"unit": "GigaBitPerSecond",
"description": "The maximum speed of the storage controller's device interface.",
"displayName": "Speed"
}
},
{
"key": "dell.idrac.system.storage.controller.ControllerRates.ConsistencyCheckRatePercent",
"metadata": {
"unit": "Percent",
"description": null,
"displayName": "Consistency check rate"
}
},
{
"key": "dell.idrac.system.storage.controller.ControllerRates.RebuildRatePercent",
"metadata": {
"unit": "Percent",
"description": null,
"displayName": "Rebuild rate"
}
}
]
},
"Environment metrics": {
"metrics": [
{
"key": "dell.idrac.system.chassis.PowerWatts.Reading",
"metadata": {
"unit": "Watt",
"description": "Power consumption (W).",
"displayName": "Power watts"
}
}
]
},
"Network adapter function": {
"metrics": [
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Status.State",
"metadata": {
"unit": "Count",
"description": "The current state of the network adapter function. Equals 1 if Enabled, 0 otherwise. You can check the actual state on the Status.State dimension.",
"displayName": "Network adapter function state"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Status.Health",
"metadata": {
"unit": "Count",
"description": "The current health state of the network adapter function. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.Health dimension.",
"displayName": "Network adapter function health"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Status.HealthRollup",
"metadata": {
"unit": "Count",
"description": "The overall health state from the view of the network adapter function. Equals 1 if Ok, 0 otherwise. You can check the actual state on the Status.HealthRollup dimension.",
"displayName": "Network adapter function health rollup"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.DiscardedPkts",
"metadata": {
"unit": "Count",
"description": "Indicates the total number of discarded packets.",
"displayName": "Discarded packets"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.PartitionLinkStatus",
"metadata": {
"unit": "Count",
"description": "Indicates whether the partition link is up or down. Equals 1 if Up, 0 otherwise.",
"displayName": "Partition link status"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.PartitionOSDriverState",
"metadata": {
"unit": "Count",
"description": "Indicates operating system driver states of the partitions. Equals 1 if Operational, 0 otherwise.",
"displayName": "Partition OS drive status"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.RxErrorPktAlignmentErrors",
"metadata": {
"unit": "Count",
"description": "Indicates the total number of packets received with alignment errors.",
"displayName": "Received alignment errors"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.RxBytes",
"metadata": {
"unit": "Byte",
"description": "Indicates the total number of bytes received, including host and remote management pass through traffic. Remote management passthrough traffic is applicable to LOMs only.",
"displayName": "Bytes received"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.RxErrorPktFCSErrors",
"metadata": {
"unit": "Count",
"description": "Indicates the total number of packets received with FCS errors.",
"displayName": "Received FCS errors"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.RxFalseCarrierDetection",
"metadata": {
"unit": "Count",
"description": "Indicates the total number of false carrier errors received from PHY.",
"displayName": "Received false carrier errors"
}
},
{
"key": "dell.idrac.system.chassis.networkAdapter.functions.Oem.Dell.DellNICPortMetrics.RxJabberPkt",
"metadata": {
"unit": "Count",
"description": "Indicates the total number of frames that are too long.",
"displayName": "Received jabber frames"
}
},
{
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"source": "### Requirements\n\n* Dynatrace version 1.275+\n* ActiveGate version 1.275+\n* ActiveGate with the **Extensions 2.0** module enabled.\n* Dell iDRAC9 with Redfish API enabled\n* Redfish API version 7.xx - Older versions of Redfish API may result in incomplete data\n* User or token with permissions to query the Redfish API\n\n---\n\n### Dynatrace configuration\n\n* **Redfish API URL**: URL for the Dell iDRAC's Redfish API to query\n* **Authentication method**: How to authenticate against the Redfish API, either by token or username and password.\n * **Authentication token**: If the authentication method selected is token, the session token used in each API call.\n * **Username**: If the authentication method selected is username and password, the username for authentication.\n * **Password**: Password for the above user.\n* **Frequency**: How often the extension will run, in minutes.\n* **Debug**: Generate more verbose logs for troubleshooting\n\nThe extension executes a huge amount of API calls against the Redfish API to get all the data the extension needs, which means that both network traffic and load on the Redfish side can critically increase with the enablement of the extension. Setting a higher frequency helps alleviate the load on the Redfish side, as the configured endpoints will be spread automatically accross the full execution frequency of the activation. For example, if you configure 15 endpoints on a 15 minute frequency, each one will be executed one minute after the other, or if you configure 10 endpoints on a 20 minute frequency, each endpoint will be executed two minutes after the previous.\n\n---\n\n### Alerting\n\nThe extension doesn't bring any built-in alerting, but you can create alerts using [metric events](https://docs.dynatrace.com/docs/platform/davis-ai/anomaly-detection/metric-events). The extension is able to correlate these events between the different entities based on their relationships, so it's able to pinpoint root causes in your Dell iDRAC monitored environment when these events trigger."
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"source": "[Prometheus](https://prometheus.io/) is an open-source monitoring toolkit for collecting and alerting on infrastructure and platform metrics. These metrics are exposed by Prometheus in OpenMetrics format. Prometheus exporters provide a standardized monitoring interface for numerous technologies and services. \nBy adding Dynatrace support to metrics collected from Prometheus exporters, you get intelligent observability and automatic root cause analysis for technologies such as Apache Cassandra, Redis, and Kafka. As well [100+ integrations](https://prometheus.io/docs/instrumenting/exporters/) maintained by the Prometheus community.\n\n### This is intended for users who want to:\n\n- Leverage Apache Cassandra Prometheus metrics to extend Dynatrace’s monitoring capabilities.\n\n### This enables you to:\n\n- Monitor you Azure Managed Instance for Apache Cassandra Cluster\n- Visualize Infrastructure (Cluster, Data Center, Rack, Node) and Data (Keyspace & Table) Metrics.\n- Proactively alert on anomalies of Prometheus metrics with Davis AI.\n\n### Compatibility Requirements:\n\n- ActiveGate version 1.231+"
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"source": "This extension is built on top of the new [Extension 2.0 Framework](https://www.dynatrace.com/news/blog/extend-dynatrace-automation-and-ai-capabilities-more-easily-than-ever/).\n\n### The extension package contains:\n- Prometheus DataSource configuration,\n- dashboard template,\n- Unified Analysis screen template,\n- topology definition and entity extraction rules.\n\nMore information can be found in the Documentation:\n- [Prometheus Extensions](https://www.dynatrace.com/support/help/extend-dynatrace/extensions20/data-sources/prometheus-extensions)\n\n### Collected metrics:\n\n- Storage Load\n- Storage Exceptions\n- Commit Log Pending Tasks\n- Commit Log Completed Tasks Total\n- Buffer Pool Size\n- Buffer Pool Misses Total\n- Client Connected Native Clients\n- Client Auth Failure Total\n- Client Auth Success Total\n- Storage Total Hints Total\n- CQL Prepared Statements Executed Total\n- CQL Regular Statements Executed Total\n- Dropped Messages Total\n- JVM GC Count\n- JVM GC Time\n- JVM Memory Used\n- JVM Memory Usage\n- Thread Pools Active Tasks\n- Thread Pools Total Blocked Tasks Total\n- Thread Pools Completed Tasks\n- Client Request Latency Total\n- Client Request Failures Total\n- Client Request Unavailables Total\n- Cache Hit Rate\n- Cache Capacity\n- Cache Misses Total\n- Cache Size\n- Keyspace All Memtables Live Data Size\n- Keyspace Bloom Filter Disk Space Used\n- Keyspace Live Disk Space Used\n- Keyspace Memtable Columns Count\n- Keyspace Memtable Live Data Size\n- Keyspace Memtable Switch Count\n- Keyspace Pending Compaction\n- Keyspace Pending Flushes\n- Keyspace Read Total Latency Total\n- Keyspace Total Disk Space Used\n- Keyspace Write Total Latency Total\n- Table Bloom Filter Disk Space Used\n- Table Bloom Filter False Positives\n- Table Bloom Filter False Ratio\n- Table Bloom Filter False Ratio\n- Table Bytes Flushed Total\n- Table Compaction Bytes Written Total\n- Table Compression Ratio\n- Table Compression Ratio\n- Table Dropped Mutations Total\n- Table Estimated Partition Count\n- Table Key Cache Hit Rate\n- Table Key Cache Hit Rate\n- Table Live Disk Space Used Total\n- Table Live SSTable Count\n- Table Memtable Columns Count\n- Table Memtable Live Data Size\n- Table Memtable Switch Count Total\n- Table Pending Compactions\n- Table Pending Flushes Total\n- Table Read Total Latency Total\n- Table Row Cache Hit Total\n- Table Row Cache Miss Total\n- Table Total Disk Space Used Total\n- Table Write Total Latency Total"
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"source": "Dynatrace integrates Gauge and Counter metrics from your Azure Managed Instance for Apache Cassandra Clusters.\n\n### Step-by-step instructions\n\n1. Enable the Azure Managed Instance for Apache Cassandra extension on the Hub.\n1. Create a Monitoring Configuration \n\t1. Use the API URL of your Prometheus Server (http://localhost:9090/api/v1)\n\t1. Select the ActiveGate Group \n 1. Add a Description\n\t1. Select the Feature Sets for this Configuration\n1. Save your configuration and start exploring the data in the pre-configured Dashboard(s) and Unified Analysis Screens\n"
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"description": "The minimum throughput in IOPS (volumes)",
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}
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"key": "netapp.ontap.svm.qos.min_throughput_iops",
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},
{
"key": "netapp.ontap.svm.qos.max_throughput_iops",
"metadata": {
"unit": "Count",
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"key": "netapp.ontap.svm.qos.min_throughput_mbps",
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}
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{
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"displayName": "FRU state"
}
}
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{
"key": "netapp.ontap.lun.state",
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"description": "The state of the LUN. Normal states for a LUN are online and offline. Other states indicate errors",
"displayName": "LUN state"
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{
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"description": "The state of the volume and aggregate that contain the LUN. LUNs are only available when their containers are available",
"displayName": "LUN container state"
}
},
{
"key": "netapp.ontap.lun.enabled",
"metadata": {
"unit": "Count",
"description": "The enabled state of the LUN. LUNs can be disabled to prevent access to the LUN. 1 = enabled, 0 = disabled",
"displayName": "LUN enabled state"
}
},
{
"key": "netapp.ontap.lun.used",
"metadata": {
"unit": "Byte",
"description": "The amount of space consumed by the main data stream of the LUN",
"displayName": "LUN space used"
}
},
{
"key": "netapp.ontap.lun.size",
"metadata": {
"unit": "Byte",
"description": "The total provisioned size of the LUN",
"displayName": "LUN size"
}
},
{
"key": "netapp.ontap.lun.used_percentage",
"metadata": {
"unit": "Percent",
"description": "Space used in the LUN as a percentage",
"displayName": "LUN space used percentage"
}
}
]
},
"svms": {
"metrics": [
{
"key": "netapp.ontap.svm.state",
"metadata": {
"unit": "Count",
"description": "Current SVM state: starting, running, stopping, stopped,or deleting",
"displayName": "SVM state"
}
}
]
},
"disks": {
"metrics": [
{
"key": "netapp.ontap.disk.rated_life_used_percentage",
"metadata": {
"unit": "Percent",
"description": "Percentage of rated life used",
"displayName": "Rated life used"
}
},
{
"key": "netapp.ontap.disk.state",
"metadata": {
"unit": "Count",
"description": "Current disk state: broken, copy, maintenance, partner, pending, present, reconstructing, removed, spare, unfail, or zeroing",
"displayName": "Disk state"
}
}
]
},
"nodes": {
"metrics": [
{
"key": "netapp.ontap.node.uptime",
"metadata": {
"unit": "Second",
"description": "How long the node reports it has been running",
"displayName": "Node uptime"
}
},
{
"key": "netapp.ontap.node.over_temperature",
"metadata": {
"unit": "Count",
"description": "Specifies whether the hardware is currently operating outside of its recommended temperature range (1 = \"normal\", 2 = \"over\").",
"displayName": "Over temperature"
}
},
{
"key": "netapp.ontap.node.membership",
"metadata": {
"unit": "State",
"description": "Membership status of the cluster node",
"displayName": "Node membership"
}
},
{
"key": "netapp.ontap.node.processor_utilization",
"metadata": {
"unit": "Percent",
"description": "Average CPU Utilization for the node",
"displayName": "Node processor utilization"
}
}
]
},
"default": {
"metrics": [
{
"key": "netapp.ontap.cluster.availability",
"metadata": {
"unit": "Percent",
"description": "Connectivity to the configured OnTap cluster URL as detected by the extension",
"displayName": "Cluster availability"
}
}
]
},
"volumes": {
"metrics": [
{
"key": "netapp.ontap.volume.state",
"metadata": {
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}
},
{
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},
{
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},
{
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"metadata": {
"unit": "Byte",
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"displayName": "Volume throughput (write)"
}
},
{
"key": "netapp.ontap.volume.throughput.total.count",
"metadata": {
"unit": "Byte",
"description": "The volume's rate of throughput bytes observed at the storage object (total)",
"displayName": "Volume throughput (total)"
}
},
{
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"metadata": {
"unit": "Count",
"description": "The volume's number of I/O operations observed at the storage object (other)",
"displayName": "Volume IOPS (other)"
}
},
{
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"metadata": {
"unit": "Count",
"description": "The volume's number of I/O operations observed at the storage object (read)",
"displayName": "Volume IOPS (read)"
}
},
{
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"metadata": {
"unit": "Count",
"description": "The volume's number of I/O operations observed at the storage object (write)",
"displayName": "Volume IOPS (write)"
}
},
{
"key": "netapp.ontap.volume.iops.total.count",
"metadata": {
"unit": "Count",
"description": "The volume's number of I/O operations observed at the storage object (total)",
"displayName": "Volume IOPS (total)"
}
},
{
"key": "netapp.ontap.volume.latency.total",
"metadata": {
"unit": "MicroSecond",
"description": "The volume's raw latency in microseconds observed at the storage object (total)",
"displayName": "Volume latency (total)"
}
},
{
"key": "netapp.ontap.volume.latency.read",
"metadata": {
"unit": "MicroSecond",
"description": "The volume's raw latency in microseconds observed at the storage object (read)",
"displayName": "Volume latency (read)"
}
},
{
"key": "netapp.ontap.volume.latency.write",
"metadata": {
"unit": "MicroSecond",
"description": "The volume's raw latency in microseconds observed at the storage object (write)",
"displayName": "Volume latency (write)"
}
},
{
"key": "netapp.ontap.volume.latency.other",
"metadata": {
"unit": "MicroSecond",
"description": "The volume's raw latency in microseconds observed at the storage object (other)",
"displayName": "Volume latency (other)"
}
},
{
"key": "netapp.ontap.volume.size",
"metadata": {
"unit": "Byte",
"description": "Total provisioned size",
"displayName": "Volume size"
}
},
{
"key": "netapp.ontap.volume.available",
"metadata": {
"unit": "Byte",
"description": "The available space",
"displayName": "Volume space available"
}
},
{
"key": "netapp.ontap.volume.used",
"metadata": {
"unit": "Byte",
"description": "Volume space used (including data and metadata)",
"displayName": "Volume space used"
}
},
{
"key": "netapp.ontap.volume.used_percent",
"metadata": {
"unit": "Percent",
"description": "Percentage of volume space used (including data and metadata)",
"displayName": "Volume space used percentage"
}
},
{
"key": "netapp.ontap.volume.files.maxiumum"
},
{
"key": "netapp.ontap.volume.files.used",
"metadata": {
"unit": "Count",
"description": "Number of files (inodes) used for user-visible data permitted on the volume.",
"displayName": "Files (inodes)"
}
},
{
"key": "netapp.ontap.volume.files.used_percentage",
"metadata": {
"unit": "Percent",
"description": "Percentage of the maximum number of files used on the volume.",
"displayName": "Files (inodes) used percentage"
}
}
]
},
"clusters": {
"metrics": [
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"key": "netapp.ontap.cluster.iops_other.count",
"metadata": {
"unit": "Count",
"description": "The cluster's number of I/O operations observed at the storage object (other)",
"displayName": "Cluster IOPS (other)"
}
},
{
"key": "netapp.ontap.cluster.iops_read.count",
"metadata": {
"unit": "Count",
"description": "The cluster's number of I/O operations observed at the storage object (read)",
"displayName": "Cluster IOPS (read)"
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},
{
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"unit": "Count",
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"unit": "Count",
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"unit": "Byte",
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"displayName": "Cluster throughput (other)"
}
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"metadata": {
"unit": "Byte",
"description": "The cluster's rate of throughput bytes observed at the storage object (read)",
"displayName": "Cluster throughput (read)"
}
},
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"key": "netapp.ontap.cluster.throughput_total.count",
"metadata": {
"unit": "Byte",
"description": "The cluster's rate of throughput bytes observed at the storage object (total)",
"displayName": "Cluster throughput (total)"
}
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{
"key": "netapp.ontap.cluster.throughput_write.count",
"metadata": {
"unit": "Byte",
"description": "The cluster's rate of throughput bytes observed at the storage object (write)",
"displayName": "Cluster throughput (write)"
}
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"metadata": {
"unit": "MicroSecond",
"description": "The cluster's raw latency in microseconds observed at the storage object (other)",
"displayName": "Cluster latency (other)"
}
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"key": "netapp.ontap.cluster.latency_read.count",
"metadata": {
"unit": "MicroSecond",
"description": "The cluster's raw latency in microseconds observed at the storage object (read)",
"displayName": "Cluster latency (read)"
}
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"key": "netapp.ontap.cluster.latency_total.count",
"metadata": {
"unit": "MicroSecond",
"description": "The cluster's raw latency in microseconds observed at the storage object (total)",
"displayName": "Cluster latency (total)"
}
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{
"key": "netapp.ontap.cluster.latency_write.count",
"metadata": {
"unit": "MicroSecond",
"description": "The cluster's raw latency in microseconds observed at the storage object (write)",
"displayName": "Cluster latency (write)"
}
},
{
"key": "netapp.ontap.cluster.block_storage_size",
"metadata": {
"unit": "Byte",
"description": "The size of the cluster's block storage",
"displayName": "Cluster block storage size"
}
},
{
"key": "netapp.ontap.cluster.block_storage_used",
"metadata": {
"unit": "Byte",
"description": "Amount of block storage on the cluster in use",
"displayName": "Cluster block storage used"
}
},
{
"key": "netapp.ontap.cluster.block_storage_used_percentage",
"metadata": {
"unit": "Percent",
"description": "The percentage of the cluster's block storage that is currently in use",
"displayName": "Cluster block storage used percentage"
}
}
]
},
"aggregates": {
"metrics": [
{
"key": "netapp.ontap.aggregate.state",
"metadata": {
"unit": "Count",
"description": "Current aggregate state: online, onlining, offline, offlining, relocating, unmounted, restricted, inconsistent, failed, or unknown",
"displayName": "Aggregate state"
}
},
{
"key": "netapp.ontap.aggregate.block_storage_used",
"metadata": {
"unit": "Byte",
"description": "Space used or reserved in bytes. Includes volume guarantees and aggregate metadata.",
"displayName": "Aggregate block storage used"
}
},
{
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"metadata": {
"unit": "Byte",
"description": "Space available in bytes",
"displayName": "Aggregate block storage available"
}
},
{
"key": "netapp.ontap.aggregate.block_storage_size",
"metadata": {
"unit": "Byte",
"description": "Total usable space in bytes, not including WAFL reserve and aggregate Snapshot copy reserve.",
"displayName": "Aggregate block storage size"
}
},
{
"key": "netapp.ontap.aggregate.block_storage_used_percent",
"metadata": {
"unit": "Percent",
"description": "Percentage of block storage used",
"displayName": "Aggregate block storage used percentage"
}
}
]
},
"snapmirror-relationships": {
"metrics": [
{
"key": "netapp.ontap.snapmirror.relationship.lag_time",
"metadata": {
"unit": "Second",
"description": "The time since the exported snapshot was created",
"displayName": "Lag time"
}
},
{
"key": "netapp.ontap.snapmirror.relationship.state",
"metadata": {
"unit": "State",
"description": "The state of the relationship",
"displayName": "Relationship state"
}
},
{
"key": "netapp.ontap.snapmirror.relationship.health",
"metadata": {
"unit": "State",
"description": "Is the relationship healthy?",
"displayName": "Relationship health"
}
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"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Collect, view, and analyze metrics from your NetApp OnTap clusters in context with your hosts, applications, and services already being monitored by OneAgents. Make use of powerful charting and dashboarding capabilities as well as allow the Davis® AI causation engine to generate baselines and alert you when anomalies are detected in designated metrics.\nMetrics will be collected OnTap cluster-wide as well as for each of your nodes and storage virtual machines (SVMs)."
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Compatibility information",
"source": "Connects to and collects data from the [NetApp OnTap API](https://library.netapp.com/ecmdocs/ECMLP2856304/html/index.html). This REST API is available in OnTap 9.6+."
},
"sourceId": "supported_distributions"
},
{
"type": "markdown",
"properties": {
"title": "Details",
"source": "### Assets\n\nA NetApp OnTap Overview dashboard is included with the extension. This includes links to access the various OnTap entities detected.\n\n\n\n### Metric events\n\nThree metric event configurations are included with the extension. These must be enabled in the Metric events for alerting settings before they will be active:\n- OnTap Cluster monitoring unavailable\n- OnTap FRU in error state\n- High Temperature on OnTap Node\n\n### Metrics\n\nMetrics are associated with different feature sets that can be enabled or disabled as needed. Metrics will be collected once per minute. Review the bottom of the Hub page for a breakdown of metrics.\n\n### Volume to VMware datastore linking\n\nStarting with version 2.3.2 rules are included to allow linking of this extension's netapp_ontap:volume entity to the vmware:datastore from the [VMware remote monitoring extension](https://www.dynatrace.com/hub/detail/vmware-remote-monitoring/). Version 3.5.1 of the VMware extension is required for the necessary attributes to be collected. This linking is done via a \"same as\" relationship and is based on the volume's name matching the datastore's 'NAS remote path' property.\n"
},
"sourceId": "blocks_0"
},
{
"type": "markdown",
"properties": {
"title": "Installation",
"source": "### Requirements\n\n- NetApp OnTap version 9.6+ with REST API reachable\n- OnTap user with 'http' application access that is assigned a rest-role with at least readonly access to the following API paths:\n - /api/cluster\n - /api/svm/svms\n - /api/storage/cluster\n - /api/storage/aggregates\n - /api/storage/disks\n - /api/storage/volumes\n\n### Dynatrace configuration\n\nFind 'NetApp OnTap' in the in-product Extensions or Hub page and activate (if offline you can download the extension from this Hub page in the 'Versions' section and install as a custom extension).\n\n### Monitoring configurations\n\nOnce activated in your environment you can create monitoring configurations. Each monitoring configuration can have one or more OnTap clusters configured.\n\nFirst select the desired ActiveGate group that will run the monitoring configuration.\n\nFor each cluster configure a NetApp OnTap Extension Endpoint:\n\n- **OnTap REST API URL**: URL (including protocol) to where OnTap API is available (e.g. https://ontap-prod/)\n- **Cluster name**: Used in naming the cluster entity (default is detected hostname)\n- **Username**: For API access\n- **Password**: For API access (check requirements section for needed permissions)\n- **Proxy**\n - **Address**: e.g. http://proxy.example.com:8080\n - **Proxy username**\n - **Proxy password**\n- **Verify SSL certificate**\n\nThe **Frequency** can be used to collect metrics less frequently than the default of once per minute. You may need to use this in large clusters where collecting all requested data would take longer than 1 minute.\n\nThe **Log level** will be set at the monitoring configuration level and will apply to all endpoints. INFO by default. DEBUG logging is only needed when investigating issues with support.\n\nFinally, enable the desired feature sets (refer to the Details tab for what metrics are associated with which feature sets).\n\n\n"
},
"sourceId": "blocks_1"
},
{
"type": "markdown",
"properties": {
"title": "Licensing",
"source": "### Licensing\n\nThere is no charge for obtaining the extension, only for the data (metrics & events) that the extension ingests. The details of license consumption will depend on which licensing model you are using. This will either be [Dynatrace classic licensing](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic) or the [Dynatrace Platform Subscription (DPS)](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/dynatrace-platform-subscription) model.\n\n### Metrics\n\nLicense consumption is based on the number of metric data points ingested. The following formula will provide approximate annual data points ingested assuming all feature sets are enabled (formula must be adjusted if a lower frequency than once per minute used):\n\n`(16 + (4 x nodes) + (1 x frus) + (1 x svms) + (2 x disks) + (5 x aggregates) + (20 x volumes) +(4 x volume of svm with qos policy) + (3 x snapmirror relationships)) x 60 min x 24 h x 365 days data points/year`\n\n#### Classic licensing\n\nIn the classic licensing model, metric ingestion will consume [Davis Data Units (DDUs)](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units) at the rate of .001 DDUs per metric data point.\n\nMultiply the above formula for annual data points by .001 to estimate annual DDU usage.\n\n### Log records\nThis extension will report log events in 2 situations:\n1. When a cluster node restart is detected\n2. When the extension cannot connect to the configured cluster API endpoint\n - Each minute will have another event reported until the issue is resolved and a successful connection occurs\n\n#### Log management and analytics (powered by Grail)\n\nLicense consumption is based on the size (in bytes) of data ingested & processed, retained, and queried so there is not a single formula to estimate the total consumption from this extension. Consult the [log management and analytics documentation](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/dynatrace-platform-subscription/dps-log-management) for details on the other dimensions that will effect license consumption.\n\n#### Classic licensing\n\nIn the classic licensing model, log record ingestion will consume [Davis Data Units (DDUs)](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units) at the rate of 100 DDUs per Gigabyte of log records ingested.\n\n#### Log monitoring classic\n\nIn log monitoring classic, license consumption is based on the number of ingested log records.\n\n#### Classic licensing\n\nIn the classic licensing model, log record ingestion will consume [Davis Data Units (DDUs)](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units) at the rate of .0005 DDUs per ingested log record.\n\nMultiply estimated ingested log records by .0005 to estimate DDU usage from log records.\n"
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"metadata": {
"unit": "Percent",
"description": "The ratio of memory used by the operating system compared to the amount of memory allocated by Redis.",
"displayName": "Memory fragmentation ratio"
}
},
{
"key": "redis.memory_usage",
"metadata": {
"unit": "Percent",
"description": "The percentage of utilized Redis memory. This metric is visible only when the Redis maxmemory parameter is configured.",
"displayName": "Memory usage"
}
}
]
},
"clients": {
"metrics": [
{
"key": "redis.connected_clients",
"metadata": {
"unit": "Count",
"description": "Number of client connections (excluding connections from replicas).",
"displayName": "Connected clients"
}
},
{
"key": "redis.blocked_clients",
"metadata": {
"unit": "Count",
"description": "The number of blocked clients",
"displayName": "Blocked clients"
}
},
{
"key": "redis.total_connections_received.count",
"metadata": {
"unit": "Count",
"description": "Number of connections accepted by the server.",
"displayName": "Connections received"
}
},
{
"key": "redis.rejected_connections.count",
"metadata": {
"unit": "Count",
"description": "The number of connections rejected because of the maxclients limit.",
"displayName": "Rejected connections"
}
}
]
},
"default": {
"metrics": [
{
"key": "redis.role",
"metadata": {
"unit": "State",
"description": "The role of the Redis instance (e.g. master, slave, or sentinel)",
"displayName": "Role"
}
},
{
"key": "redis.responsiveness",
"metadata": {
"unit": "MilliSecond",
"description": "The time elapsed while the Redis server responds to INFO requests. Redis typically responds within milliseconds.",
"displayName": "Responsiveness"
}
}
]
},
"slowlog": {
"metrics": [
{
"key": "redis.slowlog_len.count",
"metadata": {
"unit": "Count",
"description": "The number of queries added in the Redis slow log.",
"displayName": "Slow queries"
}
}
]
},
"database": {
"metrics": [
{
"key": "redis.keys",
"metadata": {
"unit": "Count",
"description": "The number of keys in the selected database.",
"displayName": "Keys"
}
},
{
"key": "redis.expires",
"metadata": {
"unit": "Count",
"description": "The number of keys that have the TTL parameter.",
"displayName": "Expires"
}
},
{
"key": "redis.avg_ttl",
"metadata": {
"unit": "MilliSecond",
"description": "The estimated average TTL of keys on the server.",
"displayName": "Average time-to-live"
}
}
]
},
"statistics": {
"metrics": [
{
"key": "redis.keyspace_hits.count",
"metadata": {
"unit": "Count",
"description": "Number of successful key lookups in the main dictionary.",
"displayName": "Keyspace hits"
}
},
{
"key": "redis.keyspace_misses.count",
"metadata": {
"unit": "Count",
"description": "Number of failed key lookups.",
"displayName": "Keyspace misses"
}
},
{
"key": "redis.evicted_keys.count",
"metadata": {
"unit": "Count",
"description": "Number of keys removed from cache to free up memory for new items",
"displayName": "Evicted keys"
}
},
{
"key": "redis.expired_keys.count",
"metadata": {
"unit": "Count",
"description": "Number of key expiration events.",
"displayName": "Expired keys"
}
},
{
"key": "redis.total_commands_processed.count",
"metadata": {
"unit": "Count",
"description": "Number of commands processed by Redis.",
"displayName": "Commands processed"
}
},
{
"key": "redis.hit_ratio",
"metadata": {
"unit": "Percent",
"description": "The percentage of key lookups in the main dictionary that were successful.",
"displayName": "Cache hit ratio"
}
}
]
},
"replication": {
"metrics": [
{
"key": "redis.connected_replicas",
"metadata": {
"unit": "Count",
"description": "Number of connected replicas. This metric is visible for the master and those replicas that are connected to other replicas.",
"displayName": "Connected replicas"
}
},
{
"key": "redis.master_last_io_seconds_ago",
"metadata": {
"unit": "Second",
"description": "Time since interaction with the master",
"displayName": "Last master interaction time"
}
}
]
}
},
"minDynatraceVersion": "1.269.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Redis is an open-source, in-memory, key-value database (or \"data structure server\") with optional durability. Redis is commonly used as a database, cache, queue, and message broker (publish and subscribe). Out of the box, Dynatrace monitors the standard Redis process level metrics. Using this extension you can collect additional Redis metrics including response time, memory fragmentation, cache hit ratio, cache usage, number of connections, hits, misses, and more."
},
"sourceId": "about"
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{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "- Monitor for critical issues such as unsynchronized replicas or synchronization tasks taking longer than expected\n- Identify memory related issues such as excessive memory fragmentation or keys being evicted due to memory limits being reached\n- Detect if clients are being rejected due to the maxclients limit\n- Identify if there is an increasing number of queries exceeding their specified execution times (reported in the slow log)"
},
"sourceId": "use_cases"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "Start by activating this extension in your environment either by using the in-product Hub or via the Extensions Manager app. Then create a monitoring configuration. To create configurations for a group of OneAgent monitored hosts you can use things like host groups, management zones, and tags to supply a single configuration that applies to all of them.\n\nMultiple Redis instances on a single OneAgent monitored host are supported. You are able to supply a password and configuration file location (for use in identifying renamed commands) for an entire monitoring configuration as well as provide overrides in case individual instances need specific configurations. All of the Redis instances on the host will be discovered automatically, so you only need to provide overrides if they are different from the defaults. The extension will use the listening port to map your configuration overrides to the proper Redis instance. For standard processes this will be the identified listening port. For Dockerized Redis instances, this will be the mapped/bound port exposed on the host if available. If not available, it will use the internal port within the Docker container.\n\nFor connecting to Dockerized instances the user that runs extensions ('dtuser' by default) must be able to read and right to the Docker socket (`/var/run/docker.sock`). You likely will need to add this user to a group (e.g. the docker group) that has these permissions."
},
"sourceId": "get_started"
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"title": "Details",
"source": "### Metrics\nMetrics collected will be reported one the Redis process group instance. To view these metrics navigate to the process group instance screen for the relevant Redis process select the three dot button (`...`) and select \"Metrics and logs analysis.\"\n\nMetrics are organized into several feature sets (see descriptions in the feature sets section below) based on:\n - Replication\n - Memory\n - Statistics\n - Clients\n - Databases\n - Slow log\n \n### Metric events for alerting\n2 metric events are defined within the extension. These are disabled by default so must be enabled before they are active. If you want to make changes to these you should clone them and modify the copy as any changes can be overwritten in future updates.\n\n - Redis replica synchronization in progress\n - Triggers if a replica is detected to be in the 'synchronizing' state for 3 minutes out of any 5 minute interval\n - Redis replica is unsynchronized\n - Triggers if a replica is detected to be in the 'unsynchronized' state for 3 minutes out of any 5 minute interval"
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"source": "### Requirements and limitations\n - Redis Server 2.8 or higher\n - Linux OS\n - Redis must listen on localhost. Binding between localhost and the Redis port is required.\n - This extension does not support TLS.\n \n### Docker support\n - Redis docker image version 5.0.0+"
},
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"title": "Licensing",
"source": "There is no charge for obtaining the extension, only for the data that the extension ingests. The details of license consumption will depend on which licensing model you are using. This will either be [Dynatrace classic licensing](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic) or the [Dynatrace Platform Subscription (DPS)](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/dynatrace-platform-subscription) model.\n\n#### Metrics\n\nLicense consumption is based on the number of metric data points ingested. The following formula will provide approximate annual data points ingested assuming all feature sets are enabled.\n\n`(19 + (3 * <number_of_databases)) * 60 minutes * 24 hours * 365 days data points per year`\n\n\n#### Classic licensing\n\nIn the classic licensing model, metric ingestion will consume [Davis Data Units (DDUs)](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units) at the rate of .001 DDUs per metric data point.\n\nMultiply the above formula for annual data points by .001 to estimate annual DDU usage.\n"
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"created": "2024-03-28T15:14:13.436769Z",
"seo_title": "Redis (2.0) monitoring & observability",
"seo_description": "Collect important additional data for your Redis instances. Start your free trial today!",
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"about": "Redis is an open-source, in-memory, key-value database (or \"data structure server\") with optional durability. Redis is commonly used as a database, cache, queue, and message broker (publish and subscribe). Out of the box, Dynatrace monitors the standard Redis process level metrics. Using this extension you can collect additional Redis metrics including response time, memory fragmentation, cache hit ratio, cache usage, number of connections, hits, misses, and more.",
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"supported_distributions": "### Requirements and limitations\n - Redis Server 2.8 or higher\n - Linux OS\n - Redis must listen on localhost. Binding between localhost and the Redis port is required.\n - This extension does not support TLS.\n \n### Docker support\n - Redis docker image version 5.0.0+",
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"search_boost": 0,
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"displayName": "Kafka Consumer - Outgoing byte rate"
}
},
{
"key": "kafka.consumer.consumer-metrics.request-latency-avg",
"metadata": {
"unit": "MilliSecond",
"description": "The average request latency in ms for a node.",
"displayName": "Kafka Consumer - Request latency"
}
},
{
"key": "kafka.consumer.consumer-metrics.records-consumed-rate",
"metadata": {
"unit": "PerSecond",
"description": "The average number of records consumed per second.",
"displayName": "Kafka Consumer - Messages consumed rate"
}
},
{
"key": "kafka.consumer.consumer-metrics.bytes-consumed-rate",
"metadata": {
"unit": "PerSecond",
"description": "The average number of bytes consumed per second for a topic.",
"displayName": "Kafka Consumer - Bytes consumed rate"
}
},
{
"key": "kafka.consumer.consumer-metrics.fetch-latency-avg",
"metadata": {
"unit": "MilliSecond",
"description": "The average time taken for a fetch request.",
"displayName": "Kafka Consumer - Fetch latency"
}
},
{
"key": "kafka.consumer.consumer-metrics.records-lag",
"metadata": {
"unit": "Count",
"description": "The latest lag of the partition.",
"displayName": "Kafka Consumer - Consumer lag"
}
},
{
"key": "kafka.consumer.consumer-metrics.records-lag-avg",
"metadata": {
"unit": "Count",
"description": "The average lag of the partition.",
"displayName": "Kafka Consumer - Consumer lag average"
}
},
{
"key": "kafka.consumer.consumer-metrics.records-lag-max",
"metadata": {
"unit": "Count",
"description": "The max lag of the partition.",
"displayName": "Kafka Consumer - Consumer lag maximum"
}
}
]
},
"producer-metrics": {
"metrics": [
{
"key": "kafka.producer.producer-metrics.incoming-byte-rate",
"metadata": {
"unit": "BytePerSecond",
"description": "The average number of responses received per second for a node.",
"displayName": "Kafka Producer - Incoming byte rate"
}
},
{
"key": "kafka.producer.producer-metrics.outgoing-byte-rate",
"metadata": {
"unit": "BytePerSecond",
"description": "The average number of outgoing bytes sent per second to all servers.",
"displayName": "Kafka Producer - Outgoing byte rate"
}
},
{
"key": "kafka.producer.producer-metrics.io-wait-time-ns-avg",
"metadata": {
"unit": "NanoSecond",
"description": "The average length of time the I/O thread spent waiting for a socket ready for reads or writes in nanoseconds.",
"displayName": "Kafka Producer - I/O Wait time"
}
},
{
"key": "kafka.producer.producer-metrics.response-rate",
"metadata": {
"unit": "PerSecond",
"description": "Responses received sent per second.",
"displayName": "Kafka Producer - Response rate"
}
},
{
"key": "kafka.producer.producer-metrics.request-latency-avg",
"metadata": {
"unit": "MilliSecond",
"description": "The average request latency in ms.",
"displayName": "Kafka Producer - Request latency"
}
},
{
"key": "kafka.producer.producer-metrics.compression-rate-avg",
"metadata": {
"unit": "PerSecond",
"description": "The average compression rate of record batches, defined as the average ratio of the compressed batch size over the uncompressed size.",
"displayName": "Kafka Producer - Compression rate"
}
},
{
"key": "kafka.producer.producer-metrics.request-size-avg",
"metadata": {
"unit": "Byte",
"description": "The average size of all requests in the window.",
"displayName": "Kafka Producer - Request size"
}
},
{
"key": "kafka.producer.producer-metrics.request-rate",
"metadata": {
"unit": "PerSecond",
"description": "The average number of requests sent per second.",
"displayName": "Kafka Producer - Requests"
}
},
{
"key": "kafka.producer.producer-topic-metrics.byte-rate",
"metadata": {
"unit": "BytePerSecond",
"description": "The average number of bytes sent per second for a topic.",
"displayName": "Kafka Producer - Byte rate"
}
},
{
"key": "kafka.producer.producer-topic-metrics.compression-rate",
"metadata": {
"unit": "BytePerSecond",
"description": "The average compression rate of record batches for a topic, defined as the average ratio of the compressed batch size over the uncompressed size.",
"displayName": "Kafka Producer - Compression rate"
}
},
{
"key": "kafka.producer.producer-topic-metrics.record-error-rate",
"metadata": {
"unit": "PerSecond",
"description": "The average per-second number of record sends that resulted in errors for a topic.",
"displayName": "Kafka Producer - Failed Requests Rate"
}
},
{
"key": "kafka.producer.producer-topic-metrics.record-send-rate",
"metadata": {
"unit": "PerSecond",
"description": "The average number of records sent per second for a topic.",
"displayName": "Kafka Producer - Requests Sent Rate"
}
}
]
},
"connector-metrics": {
"metrics": [
{
"key": "kafka.connector.status",
"metadata": {
"unit": "Count",
"description": "Equals 1 if the status is running, 0 otherwise.",
"displayName": "Kafka Connector - Status"
}
},
{
"key": "kafka.connector.task.status",
"metadata": {
"unit": "Count",
"description": "Equals 1 if the status is running, 0 otherwise.",
"displayName": "Kafka Connector - Task status"
}
},
{
"key": "kafka.connector.task.pause-ratio",
"metadata": {
"unit": "Count",
"description": "The fraction of time this task has spent in the pause state.",
"displayName": "Kafka Connector - Task pause ratio"
}
},
{
"key": "kafka.connector.task.running-ratio",
"metadata": {
"unit": "Count",
"description": "The fraction of time this task has spent in the running state.",
"displayName": "Kafka Connector - Task running ratio"
}
},
{
"key": "kafka.connector.task.offset-commit-success-percentage",
"metadata": {
"unit": "Percent",
"description": "The average percentage of this task's offset commit attempts that succeeded.",
"displayName": "Kafka Connector - Task success ratio"
}
},
{
"key": "kafka.connector.task.offset-commit-max-time-ms",
"metadata": {
"unit": "MilliSecond",
"description": "The maximum time in milliseconds taken by this task to commit offsets.",
"displayName": "Kafka Connector - Task commit time (max)"
}
},
{
"key": "kafka.connector.task.offset-commit-failure-percentage",
"metadata": {
"unit": "Percent",
"description": "The maximum time in milliseconds taken by this task to commit offsets.",
"displayName": "Kafka Connector - Task failure ratio"
}
},
{
"key": "kafka.connector.task.offset-commit-avg-time-ms",
"metadata": {
"unit": "MilliSecond",
"description": "The average time in milliseconds taken by this task to commit offsets.",
"displayName": "Kafka Connector - Task commit time (avg)"
}
},
{
"key": "kafka.connector.task.batch-size-max",
"metadata": {
"unit": "Byte",
"description": "The maximum size of the batches processed by the connector.",
"displayName": "Kafka Connector - Task batch size (max)"
}
},
{
"key": "kafka.connector.task.batch-size-avg",
"metadata": {
"unit": "Byte",
"description": "The average size of the batches processed by the connector.",
"displayName": "Kafka Connector - Task batch size (avg)"
}
}
]
},
"purgatory-metrics": {
"metrics": [
{
"key": "kafka.server.purgatory.produce-delay-size",
"metadata": {
"unit": "Count",
"description": "Requests waiting in the produce purgatory.",
"displayName": "Kafka Server - Purgatory Produce Size"
}
},
{
"key": "kafka.server.purgatory.fetch-delay-size",
"metadata": {
"unit": "Count",
"description": "Requests waiting in the fetch purgatory.",
"displayName": "Kafka Server - Purgatory Fetch Size"
}
}
]
},
"zookeeper-metrics": {
"metrics": [
{
"key": "kafka.server.SessionExpireListener.ZooKeeperDisconnectsPerSec.OneMinuteRate",
"metadata": {
"unit": "PerSecond",
"description": "A meter that provides the number of recent ZooKeeper client disconnects.",
"displayName": "Kafka Server - ZooKeeper disconnects"
}
},
{
"key": "kafka.server.SessionExpireListener.ZooKeeperExpiresPerSec.OneMinuteRate",
"metadata": {
"unit": "PerSecond",
"description": "The number of ZooKeeper sessions that have expired.",
"displayName": "Kafka Server - ZooKeeper expires"
}
},
{
"key": "kafka.server.active-connections",
"metadata": {
"unit": "Count",
"description": "The number of currently open connections to the broker.",
"displayName": "Kafka Server - Zookeeper Active Connections"
}
}
]
},
"controller-metrics": {
"metrics": [
{
"key": "kafka.controller.KafkaController.OfflinePartitionsCount",
"metadata": {
"unit": "Count",
"description": "The number of partitions that don't have an active leader and are therefore not writable or readable.",
"displayName": "Kafka Controller - Offline partitions"
}
},
{
"key": "kafka.controller.KafkaController.ActiveControllerCount.Value",
"metadata": {
"unit": "Count",
"description": "Indicates whether the broker is the controller broker.",
"displayName": "Kafka Controller - Active cluster controllers"
}
}
]
}
},
"minDynatraceVersion": "1.273.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "With Dynatrace, you can get observability for Kafka without touching any code, thanks to automatic monitoring. Seamless end-to-end traces for connected producer and consumer clients allow you to diagnose anomalies and pinpoint the root cause of the broken code before your customers are affected. Comprehensive metrics give you insight into your Kafka servers with health and performance metrics for brokers, topics, producers, and consumers. Events point you to critical anomalies, reducing the mean repair time."
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "* Capture every message across tiers without blind spots.\n* Improve the performance of your producer and consumer services end-to-end.\n* Troubleshoot asynchronous service problems across your stack proactively.\n* Prevent message processing anomalies to reduce the mean time to repair.\n* Monitor the health and performance of all your brokers and topics.\n* Understand your consumer lag."
},
"sourceId": "use_cases"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "### Messaging clients (applications)\n\n#### To get trace insight:\n\n1. [Install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on the virtual machine or server of your messaging clients (applications).\n2. [Set up Dynatrace on Kubernetes or OpenShift](https://www.dynatrace.com/support/help/shortlink/full-stack-dto-k8) for your messaging client (application) workloads.\n3. Activate the following OneAgent features:\n * Java Kafka\n * Java Kafka Streams\n * Spring for Apache Kafka\n * Node.js KafkaJs\n * .NET Messaging Apache Kafka\n\nTo get log insight:\n* [Activate log monitoring](https://www.dynatrace.com/support/help/shortlink/log-monitoring-hub-v2).\n\n\n### Messaging servers (brokers)\n\n#### Prerequisites:\n* Kafka broker, producer and consumer running on a [supported Linux or Windows operating system](https://www.dynatrace.com/support/help/shortlink/section-technology-support#operating-systems).\n* OneAgent version 1.270+\n* Dynatrace version 1.270+\n\nTo get metric insight:\n\n1. [Install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on the virtual machine or server of your Kafka broker process.\n2. Ensure your Kafka broker, producer and consumer processes are monitored.\n3. Activate the OneAgent feature `Java Metric Extensions 2.0 (JMX)`.\n4. Select in Dynatrace **Add to environment** to configure the extension.\n5. Open the **Apache Kafka Overview** dashboard."
},
"sourceId": "get_started"
},
{
"type": "markdown",
"properties": {
"title": "Extension",
"source": "With the Kafka extension, you can get additional insight into your Kafka server with metrics for brokers, topics, producers, consumers, and more. The extension also provides alerts for the most critical metrics. It creates a custom topology and entities for brokers, topics, producers, and consumers. It provides a dashboard for easier access and configuration of the extension and its entities.\n\nThe extension will gather different metrics depending on if it's monitoring a Kafka broker, producer or consumer. Make sure to activate the extension on all of them to get all metrics.\n\n### Requirements\n- OneAgent version 1.270+\n- Dynatrace version 1.270+\n- OneAgent feature `Java Metric Extensions 2.0 (JMX)` activated\n\n### Topic filtering\nThe extension has one single variable called `Topic name filter`, which can be used to filter the topics that will be monitored by this extension. This filter will be applied to every metric with a topic dimension. It uses the [ObjectName](https://docs.oracle.com/en/java/javase/11/docs/api/java.management/javax/management/ObjectName.html) java notation, meaning it accepts wildcards such as `*` and `?`.\n\nSelect **Add to environment** to get started."
},
"sourceId": "blocks_0"
}
],
"modified": "2025-03-11T14:44:29.601100Z",
"created": "2020-08-14T07:46:17.895000Z",
"seo_title": "Apache Kafka monitoring & observability",
"seo_description": "Automatic and intelligent observability for Apache Kafka with trace and metric insights. Start your free trial today!",
"customer_story": null,
"marketing_related_content": [],
"screenshots": [
"https://dt-cdn.net/hub/Hardeningkafka1.png",
"https://dt-cdn.net/hub/hardeningkafka2.png",
"https://dt-cdn.net/hub/hardeningkafka3.png",
"https://dt-cdn.net/hub/hardeningkafka4.png",
"https://dt-cdn.net/hub/hardeningkafka5.png",
"https://dt-cdn.net/hub/hardeningkafka6.png",
"https://dt-cdn.net/hub/hardeningkafka7.png",
"https://dt-cdn.net/hub/hardeningkafka8.png"
],
"about": "With Dynatrace, you can get observability for Kafka without touching any code, thanks to automatic monitoring. Seamless end-to-end traces for connected producer and consumer clients allow you to diagnose anomalies and pinpoint the root cause of the broken code before your customers are affected. Comprehensive metrics give you insight into your Kafka servers with health and performance metrics for brokers, topics, producers, and consumers. Events point you to critical anomalies, reducing the mean repair time.",
"use_cases": "* Capture every message across tiers without blind spots.\n* Improve the performance of your producer and consumer services end-to-end.\n* Troubleshoot asynchronous service problems across your stack proactively.\n* Prevent message processing anomalies to reduce the mean time to repair.\n* Monitor the health and performance of all your brokers and topics.\n* Understand your consumer lag.",
"supported_distributions": "",
"get_started": "### Messaging clients (applications)\n\n#### To get trace insight:\n\n1. [Install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on the virtual machine or server of your messaging clients (applications).\n2. [Set up Dynatrace on Kubernetes or OpenShift](https://www.dynatrace.com/support/help/shortlink/full-stack-dto-k8) for your messaging client (application) workloads.\n3. Activate the following OneAgent features:\n * Java Kafka\n * Java Kafka Streams\n * Spring for Apache Kafka\n * Node.js KafkaJs\n * .NET Messaging Apache Kafka\n\nTo get log insight:\n* [Activate log monitoring](https://www.dynatrace.com/support/help/shortlink/log-monitoring-hub-v2).\n\n\n### Messaging servers (brokers)\n\n#### Prerequisites:\n* Kafka broker, producer and consumer running on a [supported Linux or Windows operating system](https://www.dynatrace.com/support/help/shortlink/section-technology-support#operating-systems).\n* OneAgent version 1.270+\n* Dynatrace version 1.270+\n\nTo get metric insight:\n\n1. [Install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on the virtual machine or server of your Kafka broker process.\n2. Ensure your Kafka broker, producer and consumer processes are monitored.\n3. Activate the OneAgent feature `Java Metric Extensions 2.0 (JMX)`.\n4. Select in Dynatrace **Add to environment** to configure the extension.\n5. Open the **Apache Kafka Overview** dashboard."
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.jmx-kafka@2.1.0",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "2.1.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-2.1.0-ad45b1c9ca33188499e5.zip",
"release_notes": "- Added new variable `Topic name filter` which can be used to filter out the topics that will be monitored.",
"created": "2025-03-11T14:44:39.619108Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@2.0.0",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "2.0.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-2.0.0_FUGzYNy.zip",
"release_notes": "#### 🚀 Improved in this version:\n\n- **[🔴 Breaking change]** Refactored entity creation for **consumers** and **producers**. The dimension `client-id` is no longer used to generate these entities but only the `process_group_instance`and the `host` will be considered. This will generate new entity IDs for all your existing consumers and producers, which **will break any configuration (metric events, dashboards, etc.) that use those individual IDs**. The name of these entities will also change, as it was based on the `client-id`previously.\n- Charts in consumers and producers have been changed to show metrics per `client-id`, instead of per entity.\n- Added descriptions to all extension metrics\n\n#### ✨ New in this version:\n\n- Added 8 new metrics related to the Kafka Connector.\n\n#### 🐛 Fixed in this version:\n\n- As `client-id` is no longer used for generating consumer and producer entities, we no longer run into the entity dimension limitation that prevented new data from being ingested.",
"created": "2024-11-14T15:04:03.202774Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.1.2",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.1.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.1.2_JrpvJbi.zip",
"release_notes": "- Broker now uses the hostname instead of the host ID, when available.\n- Entity lists for broker, producer and consumer now show the host and the process they are related to, as well as allowing you to filter by those entities.\n- Removed any reference to zookeeper metrics or entities. To get insight into Zookeeper, activate [the recently released standalone extension](https://www.dynatrace.com/hub/detail/apache-zookeeper).",
"created": "2024-03-20T15:25:25.986892Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.0.8",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.0.8",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.0.8_TOXoFFA.zip",
"release_notes": "- Changed the name of the out-of-the-box alerts to include the word **Kafka** in the title for increased accessibility.\n- Added the following metrics under the **zookeeper-metrics** feature set:\n - kafka.zookeeper.server.maxRequestLatency\n - kafka.zookeeper.server.minRequestLatency\n - kafka.zookeeper.server.avgRequestLatency\n - kafka.zookeeper.server.aliveConnections\n - kafka.zookeeper.server.packetsReceived.count\n - kafka.zookeeper.server.packetsSent.count\n - kafka.zookeeper.server.outstandingRequests\n- Added custom topology for the zookeeper\n- Added UA screens for the zookeeper\n- Modified the out-of-the-box dashboard to include data about the zookeeper",
"created": "2024-02-06T14:44:14.981776Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.0.7",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.0.7",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.0.7_smwwJw8.zip",
"release_notes": "- Added a new metric **kafka.consumer.consumer-metrics.records-lag** to show latest consumer lag instead of the already available consumer lag average and maximum.\n- Removed the **status** dimension from the **kafka.connector.status** and **kafka.connector.task.status** as the framework is not ready to report such dimensions. The metrics now report 1 when the status is **running** or 0 otherwise.",
"created": "2023-11-20T17:41:57.024406Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.0.5",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.0.5",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.0.5_nMf9gaX.zip",
"release_notes": "- Fixed a bug where **consumer-fetch-manager-metrics** where not being captured correctly.\n- Added connector task status to metrics.\n- Replace entity lists for Host and Process Group Instance with properties in broker, consumer and producer screens.",
"created": "2023-09-26T14:23:42.209133Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.0.4",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.0.4",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.0.4_XQVbLr1.zip",
"release_notes": "- Fixed a bug where metrics for **kafka.consumer:type=consumer-fetch-manager-metrics** where not being populated:\n - kafka.consumer.consumer-metrics.records-lag-avg\n - kafka.consumer.consumer-metrics.records-lag-max\n - kafka.consumer.consumer-metrics.records-consumed-rate\n - kafka.consumer.consumer-metrics.bytes-consumed-rate\n - kafka.consumer.consumer-metrics.fetch-latency-avg",
"created": "2023-09-22T08:50:29.027127Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.0.3",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.0.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.0.3_lPkG3qW.zip",
"release_notes": "- Add topic dimension to existing metrics:\n - kafka.server.BrokerTopicMetrics.BytesInPerSec.OneMinuteRate\n - kafka.server.BrokerTopicMetrics.BytesOutPerSec.OneMinuteRate\n - kafka.server.BrokerTopicMetrics.MessagesInPerSec.OneMinuteRate\n - kafka.server.BrokerTopicMetrics.TotalProduceRequestsPerSec.OneMinuteRate\n- Add new metrics:\n - kafka.server.BrokerTopicMetrics.TotalFollowerFetchRequestsPerSec.OneMinuteRate\n - kafka.server.BrokerTopicMetrics.ProduceMessageConversionsPerSec.OneMinuteRate\n- Modified UA screens to include the metrics and dimensions listed above:\n - Kafka Broker screen\n - Kafka Topic screen\n - Host injected tile\n - Process Group Instance injected tile",
"created": "2023-09-15T10:56:02.053436Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.0.1",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.0.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.0.1_0rRcYqQ.zip",
"release_notes": "- Kafka Server - Current follower lag: Fixed typo in metric key, changed from **kafka.server.FetcherLagMetrics.CosumerLag.Value** to **kafka.server.FetcherLagMetrics.ConsumerLag.Value** \n - This is a breaking change if you're using this metric in dashboards, metric events or other configurations. You will need to reference the new key.\n- Added connector status metric\n- Added primary entity for most metrics\n- Added navigation card to all screens",
"created": "2023-08-10T12:12:30.168074Z"
},
{
"name": "com.dynatrace.extension.jmx-kafka@1.0.0",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "1.0.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-1.0.0_CQNFBFf.zip",
"release_notes": "",
"created": "2023-05-09T08:09:17.242833Z"
}
],
"related_technologies": [],
"latest_downloads": [
{
"name": "com.dynatrace.extension.jmx-kafka@2.1.0",
"fqn": "com.dynatrace.extension.jmx-kafka",
"version": "2.1.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.jmx-kafka/com.dynatrace.extension.jmx-kafka-2.1.0-ad45b1c9ca33188499e5.zip",
"release_notes": "- Added new variable `Topic name filter` which can be used to filter out the topics that will be monitored.",
"created": "2025-03-11T14:44:39.619108Z"
}
]
},
{
"id": 108,
"slug": "blazemeter",
"title": "Blazemeter",
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"source": "**Prerequisites:**\n- Either : \n - Dynatrace OneAgent installed on your MongoDB Server\n - Dynatrace ActiveGate installed and with network access to your MongoDB Server\n- MongoDB User with `serverStatus@admin`, `listDatabases` and `dbStats` permissions.\n - The MongoDB Built In Cluster Monitor Role has these permissions already set up.\n\n\n1. After the prerequisites are done, enable the extension via the Dynatrace Hub\n1. Choose to monitor remotely via an ActiveGate group or locally via the OneAgent \n1. Enter in configuration and credentials \n1. Review data in included Dashboard"
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"source": "Along with the username and password you can configure the extension to : \n- Use a different Authentication Database (Sets the `authSource` property in the connection string)\n- Add a path to a CA PEM File (Sets the `tlsCAFile` argument of the MongoClient) \n - **Note: This file path needs to be accessible on all ActiveGates in the group or locally on the OneAgent Host**\n- Select between MongoDB Auth Mechanisms - `SCRAM-SHA-1`, `SCRAM-SHA-256`, `PLAIN`, `DEFAULT`\n - If no mechanism is specified, PyMongo automatically uses SCRAM-SHA-1 when connected to MongoDB 3.6 and negotiates the mechanism to use (SCRAM-SHA-1 or SCRAM-SHA-256) when connected to MongoDB 4.0+."
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"source": "### **Q: What is the Custom Metric Usage of this extension?**\n\nA: The formula for consumption of the extension is:\n\nNote : Activating the extension locally would consume the [included metrics per host unit](https://docs.dynatrace.com/docs/manage/monitoring-consumption-classic/davis-data-units/metric-cost-calculation#metrics-per-host-unit)\n\n```\nPer connected process/port -> (17 + 5 * <# of Databases>)\n```"
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"name": "com.dynatrace.extension.aws-ms-entities",
"author": {
"name": "Dynatrace"
},
"version": "0.2.0",
"fileHash": "d53297ab03c8941612eadcbe01bd64b65d115e162bcc303681429975f12268ad",
"variables": [],
"assetsInfo": [
{
"count": 1,
"assetType": "screen-chart-groups"
},
{
"count": 84,
"assetType": "generic-relationship"
},
{
"count": 84,
"assetType": "screen-layout"
},
{
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"assetType": "generic-type"
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{
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"assetType": "screen-entities-lists"
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"featureSets": [],
"extensionName": "com.dynatrace.extension.aws-ms-entities",
"minEECVersion": "1.274.0",
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"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "### Entities for AWS Metric Streaming\nThis Dynatrace extension provides a way to analyse metrics from Dynatrace AWS Metric Streaming in the context of an entity.\n\n\n### Supported services\n\n#### Analytics\n- Amazon Athena\n- Amazon CloudSearch\n- Amazon Data Firehose\n- Amazon Elastic Map Reduce\n- AWS Glue\n- Amazon Managed Streaming for Kafka\n- Amazon Elasticsearch (OpenSearch) Service\n- Amazon Redshift\n#### Application Integration\n- Amazon EventBridge\n- Amazon MQ\n- Amazon Simple Notification Service\n- Amazon Simple Queue Service\n- AWS Step Functions\n- Amazon SWF\n#### Business Applications\n- Amazon Connect\n- Amazon Simple Email Service\n- Amazon WorkMail\n#### Compute\n- AWS Lambda\n- AWS App Runner\n- AWS Elastic Beanstalk\n#### Containers\n- Amazon Elastic Container Service\n- Amazon Elastic Kubernetes Service\n#### Developer Tools\n- AWS CodeBuild\n#### Database Services\n- Amazon Keyspaces\n- Amazon DocumentDB\n- Amazon DynamoDB\n- Amazon DynamoDB Accelerator\n- Amazon ElastiCache\n- Amazon Neptune\n- Amazon QLDB\n#### RDS\n- Amazon RDS Instance\n- Amazon RDS Cluster\n#### EC2\n- Amazon EC2\n- Amazon EC2 Spot Fleet\n- Amazon EC2 Auto Scaling\n- Amazon EBS\n#### Load Balancing\n- Amazon ApplicationELB\n- Amazon ELB\n- Amazon NetworkELB\n#### End User Computing\n- AWS AppStream 2.0\n- Amazon WorkSpaces\n#### Front-end Web & Mobile\n- AWS AppSync\n#### Game Development\n- Amazon GameLift\n#### Internet of Things\n- AWS Internet of Things\n#### Machine Learning\n- Amazon Lex\n- Amazon Polly\n- Amazon SageMaker Batch Transform Jobs\n- Amazon SageMaker Endpoints\n- Amazon SageMaker Processing Jobs\n- Amazon SageMaker Training Jobs\n- Amazon Elastic Inference\n#### Management & Governance\n- AWS Chatbot\n- Amazon CloudWatch Logs\n- AWS OpsWorks\n- AWS Service Catalog\n- AWS Trusted Advisor\n#### Media Services\n- Amazon Elastic Transcoder\n- AWS Elemental MediaConnect\n- AWS Elemental MediaConvert\n- AWS Elemental MediaPackage Live\n- AWS Elemental MediaPackage Video on Demand\n- AWS Elemental MediaTailor\n#### Migration & Transfer\n- AWS Database Migration Service\n- AWS DataSync\n- AWS Transfer Family\n#### Networking & Content Delivery\n- Amazon API Gateway\n- Amazon CloudFront\n- AWS Direct Connect\n- Amazon Route 53\n- Amazon Route 53 Resolver\n- Amazon VPC NAT Gateways\n- AWS Transit Gateway\n- AWS Site-to-Site VPN\n#### Robotics\n- AWS RoboMaker\n#### Security, Identity & Compliance\n- AWS CloudHSM\n- AWS Certificate Manager Private Certificate Authority\n- AWS WAF Classic\n- AWS WAFV2\n#### Storage\n- Amazon Elastic File System\n- Amazon FSx\n- Amazon S3\n- AWS Storage Gateway"
},
"sourceId": "about"
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{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "**To set up AWS CloudWatch Metric Streams on your environment:**\n\n- Follow the instructions detailed in Dynatrace [Documentation](https://www.dynatrace.com/support/help/shortlink/aws-metric-streams). (Ignore the “Add to environment” button below.)\n\n**To activate the extension:**\n\n- Add the extension to your environment by clicking the \"Add to environment\" button"
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"sourceId": "get_started"
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{
"type": "markdown",
"properties": {
"title": "Details",
"source": "This extension package contains:\n* Topology mapping and service instance analysis view"
},
"sourceId": "details"
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{
"type": "markdown",
"properties": {
"title": "Compatibility information",
"source": "Dynatrace version 1.274+"
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],
"modified": "2024-07-10T06:41:44.275006Z",
"created": "2023-10-06T07:27:10.641873Z",
"seo_title": "AWS Entities for Metric Streaming monitoring & observability",
"seo_description": "Analyse metrics in the context of an entity based on AWS Metric Streaming. Start your free trial today!",
"customer_story": {
"quote": "Dynatrace has put us in a terrific position to gain more metrics and value from our investment in AWS and we are now rapidly accelerating our workloads based on this confidence.",
"person": {
"name": "Grey Properjohn",
"title": "Manager, Head of Software Engineering and Architecture, RWWA"
},
"company": {
"logo": null,
"title": "RWWA"
},
"link_to": {
"href": "https://www.dynatrace.com/customers/rwwa/",
"target": null,
"href_text": "Read Customer Story"
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},
"marketing_related_content": [],
"screenshots": [
"https://dt-cdn.net/hub/Screenshot_2024-07-03_143353.png",
"https://dt-cdn.net/hub/Screenshot_2024-07-03_144625_IhfJcaV.png",
"https://dt-cdn.net/hub/Screenshot_2024-07-03_144829_wA408Z1.png",
"https://dt-cdn.net/hub/Screenshot_2024-07-03_145035.png"
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"about": "### Entities for AWS Metric Streaming\nThis Dynatrace extension provides a way to analyse metrics from Dynatrace AWS Metric Streaming in the context of an entity.\n\n\n### Supported services\n\n#### Analytics\n- Amazon Athena\n- Amazon CloudSearch\n- Amazon Data Firehose\n- Amazon Elastic Map Reduce\n- AWS Glue\n- Amazon Managed Streaming for Kafka\n- Amazon Elasticsearch (OpenSearch) Service\n- Amazon Redshift\n#### Application Integration\n- Amazon EventBridge\n- Amazon MQ\n- Amazon Simple Notification Service\n- Amazon Simple Queue Service\n- AWS Step Functions\n- Amazon SWF\n#### Business Applications\n- Amazon Connect\n- Amazon Simple Email Service\n- Amazon WorkMail\n#### Compute\n- AWS Lambda\n- AWS App Runner\n- AWS Elastic Beanstalk\n#### Containers\n- Amazon Elastic Container Service\n- Amazon Elastic Kubernetes Service\n#### Developer Tools\n- AWS CodeBuild\n#### Database Services\n- Amazon Keyspaces\n- Amazon DocumentDB\n- Amazon DynamoDB\n- Amazon DynamoDB Accelerator\n- Amazon ElastiCache\n- Amazon Neptune\n- Amazon QLDB\n#### RDS\n- Amazon RDS Instance\n- Amazon RDS Cluster\n#### EC2\n- Amazon EC2\n- Amazon EC2 Spot Fleet\n- Amazon EC2 Auto Scaling\n- Amazon EBS\n#### Load Balancing\n- Amazon ApplicationELB\n- Amazon ELB\n- Amazon NetworkELB\n#### End User Computing\n- AWS AppStream 2.0\n- Amazon WorkSpaces\n#### Front-end Web & Mobile\n- AWS AppSync\n#### Game Development\n- Amazon GameLift\n#### Internet of Things\n- AWS Internet of Things\n#### Machine Learning\n- Amazon Lex\n- Amazon Polly\n- Amazon SageMaker Batch Transform Jobs\n- Amazon SageMaker Endpoints\n- Amazon SageMaker Processing Jobs\n- Amazon SageMaker Training Jobs\n- Amazon Elastic Inference\n#### Management & Governance\n- AWS Chatbot\n- Amazon CloudWatch Logs\n- AWS OpsWorks\n- AWS Service Catalog\n- AWS Trusted Advisor\n#### Media Services\n- Amazon Elastic Transcoder\n- AWS Elemental MediaConnect\n- AWS Elemental MediaConvert\n- AWS Elemental MediaPackage Live\n- AWS Elemental MediaPackage Video on Demand\n- AWS Elemental MediaTailor\n#### Migration & Transfer\n- AWS Database Migration Service\n- AWS DataSync\n- AWS Transfer Family\n#### Networking & Content Delivery\n- Amazon API Gateway\n- Amazon CloudFront\n- AWS Direct Connect\n- Amazon Route 53\n- Amazon Route 53 Resolver\n- Amazon VPC NAT Gateways\n- AWS Transit Gateway\n- AWS Site-to-Site VPN\n#### Robotics\n- AWS RoboMaker\n#### Security, Identity & Compliance\n- AWS CloudHSM\n- AWS Certificate Manager Private Certificate Authority\n- AWS WAF Classic\n- AWS WAFV2\n#### Storage\n- Amazon Elastic File System\n- Amazon FSx\n- Amazon S3\n- AWS Storage Gateway",
"use_cases": "",
"supported_distributions": "Dynatrace version 1.274+",
"get_started": "**To set up AWS CloudWatch Metric Streams on your environment:**\n\n- Follow the instructions detailed in Dynatrace [Documentation](https://www.dynatrace.com/support/help/shortlink/aws-metric-streams). (Ignore the “Add to environment” button below.)\n\n**To activate the extension:**\n\n- Add the extension to your environment by clicking the \"Add to environment\" button"
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.aws-ms-entities@0.2.0",
"fqn": "com.dynatrace.extension.aws-ms-entities",
"version": "0.2.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.aws-ms-entities/com.dynatrace.extension.aws-ms-en_TABLdGN.zip",
"release_notes": "### Version 0.2.0\n\n### New Features\n- support for new service `Amazon Data Firehose`\n\n### Fixed\n- added attributes: `aws_service`, `aws_arn`\n- changed attribute `aws_resource_type` values for all services\n- changed `aws_service` attribute value for `Amazon ApplicationELB` from `ALB` to `Amazon ApplicationELB`\n- fixed wrong entity type in S3 Bucket cards on Unified Analysis screen, the card is now shown properly\n- fixed typo in AWS Lambda attributes and breadcrumbs navigation\n\n### Breaking changes\n- **AWS Account** (entity name: `cloud:aws:account`)\n - changed `idPattern` from `arn:aws:{aws.account.id}` to `arn:aws:account::{aws.account.id}:account`\n- **Amazon API Gateway** (entity name: `cloud:aws:api_gateway:api`)\n - changed `idPattern` from `arn:aws:apigateway:{aws.region}:restapis:{apiname}` to `arn:aws:apigateway:{aws.account.id}:{aws.region}::/restapis/{apiname}`\n - changed `name` from `cloud:aws:api_gateway:apiname` to `cloud:aws:api_gateway:api`\n- **Amazon ApplicationELB** (entity name: `cloud:aws:applicationelb:loadbalancer`)\n - changed `idPattern` from `arn:aws:applicationelb:{aws.region}:{aws.account.id}:loadbalancer:{loadbalancer}` to `arn:aws:elasticloadbalancing:{aws.region}:{aws.account.id}:loadbalancer/{loadbalancer}`\n- **AWS App Runner** (entity name: `cloud:was:app_runner_service`)\n - changed `idPattern` from `arn:aws:apprunner:{aws.region}:{aws.account.id}:service:{servicename}:{serviceid}` to `arn:aws:apprunner:{aws.region}:{aws.account.id}:service/{servicename}/{serviceid}`\n - changed `name` from `cloud:aws:app_runner:servicename` to `cloud:aws:app_runner:service`\n- **Amazon AppStream 2.0 (formerly Amazon AppStream)** (entity name: `cloud:aws:appstream:fleet`)\n - changed `idPattern` from `arn:aws:appstream:{aws.region}:{aws.account.id}:fleet:{fleet}` to `arn:aws:appstream:{aws.region}:{aws.account.id}:fleet/{fleet}`\n- **AWS AppSync** (entity name: `cloud:aws:appsync:graphqlapi`)\n - changed `idPattern` from `arn:aws:appsync:{aws.region}:{aws.account.id}:apis:{graphqlapiid}` to `arn:aws:appsync:{aws.region}:{aws.account.id}:apis/{graphqlapiid}`\n - changed `name` from `cloud:aws:appsync:graphqlapiid` to `cloud:aws:appsync:graphqlapi`\n- **Amazon Athena** (entity name: `cloud:aws:athena:workgroup`)\n - changed `idPattern` from `arn:aws:athena:{aws.region}:{aws.account.id}:workgroup:{workgroup}` to `arn:aws:athena:{aws.region}:{aws.account.id}:workgroup/{workgroup}`\n- **AWS Billing** (entity name: `cloud:aws:billing:service`)\n - changed `name` from `cloud:aws:billing:servicename` to `cloud:aws:billing:service`\n- **AWS Certificate Manager Private Certificate Authority** (entity name: `cloud:aws:acmprivateca:certificateauthority`)\n - changed `idPattern` from `arn:aws:acm-pca:{aws.region}:{aws.account.id}:certificate-authority:{certificateauthorityid}` to `arn:aws:acm-pca:{aws.region}:{aws.account.id}:certificate-authority/{certificateauthorityid}`\n - changed `name` from `cloud:aws:acmprivateca:certificateauthorityid` to `cloud:aws:acmprivateca:certificateauthority`\n- **AWS Chatbot** (entity name: `cloud:aws:chatbot:configuration`)\n - changed `idPattern` from `arn:aws:chatbot:{aws.account.id}:chat-configuration:{configurationtype}:{configurationname}` to `arn:aws:chatbot:{aws.account.id}:chat-configuration/{configurationtype}/{configurationname}`\n - changed `name` from `cloud:aws:chatbot:configurationname` to `cloud:aws:chatbot:configuration`\n- **Amazon CloudFront** (entity name: `cloud:aws:cloudfront:distribution`)\n - changed `idPattern` from `arn:aws:cloudfront:{aws.account.id}:distribution:{distributionid}` to `arn:aws:cloudfront:{aws.account.id}:distribution/{distributionid}`\n - changed `name` from `cloud:aws:cloud_front:distributionid` to `cloud:aws:cloud_front:distribution`\n- **AWS CloudHSM** (entity name: `cloud:aws:cloudhsm:cluster`)\n - changed `idPattern` from `arn:aws:cloudhsm:{aws.region}:{aws.account.id}:cluster:{clusterid}` to `arn:aws:cloudhsm:{aws.region}:{aws.account.id}:cluster/{clusterid}`\n - changed `name` from `cloud:aws:cloudhsm:clusterid` to `cloud:aws:cloudhsm:cluster`\n- **Amazon CloudSearch** (entity name: `cloud:aws:cloudsearch:domain`)\n - changed `idPattern` from `arn:aws:cloudsearch:{aws.region}:{aws.account.id}:domain:{domainname}` to `arn:aws:cloudsearch:{aws.region}:{aws.account.id}:domain/{domainname}`\n - changed `name` from `cloud:aws:cloudsearch:domainname` to `cloud:aws:cloudsearch:domain`\n- **Amazon CloudWatch Logs** (entity name: `cloud:aws:logs:log-group`)\n - changed `name` from `cloud:aws:logs:loggroupname` to `cloud:aws:logs:log-group`\n- **AWS CodeBuild** (entity name: `cloud:aws:codebuild:project`)\n - changed `idPattern` from `arn:aws:codebuild:{aws.region}:{aws.account.id}:project:{projectname}` to `arn:aws:codebuild:{aws.region}:{aws.account.id}:project/{projectname}`\n - changed `name` from `cloud:aws:codebuild:projectname` to `cloud:aws:codebuild:project`\n- **Amazon Connect** (entity name: `cloud:aws:connect:instance`)\n - changed `idPattern` from `arn:aws:connect:{aws.region}:{aws.account.id}:instance:{instanceid}` to `arn:aws:connect:{aws.region}:{aws.account.id}:instance/{instanceid}`\n - changed `name` from `cloud:aws:connect:instanceid` to `cloud:aws:connect:instance`\n- **AWS Database Migration Service (formerly Amazon Database Migration Service)** (entity name: `cloud;aws:dms:replicationinstance`)\n - changed `idPattern` from `arn:aws:dms:{aws.region}:{aws.account.id}:rep:{apiid}` to `arn:aws:dms:{aws.region}:{aws.account.id}:rep:{replicationinstanceidentifier}`\n - changed `name` from `cloud:aws:dms:replicationinstanceidentifier` to `cloud:aws:dms:replicationinstance`\n- **AWS DataSync** (entity name: `cloud:aws:datasync:task`)\n - changed `idPattern` from `arn:aws:datasync:{aws.region}:{aws.account.id}:task:{taskid}` to `arn:aws:datasync:{aws.region}:{aws.account.id}:task/{taskid}`\n - changed `name` from `cloud:aws:datasync:taskid` to `cloud:aws:datasync:task`\n- **AWS Direct Connect** (entity name: `cloud:aws:dxcon:connection`)\n - changed `idPattern` from `arn:aws:rds:{aws.region}:{aws.account.id}:cluster:{dbclusteridentifier}` to `arn:aws:rds:{aws.region}:{aws.account.id}:cluster/{dbclusteridentifier}`\n - changed `name` from `cloud:aws:dxcon:connectionid` to `cloud:aws:dxcon:connection`\n- **Amazon DocumentDB** (entity name: `cloud:aws:documentdb:dbcluster`)\n - changed `idPattern` from `arn:aws:rds:{aws.region}:{aws.account.id}:cluster:{dbclusteridentifier}` to `arn:aws:rds:{aws.region}:{aws.account.id}:cluster/{dbclusteridentifier}`\n - changed `name` from `cloud:aws:documentdb:dbclusteridentifier` to `cloud:aws:documentdb:dbcluster`\n- **Amazon DynamoDB** (entity name: `cloud:aws:dax:cluster`)\n - changed `idPattern` from `arn:aws:dax:{aws.region}:{aws.account.id}:cache:{clusterid}` to `arn:aws:dax:{aws.region}:{aws.account.id}:cache/{clusterid}`\n - changed `name` from `cloud:aws:dynamodb:tablename` to `cloud:aws:dynamodb:table`\n- **Amazon DynamoDB Accelerator** (entity name: `cloud:aws:dax:cluster`)\n - changed `name` from `cloud:aws:dax:clusterid` to `cloud:aws:dax:cluster`\n- **Amazon DynamoDB** (entity name: `cloud:aws:dynamodb:table`)\n - changed `idPattern` from `arn:aws:dynamodb:{aws.region}:{aws.account.id}:table:{tablename}` to `arn:aws:dynamodb:{aws.region}:{aws.account.id}:table/{tablename}`\n- **Amazon EBS** (entity name: `cloud:aws:ebs:volume`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:volume:{volumeid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:volume/{volumeid}`\n - changed `name` from `cloud:aws:ebs:volumeid` to `cloud:aws:ebs:volume`\n- **Amazon EC2** (entity name: `cloud:aws:ec2:instance`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:volume:{volumeid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:volume/{volumeid}`\n - changed `name` from `cloud:aws:ec2:instanceid` to `cloud:aws:ec2:instance`\n- **Amazon EC2 Auto Scaling** (entity name: `cloud:aws:autoscaling:autoscalinggroup`)\n - changed `idPattern` from `arn:aws:autoscaling:{aws.region}:{aws.account.id}:autoscalinggroup:{groupid}:autoscalinggroupname:{autoscalinggroupname}` to `arn:aws:autoscaling:{aws.region}:{aws.account.id}:autoscalinggroup:{groupid}:autoscalinggroupname/{autoscalinggroupname}`\n - changed `name` from `cloud:aws:autoscaling:autoscalinggroupname` to `cloud:aws:autoscaling:autoscalinggroup`\n- **Amazon EC2 Spot Fleet** (entity name: `cloud:aws:ec2_spot:fleetrequest`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:spot-instances-request:{fleetrequestid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:spot-instances-request/{fleetrequestid}`\n - changed `name` from `cloud:aws:ec2_spot:fleetrequestid` to `cloud:aws:ec2_spot:fleetrequest`\n- **AWS Elastic Beanstalk** (entity name: `cloud:aws:elasticbeanstalk:environment`)\n - changed `idPattern` from `arn:aws:elasticbeanstalk:{aws.region}:{aws.account.id}:environment:{environmentname}` to `arn:aws:elasticbeanstalk:{aws.region}:{aws.account.id}:environment/{applicationname}/{environmentname}`\n - changed `name` from `cloud:aws:elasticbeanstalk:environmentname` to `cloud:aws:elasticbeanstalk:environment`\n- **Amazon ElastiCache** (entity name: `cloud:aws:elasticache:cachecluster`)\n - changed `name` from `cloud:aws:elasticache:cacheclusterid` to `cloud:aws:elasticache:cachecluster`\n- **Amazon Elastic Container Service** (entity name: `cloud:aws:ecs:metric_streams:cluster`)\n - changed `idPattern` from `arn:aws:ecs:{aws.region}:{aws.account.id}:cluster:{clustername}` to `arn:aws:ecs:{aws.region}:{aws.account.id}:cluster/{clustername}`\n - changed `name` from `cloud:aws:ecs:clustername` to `cloud:aws:metric_streams:cluster`\n- **Amazon Elastic File System** (entity name: `cloud:aws:efs:filesystem`)\n - changed `idPattern` from `arn:aws:elasticfilesystem:{aws.region}:{aws.account.id}:file-system:{filesystemid}` to `arn:aws:elasticfilesystem:{aws.region}:{aws.account.id}:file-system/{filesystemid}`\n - changed `name` from `cloud:aws:efs:filesystemid` to `cloud:aws:efs:filesystem`\n- **Amazon Elastic Inference** (entity name: `cloud:aws:elasticinference:instance`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:instance:{instanceid}` to `arn:aws:elastic-inference:{aws.region}:{aws.account.id}:elastic-inference-accelerator/{acceleratorid}`\n - changed `name` from `cloud:aws:elasticinference:instanceid` to `cloud:aws:elasticinference:instance`\n- **Amazon Elastic Kubernetes Service** (entity name: `cloud:aws:eks:cluster:cluster`)\n - changed `idPattern` from `arn:aws:eks:{aws.region}:{aws.account.id}:cluster:{clustername}` to `arn:aws:eks:{aws.region}:{aws.account.id}:cluster/{clustername}`\n - changed `name` from `cloud:aws:eks:cluster:clustername` to `cloud:aws:eks:cluster:cluster`\n- **Amazon Elastic Map Reduce** (entity name: `cloud:aws:emr:cluster`)\n - changed `idPattern` from `arn:aws:elasticmapreduce:{aws.region}:{aws.account.id}:cluster:{jobflowid}` to `arn:aws:elasticmapreduce:{aws.region}:{aws.account.id}:cluster/{clusterid}`\n - changed `name` from `cloud:aws:emr:jobflowid` to `cloud:aws:emr:cluster`\n- **Amazon Elasticsearch (OpenSearch) Service (formerly Amazon Elasticsearch Service)** (entity name: `cloud:aws:es:domain`)\n - changed `idPattern` from `arn:aws:es:{aws.region}:{aws.account.id}:domain:{domainname}` to `arn:aws:es:{aws.region}:{aws.account.id}:domain/{domainname}`\n - changed `name` from `cloud:aws:es:domainname` to `cloud:aws:es:domain`\n- **Amazon Elastic Transcoder** (entity name: `cloud:aws:elastictranscoder:pipeline`)\n - changed `idPattern` from `arn:aws:elastictranscoder:{aws.region}:{aws.account.id}:pipeline:{pipelineid}` to `arn:aws:elastictranscoder:{aws.region}:{aws.account.id}:pipeline/{pipelineid}`\n - changed `name` from `cloud:aws:elastictranscoder:pipelineid` to `cloud:aws:elastictranscoder:pipeline`\n- **Amazon ELB** (entity name: `cloud:aws:elb:loadbalancer`)\n - changed `idPattern` from `arn:aws:elb:{aws.region}:{aws.account.id}:loadbalancername:{loadbalancername}` to `arn:aws:elasticloadbalancing:{aws.region}:{aws.account.id}:loadbalancer/{loadbalancername}`\n - changed `name` from `cloud:aws:elb:loadbalancername` to `cloud:aws:elb:loadbalancer`\n- **AWS Elemental MediaConnect** (entity name: `cloud:aws:mediaconnect:flow`)\n - changed `name` from `cloud:aws:mediaconnect:flowarn` to `cloud:aws:mediaconnect:flow`\n- **AWS Elemental MediaConvert (formerly: Amazon MediaConvert)** (entity name: `cloud:aws:mediaconvert:queue`)\n - changed `idPattern` from `arn:aws:mediaconvert:{aws.region.id}:{aws.account.id}:queues:{queue}` to `arn:aws:mediaconvert:{aws.region.id}:{aws.account.id}:queues/{queue}`\n- **AWS Elemental MediaPackage Live (formerly Amazon MediaPackage Live)** (entity name: `cloud:aws:mediapackagelive:channel`)\n - changed `idPattern` from `arn:aws:mediapackage:{aws.region}:{aws.account.id}:channels:{id}` to `arn:aws:mediapackage:{aws.region}:{aws.account.id}:channels/{id}`\n- **AWS Elemental MediaPackage Video on Demand (formerly Amazon MediaPackage Video on Demand)** (entity name: `cloud:aws:mediapackagevod:packagingconfiguration`)\n - changed `idPattern` from `arn:aws:mediapackage-vod:{aws.region}:{aws.account.id}:packaging-configurations:{packagingconfiguration}` to `arn:aws:mediapackage-vod:{aws.region}:{aws.account.id}:packaging-configurations/{packagingconfiguration}`\n- **AWS Elemental MediaTailor (formerly Amazon MediaTailor)** (entity name: `cloud:aws:media_tailor:configuration`)\n - changed `idPattern` from `arn:aws:mediatailor:{aws.region}:{aws.account.id}:playbackconfiguration:{configurationname}` to `arn:aws:mediatailor:{aws.region}:{aws.account.id}:playbackconfiguration/{configurationname}`\n - changed `name` from `cloud:aws:media_tailor:configurationname` to `cloud:aws:media_tailor:configuration`\n- **Amazon EventBridge** (entity name: `cloud:aws:events:eventbus`)\n - changed `idPattern` from `arn:aws:events:{aws.region}:{aws.account.id}:event-bus:{eventbusname}` to `arn:aws:events:{aws.region}:{aws.account.id}:event-bus/{eventbusname}`\n - changed `name` from `cloud:aws:events:eventbusname` to `cloud:aws:events:eventbus`\n- **Amazon FSx** (entity name: `cloud:aws:fsx:filesystem`)\n - changed `idPattern` from `arn:aws:fsx:{aws.region}:{aws.account.id}:filesystemid:{filesystemid}` to `arn:aws:fsx:{aws.region}:{aws.account.id}:file-system/{filesystemid}`\n - changed `name` from `cloud:aws:fsx:filesystemid` to `cloud:aws:fsx:filesystem`\n- **Amazon GameLift** (entity name: `cloud:aws:gamelift`)\n - changed `idPattern` from `arn:aws:gamelift:{aws.region}:{aws.account.id}:fleet:{fleetid}` to `arn:aws:gamelift:{aws.region}:{aws.account.id}:fleet/{fleetid}`\n - changed `name` from `cloud:aws:gamelift:fleetid` to `cloud:aws:gamelift:fleet`\n- **AWS Glue** (entity name: `cloud:aws:glue:job`)\n - changed `idPattern` from `arn:aws:glue:{aws.region}:{aws.account.id}:job:{jobname}` to `arn:aws:glue:{aws.region}:{aws.account.id}:job/{jobname}`\n - changed `name` from `cloud:aws:glue:jobname` to `cloud:aws:glue:job`\n- **AWS Internet of Things** (entity name: `cloud:aws:iot:thing`)\n - changed `idPattern` from `arn:aws:iot:{aws.region}:{aws.account.id}:thing:{thingname}` to `arn:aws:iot:{aws.region}:{aws.account.id}:thing/{thingname}`\n - changed `name` from `cloud:aws:iot:thingname` to `cloud:aws:iot:thing`\n- **Amazon Keyspaces** (entity name: `cloud:aws:cassandra:keyspace`)\n - changed `idPattern` from `arn:aws:cassandra:{aws.region}:{aws.account.id}::keyspace:{keyspace}` to `arn:aws:cassandra:{aws.region}:{aws.account.id}:/keyspace/{keyspace}`\n- **AWS Lambda (formerly Amazon Lambda)** (entity name: `cloud:aws:lambda:function`)\n - changed `name` from `cloud:aws:lambda:functionname` to `cloud:aws:lambda:function`\n- **Amazon Lex** (entity name: `cloud:aws:lex:bot`)\n - changed `name` from `cloud:aws:lex:botname` to `cloud:aws:lex:bot`\n- **Amazon Managed Streaming for Kafka** (entity name: `cloud:aws:kafka:cluster`)\n - changed `idPattern` from `arn:aws:kafka:{aws.region}:{aws.account.id}:cluster:{clusternameid}` to `arn:aws:kafka:{aws.region}:{aws.account.id}:cluster/{clusternameid}/{uuid}`\n - changed `name` from `cloud:aws:kafka:cluster_name` to `cloud:aws:kafka:cluster`\n- **Amazon MQ** (entity name: `cloud:aws:mq:broker`)\n - changed `idPattern` from `arn:aws:mq:{aws.region}:{aws.account.id}:broker:{brokerid}` to `arn:aws:mq:{aws.region}:{aws.account.id}:broker:{broker}`\n- **Amazon Neptune** (entity name: `cloud:aws:neptune:cluster`)\n - changed `name` from `cloud:aws:neptune:dbclusteridentifier` to `cloud:aws:neptune:cluster`\n- **Amazon NetworkELB** (entity name: `cloud:aws:networkelb:loadbalancer`)\n - changed `idPattern` from `arn:aws:networkelb:{aws.region}:{aws.account.id}:loadbalancer:{loadbalancer}` to `arn:aws:elasticloadbalancing:{aws.region}:{aws.account.id}:loadbalancer/{loadbalancername}`\n - changed `instanceNamePattern` from `'{loadbalancer}'` to `'{loadbalancername}'`\n- **AWS OpsWorks** (entity name: `cloud:aws:opsworks:stack`)\n - changed `idPattern` from `arn:aws:opsworks:{aws.region}:{aws.account.id}:stack:{stackid}` to `arn:aws:opsworks:{aws.region}:{aws.account.id}:stack/{stackid}/`\n - changed `name` from `cloud:aws:opsworks:stackid` to `cloud:aws:opsworks:stack`\n- **Amazon Polly** (entity name: `cluod:aws:polly:lexicon`)\n - changed `idPattern` from `arn:aws:polly:{aws.region}:{aws.account.id}:lexicon:{lexiconname}` to `arn:aws:polly:{aws.region}:{aws.account.id}:lexicon/{lexiconname}`\n - changed `name` from `cloud:aws:polly:lexiconname` to `cloud:aws:polly:lexicon`\n- **Amazon QLDB** (entity name: `cloud:aws:qldb:ledger`)\n - changed `idPattern` from `arn:aws:qldb:{aws.region}:{aws.account.id}:ledger:{ledgername}` to `arn:aws:qldb:{aws.region}:{aws.account.id}:ledger/{ledgername}`\n - changed `name` from `cloud:aws:ledgername` to `cloud:aws:ledger`\n- **Amazon RDS Cluster (formerly Amazon Aurora)** (entity name: `cloud:aws:rds:dbcluster`)\n - changed `name` from `cloud:aws:aurora:dbcluster` to `cloud:aws:rds:dbcluster`\n - changed `source` condition from `$prefix(cloud.aws.aurora)` to `$prefix(cloud:aws:rds)`\n- **Amazon RDS Instance (formerly Amazon RDS)** (entity name: `cloud:aws:rds:dbintsance`)\n - changed `name` from `cloud:aws:rds:dbinstanceidentifier` to `cloud:aws:rds:dbinstance`\n- **Amazon Redshift** (entity name: `cloud:aws:redshift:cluster`)\n - changed `name` from `cloud:aws:redshift:clusteridentifier` to `cloud:aws:redshift:cluster`\n- **AWS RoboMaker** (entity name: `cloud:aws:robomaker:simulationjob`)\n - changed `idPattern` from `arn:aws:robomaker:{aws.region}:{aws.account.id}:simulation-job:{simulationjobid}` to `arn:aws:robomaker:{aws.region}:{aws.account.id}:simulation-job/{simulationjobid}`\n - changed `name` from `cloud:aws:robomaker:simulationjobid` to `cloud:aws:robomaker:simulationjob`\n- **Amazon Route 53** (entity name: `cloud:aws:route53:hostedzone`)\n - changed `name` from `cloud:aws:route53:hostedzoneid` to `cloud:aws:route53:hostedzone`\n- **Amazon Route 53 Resolver** (entity name: `cloud:aws:route53resolver:endpoint`)\n - changed `idPattern` from `arn:aws:route53resolver:{aws.region}:{aws.account.id}:resolver-endpoint:{endpointid}` to `arn:aws:route53resolver:{aws.region}:{aws.account.id}:resolver-endpoint/{endpointid}`\n - changed `name` from `cloud:aws:route53resolver:endpointid` to `cloud:aws:route53resolver:endpoint`\n- **Amazon S3** (entity name: `cloud:aws:s3:bucket`)\n - changed `idPattern` from `arn:aws:s3:{bucketname}` to `arn:aws:s3:::{bucketname}`\n - changed `name` from `cloud:aws:s3:bucketname` to `cloud:aws:s3:bucket`\n- **Amazon SageMaker Batch Transform Jobs** (entity name: `cloud:aws:sage_maker:batch_transform_job:transformjob`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:transform-job:{transformjobname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:transform-job/{transformjobname}`\n - changed `name` from `cloud:aws:sage_maker:batch_transform_job:transformjobname` to `cloud:aws:sage_maker:batch_transform_job:transformjob`\n- **Amazon SageMaker Endpoints** (entity name: `cloud:aws:sage_maker:endpoint:endpoint`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:endpoint:{endpointname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:endpoint/{endpointname}`\n - changed `name` from `cloud:aws:sage_maker:endpoint:endpointname` to `cloud:aws:sage_maker:endpoint:endpoint`\n- **Amazon SageMaker Processing Jobs** (entity name: `cloud:aws:sage_maker:processing_job:processingjob`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:processing-job:{processingjobname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:processing-job/{processingjobname}`\n - changed `name` from `cloud:aws:sage_maker:processing_job:processingjobname` to `cloud:aws:sage_maker:processing_job:processingjob`\n- **Amazon SageMaker Training Jobs** (entity name: `cloud:aws:sage_maker:training_job:trainingjob`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:training-job:{trainingjobname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:training-job/{trainingjobname}`\n - changed `name` from `cloud:aws:sage_maker:training_job:trainingjobname` to `cloud:aws:sage_maker:training_job:trainingjob`\n- **AWS Service Catalog** (entity name: `cloud:aws:servicecatalog:product`)\n - changed `idPattern` from `arn:aws:catalog:{aws.region}:{aws.account.id}:product:{productid}` to `arn:aws:catalog:{aws.region}:{aws.account.id}:product/{productid}`\n - changed `name` from `cloud:aws:servicecatalog:productid` to `cloud:aws:servicecatalog:product`\n- **Amazon Simple Email Service** (entity name: `cloud:aws:ses:entity`)\n - changed `idPattern` from `arn:aws:ses:{aws.region}:{aws.account.id}:identity:{identityname}` to `arn:aws:ses:{aws.region}:{aws.account.id}:identity/{identityname}`\n - changed `name` from `cloud:aws:ses:identityname` to `cloud:aws:ses:identity`\n- **Amazon Simple Notification Service** (entity name: `cloud:aws:sns:topic`)\n - changed `name` from `cloud:aws:sns:topicname` to `cloud:aws:sns:topic`\n- **Amazon Simple Queue Service** (entity name: `cloud:aws:sqs:queue`)\n - changed `name` from `cloud:aws:sqs:queuename` to `cloud:aws:sqs:queue`\n- **AWS Site-to-Site VPN** (entity name: `cloud:aws:vpn:vpn`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:vpn-connection:{vpnid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:vpn-connection/{vpnid}`\n - changed `name` from `cloud:aws:vpn:vpnid` to `cloud:aws:vpn:vpn`\n- **AWS Step Functions** (entity name: `cloud:aws:states:activity`)\n - changed `name` from `cloud:aws:states:activityarn` to `cloud:aws:states:activity`\n- **AWS Storage Gateway** (entity name: `cloud:aws:storagegateway:gateway`)\n - changed `idPattern` from `arn:aws:storagegateway:{aws.region}:{aws.account.id}:gateway:{gatewayid}` to `arn:aws:storagegateway:{aws.region}:{aws.account.id}:gateway/{gatewayid}`\n - changed `name` from `cloud:aws:storagegateway:gatewayname` to `cloud:aws:storagegateway:gateway`\n- **Amazon SWF** (entity name: `cloud:aws:swf:domain`)\n - changed `idPattern` from `arn:aws:swf:{aws.region}:{aws.account.id}:domain:{domain}` to `arn:aws:swf::{aws.account.id}:/domain/{domain}`\n- **AWS Transfer Family (formerly Amazon Transfer Family)** (entity name: `cloud:aws:transfer:server`)\n - changed `idPattern` from `arn:aws:transfer:{aws.region}:{aws.account.id}:server:{serverid}` to `arn:aws:transfer:{aws.region}:{aws.account.id}:server/{serverid}`\n - changed `name` from `cloud:aws:transfer:serverid` to `cloud:aws:transfer:server`\n- **AWS Transit Gateway** (entity name: `cloud:aws:transitgateway:transitgateway`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:transit-gateway:{transitgateway}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:transit-gateway/{transitgateway}`\n- **AWS Trusted Advisor** (entity name: `cloud:aws:trustedadvisor:check`)\n - changed `idPattern` from `arn:aws:trustedadvisor:{aws.region}:{aws.account.id}:checks:{categorycode}:{checkid}` to `arn:aws:trustedadvisor:{aws.region}:{aws.account.id}:checks/{categorycode}/{checkid}`\n - changed `name` from `cloud:aws:trustedadvisor:checkid` to `cloud:aws:trustedadvisor:check`\n- **Amazon VPC NAT Gateways** (entity name: `cloud:aws:nat_gateway:natgateway`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:natgateway:{natgatewayid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:natgateway/{natgatewayid}`\n - changed `name` from `cloud:aws:nat_gateway:natgatewayid` to `cloud:aws:nat_gateway:natgateway`\n- **AWS WAF Classic (formerly Amazon WAF Classic)** (entity name: `cloud:aws:waf:webacl`)\n - changed `idPattern` from `arn:aws:waf:{aws.region}:{aws.account.id}:webacl:{webacl}` to `arn:aws:waf::{aws.account.id}:webacl/{webacl}`\n- **AWS WAFV2 (formerly Amazon WAF)** (entity name: `cloud:aws:wafv2:webacl`)\n - changed `idPattern` from `arn:aws:wafv2:{aws.region}:{aws.account.id}:webacl:{webacl}` to `arn:aws:wafv2:{aws.region}:{aws.account.id}:{scope}/webacl/{webaclname}/{webaclid}`\n- **Amazon WorkMail** (entity name: `cloud:aws:workmail:organization`)\n - changed `idPattern` from `arn:aws:workmail:{aws.region}:{aws.account.id}:organization:{organizationid}` to `arn:aws:workmail:{aws.region}:{aws.account.id}:organization/{organizationid}`\n - changed `name` from `cloud:aws:workmail:organizationid` to `cloud:aws:workmail:organization`\n- **Amazon WorkSpaces** (entity name: `cloud:aws:workspaces:workspace`)\n - changed `idPattern` from `arn:aws:workspaces:{aws.region}:{aws.account.id}:workspace:{workspaceid}` to `arn:aws:workspaces:{aws.region}:{aws.account.id}:workspace/{workspaceid}`\n - changed `name` from `cloud:aws:workspaces:workspaceid` to `cloud:aws:workspaces:workspace`",
"created": "2024-07-10T06:40:42.720962Z"
},
{
"name": "com.dynatrace.extension.aws-ms-entities@0.1.4",
"fqn": "com.dynatrace.extension.aws-ms-entities",
"version": "0.1.4",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.aws-ms-entities/com.dynatrace.extension.aws-ms-en_zBZ3TU8.zip",
"release_notes": "",
"created": "2023-10-06T07:27:10.884059Z"
}
],
"related_technologies": [
"amazon-cloudwatch"
],
"latest_downloads": [
{
"name": "com.dynatrace.extension.aws-ms-entities@0.2.0",
"fqn": "com.dynatrace.extension.aws-ms-entities",
"version": "0.2.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.aws-ms-entities/com.dynatrace.extension.aws-ms-en_TABLdGN.zip",
"release_notes": "### Version 0.2.0\n\n### New Features\n- support for new service `Amazon Data Firehose`\n\n### Fixed\n- added attributes: `aws_service`, `aws_arn`\n- changed attribute `aws_resource_type` values for all services\n- changed `aws_service` attribute value for `Amazon ApplicationELB` from `ALB` to `Amazon ApplicationELB`\n- fixed wrong entity type in S3 Bucket cards on Unified Analysis screen, the card is now shown properly\n- fixed typo in AWS Lambda attributes and breadcrumbs navigation\n\n### Breaking changes\n- **AWS Account** (entity name: `cloud:aws:account`)\n - changed `idPattern` from `arn:aws:{aws.account.id}` to `arn:aws:account::{aws.account.id}:account`\n- **Amazon API Gateway** (entity name: `cloud:aws:api_gateway:api`)\n - changed `idPattern` from `arn:aws:apigateway:{aws.region}:restapis:{apiname}` to `arn:aws:apigateway:{aws.account.id}:{aws.region}::/restapis/{apiname}`\n - changed `name` from `cloud:aws:api_gateway:apiname` to `cloud:aws:api_gateway:api`\n- **Amazon ApplicationELB** (entity name: `cloud:aws:applicationelb:loadbalancer`)\n - changed `idPattern` from `arn:aws:applicationelb:{aws.region}:{aws.account.id}:loadbalancer:{loadbalancer}` to `arn:aws:elasticloadbalancing:{aws.region}:{aws.account.id}:loadbalancer/{loadbalancer}`\n- **AWS App Runner** (entity name: `cloud:was:app_runner_service`)\n - changed `idPattern` from `arn:aws:apprunner:{aws.region}:{aws.account.id}:service:{servicename}:{serviceid}` to `arn:aws:apprunner:{aws.region}:{aws.account.id}:service/{servicename}/{serviceid}`\n - changed `name` from `cloud:aws:app_runner:servicename` to `cloud:aws:app_runner:service`\n- **Amazon AppStream 2.0 (formerly Amazon AppStream)** (entity name: `cloud:aws:appstream:fleet`)\n - changed `idPattern` from `arn:aws:appstream:{aws.region}:{aws.account.id}:fleet:{fleet}` to `arn:aws:appstream:{aws.region}:{aws.account.id}:fleet/{fleet}`\n- **AWS AppSync** (entity name: `cloud:aws:appsync:graphqlapi`)\n - changed `idPattern` from `arn:aws:appsync:{aws.region}:{aws.account.id}:apis:{graphqlapiid}` to `arn:aws:appsync:{aws.region}:{aws.account.id}:apis/{graphqlapiid}`\n - changed `name` from `cloud:aws:appsync:graphqlapiid` to `cloud:aws:appsync:graphqlapi`\n- **Amazon Athena** (entity name: `cloud:aws:athena:workgroup`)\n - changed `idPattern` from `arn:aws:athena:{aws.region}:{aws.account.id}:workgroup:{workgroup}` to `arn:aws:athena:{aws.region}:{aws.account.id}:workgroup/{workgroup}`\n- **AWS Billing** (entity name: `cloud:aws:billing:service`)\n - changed `name` from `cloud:aws:billing:servicename` to `cloud:aws:billing:service`\n- **AWS Certificate Manager Private Certificate Authority** (entity name: `cloud:aws:acmprivateca:certificateauthority`)\n - changed `idPattern` from `arn:aws:acm-pca:{aws.region}:{aws.account.id}:certificate-authority:{certificateauthorityid}` to `arn:aws:acm-pca:{aws.region}:{aws.account.id}:certificate-authority/{certificateauthorityid}`\n - changed `name` from `cloud:aws:acmprivateca:certificateauthorityid` to `cloud:aws:acmprivateca:certificateauthority`\n- **AWS Chatbot** (entity name: `cloud:aws:chatbot:configuration`)\n - changed `idPattern` from `arn:aws:chatbot:{aws.account.id}:chat-configuration:{configurationtype}:{configurationname}` to `arn:aws:chatbot:{aws.account.id}:chat-configuration/{configurationtype}/{configurationname}`\n - changed `name` from `cloud:aws:chatbot:configurationname` to `cloud:aws:chatbot:configuration`\n- **Amazon CloudFront** (entity name: `cloud:aws:cloudfront:distribution`)\n - changed `idPattern` from `arn:aws:cloudfront:{aws.account.id}:distribution:{distributionid}` to `arn:aws:cloudfront:{aws.account.id}:distribution/{distributionid}`\n - changed `name` from `cloud:aws:cloud_front:distributionid` to `cloud:aws:cloud_front:distribution`\n- **AWS CloudHSM** (entity name: `cloud:aws:cloudhsm:cluster`)\n - changed `idPattern` from `arn:aws:cloudhsm:{aws.region}:{aws.account.id}:cluster:{clusterid}` to `arn:aws:cloudhsm:{aws.region}:{aws.account.id}:cluster/{clusterid}`\n - changed `name` from `cloud:aws:cloudhsm:clusterid` to `cloud:aws:cloudhsm:cluster`\n- **Amazon CloudSearch** (entity name: `cloud:aws:cloudsearch:domain`)\n - changed `idPattern` from `arn:aws:cloudsearch:{aws.region}:{aws.account.id}:domain:{domainname}` to `arn:aws:cloudsearch:{aws.region}:{aws.account.id}:domain/{domainname}`\n - changed `name` from `cloud:aws:cloudsearch:domainname` to `cloud:aws:cloudsearch:domain`\n- **Amazon CloudWatch Logs** (entity name: `cloud:aws:logs:log-group`)\n - changed `name` from `cloud:aws:logs:loggroupname` to `cloud:aws:logs:log-group`\n- **AWS CodeBuild** (entity name: `cloud:aws:codebuild:project`)\n - changed `idPattern` from `arn:aws:codebuild:{aws.region}:{aws.account.id}:project:{projectname}` to `arn:aws:codebuild:{aws.region}:{aws.account.id}:project/{projectname}`\n - changed `name` from `cloud:aws:codebuild:projectname` to `cloud:aws:codebuild:project`\n- **Amazon Connect** (entity name: `cloud:aws:connect:instance`)\n - changed `idPattern` from `arn:aws:connect:{aws.region}:{aws.account.id}:instance:{instanceid}` to `arn:aws:connect:{aws.region}:{aws.account.id}:instance/{instanceid}`\n - changed `name` from `cloud:aws:connect:instanceid` to `cloud:aws:connect:instance`\n- **AWS Database Migration Service (formerly Amazon Database Migration Service)** (entity name: `cloud;aws:dms:replicationinstance`)\n - changed `idPattern` from `arn:aws:dms:{aws.region}:{aws.account.id}:rep:{apiid}` to `arn:aws:dms:{aws.region}:{aws.account.id}:rep:{replicationinstanceidentifier}`\n - changed `name` from `cloud:aws:dms:replicationinstanceidentifier` to `cloud:aws:dms:replicationinstance`\n- **AWS DataSync** (entity name: `cloud:aws:datasync:task`)\n - changed `idPattern` from `arn:aws:datasync:{aws.region}:{aws.account.id}:task:{taskid}` to `arn:aws:datasync:{aws.region}:{aws.account.id}:task/{taskid}`\n - changed `name` from `cloud:aws:datasync:taskid` to `cloud:aws:datasync:task`\n- **AWS Direct Connect** (entity name: `cloud:aws:dxcon:connection`)\n - changed `idPattern` from `arn:aws:rds:{aws.region}:{aws.account.id}:cluster:{dbclusteridentifier}` to `arn:aws:rds:{aws.region}:{aws.account.id}:cluster/{dbclusteridentifier}`\n - changed `name` from `cloud:aws:dxcon:connectionid` to `cloud:aws:dxcon:connection`\n- **Amazon DocumentDB** (entity name: `cloud:aws:documentdb:dbcluster`)\n - changed `idPattern` from `arn:aws:rds:{aws.region}:{aws.account.id}:cluster:{dbclusteridentifier}` to `arn:aws:rds:{aws.region}:{aws.account.id}:cluster/{dbclusteridentifier}`\n - changed `name` from `cloud:aws:documentdb:dbclusteridentifier` to `cloud:aws:documentdb:dbcluster`\n- **Amazon DynamoDB** (entity name: `cloud:aws:dax:cluster`)\n - changed `idPattern` from `arn:aws:dax:{aws.region}:{aws.account.id}:cache:{clusterid}` to `arn:aws:dax:{aws.region}:{aws.account.id}:cache/{clusterid}`\n - changed `name` from `cloud:aws:dynamodb:tablename` to `cloud:aws:dynamodb:table`\n- **Amazon DynamoDB Accelerator** (entity name: `cloud:aws:dax:cluster`)\n - changed `name` from `cloud:aws:dax:clusterid` to `cloud:aws:dax:cluster`\n- **Amazon DynamoDB** (entity name: `cloud:aws:dynamodb:table`)\n - changed `idPattern` from `arn:aws:dynamodb:{aws.region}:{aws.account.id}:table:{tablename}` to `arn:aws:dynamodb:{aws.region}:{aws.account.id}:table/{tablename}`\n- **Amazon EBS** (entity name: `cloud:aws:ebs:volume`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:volume:{volumeid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:volume/{volumeid}`\n - changed `name` from `cloud:aws:ebs:volumeid` to `cloud:aws:ebs:volume`\n- **Amazon EC2** (entity name: `cloud:aws:ec2:instance`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:volume:{volumeid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:volume/{volumeid}`\n - changed `name` from `cloud:aws:ec2:instanceid` to `cloud:aws:ec2:instance`\n- **Amazon EC2 Auto Scaling** (entity name: `cloud:aws:autoscaling:autoscalinggroup`)\n - changed `idPattern` from `arn:aws:autoscaling:{aws.region}:{aws.account.id}:autoscalinggroup:{groupid}:autoscalinggroupname:{autoscalinggroupname}` to `arn:aws:autoscaling:{aws.region}:{aws.account.id}:autoscalinggroup:{groupid}:autoscalinggroupname/{autoscalinggroupname}`\n - changed `name` from `cloud:aws:autoscaling:autoscalinggroupname` to `cloud:aws:autoscaling:autoscalinggroup`\n- **Amazon EC2 Spot Fleet** (entity name: `cloud:aws:ec2_spot:fleetrequest`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:spot-instances-request:{fleetrequestid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:spot-instances-request/{fleetrequestid}`\n - changed `name` from `cloud:aws:ec2_spot:fleetrequestid` to `cloud:aws:ec2_spot:fleetrequest`\n- **AWS Elastic Beanstalk** (entity name: `cloud:aws:elasticbeanstalk:environment`)\n - changed `idPattern` from `arn:aws:elasticbeanstalk:{aws.region}:{aws.account.id}:environment:{environmentname}` to `arn:aws:elasticbeanstalk:{aws.region}:{aws.account.id}:environment/{applicationname}/{environmentname}`\n - changed `name` from `cloud:aws:elasticbeanstalk:environmentname` to `cloud:aws:elasticbeanstalk:environment`\n- **Amazon ElastiCache** (entity name: `cloud:aws:elasticache:cachecluster`)\n - changed `name` from `cloud:aws:elasticache:cacheclusterid` to `cloud:aws:elasticache:cachecluster`\n- **Amazon Elastic Container Service** (entity name: `cloud:aws:ecs:metric_streams:cluster`)\n - changed `idPattern` from `arn:aws:ecs:{aws.region}:{aws.account.id}:cluster:{clustername}` to `arn:aws:ecs:{aws.region}:{aws.account.id}:cluster/{clustername}`\n - changed `name` from `cloud:aws:ecs:clustername` to `cloud:aws:metric_streams:cluster`\n- **Amazon Elastic File System** (entity name: `cloud:aws:efs:filesystem`)\n - changed `idPattern` from `arn:aws:elasticfilesystem:{aws.region}:{aws.account.id}:file-system:{filesystemid}` to `arn:aws:elasticfilesystem:{aws.region}:{aws.account.id}:file-system/{filesystemid}`\n - changed `name` from `cloud:aws:efs:filesystemid` to `cloud:aws:efs:filesystem`\n- **Amazon Elastic Inference** (entity name: `cloud:aws:elasticinference:instance`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:instance:{instanceid}` to `arn:aws:elastic-inference:{aws.region}:{aws.account.id}:elastic-inference-accelerator/{acceleratorid}`\n - changed `name` from `cloud:aws:elasticinference:instanceid` to `cloud:aws:elasticinference:instance`\n- **Amazon Elastic Kubernetes Service** (entity name: `cloud:aws:eks:cluster:cluster`)\n - changed `idPattern` from `arn:aws:eks:{aws.region}:{aws.account.id}:cluster:{clustername}` to `arn:aws:eks:{aws.region}:{aws.account.id}:cluster/{clustername}`\n - changed `name` from `cloud:aws:eks:cluster:clustername` to `cloud:aws:eks:cluster:cluster`\n- **Amazon Elastic Map Reduce** (entity name: `cloud:aws:emr:cluster`)\n - changed `idPattern` from `arn:aws:elasticmapreduce:{aws.region}:{aws.account.id}:cluster:{jobflowid}` to `arn:aws:elasticmapreduce:{aws.region}:{aws.account.id}:cluster/{clusterid}`\n - changed `name` from `cloud:aws:emr:jobflowid` to `cloud:aws:emr:cluster`\n- **Amazon Elasticsearch (OpenSearch) Service (formerly Amazon Elasticsearch Service)** (entity name: `cloud:aws:es:domain`)\n - changed `idPattern` from `arn:aws:es:{aws.region}:{aws.account.id}:domain:{domainname}` to `arn:aws:es:{aws.region}:{aws.account.id}:domain/{domainname}`\n - changed `name` from `cloud:aws:es:domainname` to `cloud:aws:es:domain`\n- **Amazon Elastic Transcoder** (entity name: `cloud:aws:elastictranscoder:pipeline`)\n - changed `idPattern` from `arn:aws:elastictranscoder:{aws.region}:{aws.account.id}:pipeline:{pipelineid}` to `arn:aws:elastictranscoder:{aws.region}:{aws.account.id}:pipeline/{pipelineid}`\n - changed `name` from `cloud:aws:elastictranscoder:pipelineid` to `cloud:aws:elastictranscoder:pipeline`\n- **Amazon ELB** (entity name: `cloud:aws:elb:loadbalancer`)\n - changed `idPattern` from `arn:aws:elb:{aws.region}:{aws.account.id}:loadbalancername:{loadbalancername}` to `arn:aws:elasticloadbalancing:{aws.region}:{aws.account.id}:loadbalancer/{loadbalancername}`\n - changed `name` from `cloud:aws:elb:loadbalancername` to `cloud:aws:elb:loadbalancer`\n- **AWS Elemental MediaConnect** (entity name: `cloud:aws:mediaconnect:flow`)\n - changed `name` from `cloud:aws:mediaconnect:flowarn` to `cloud:aws:mediaconnect:flow`\n- **AWS Elemental MediaConvert (formerly: Amazon MediaConvert)** (entity name: `cloud:aws:mediaconvert:queue`)\n - changed `idPattern` from `arn:aws:mediaconvert:{aws.region.id}:{aws.account.id}:queues:{queue}` to `arn:aws:mediaconvert:{aws.region.id}:{aws.account.id}:queues/{queue}`\n- **AWS Elemental MediaPackage Live (formerly Amazon MediaPackage Live)** (entity name: `cloud:aws:mediapackagelive:channel`)\n - changed `idPattern` from `arn:aws:mediapackage:{aws.region}:{aws.account.id}:channels:{id}` to `arn:aws:mediapackage:{aws.region}:{aws.account.id}:channels/{id}`\n- **AWS Elemental MediaPackage Video on Demand (formerly Amazon MediaPackage Video on Demand)** (entity name: `cloud:aws:mediapackagevod:packagingconfiguration`)\n - changed `idPattern` from `arn:aws:mediapackage-vod:{aws.region}:{aws.account.id}:packaging-configurations:{packagingconfiguration}` to `arn:aws:mediapackage-vod:{aws.region}:{aws.account.id}:packaging-configurations/{packagingconfiguration}`\n- **AWS Elemental MediaTailor (formerly Amazon MediaTailor)** (entity name: `cloud:aws:media_tailor:configuration`)\n - changed `idPattern` from `arn:aws:mediatailor:{aws.region}:{aws.account.id}:playbackconfiguration:{configurationname}` to `arn:aws:mediatailor:{aws.region}:{aws.account.id}:playbackconfiguration/{configurationname}`\n - changed `name` from `cloud:aws:media_tailor:configurationname` to `cloud:aws:media_tailor:configuration`\n- **Amazon EventBridge** (entity name: `cloud:aws:events:eventbus`)\n - changed `idPattern` from `arn:aws:events:{aws.region}:{aws.account.id}:event-bus:{eventbusname}` to `arn:aws:events:{aws.region}:{aws.account.id}:event-bus/{eventbusname}`\n - changed `name` from `cloud:aws:events:eventbusname` to `cloud:aws:events:eventbus`\n- **Amazon FSx** (entity name: `cloud:aws:fsx:filesystem`)\n - changed `idPattern` from `arn:aws:fsx:{aws.region}:{aws.account.id}:filesystemid:{filesystemid}` to `arn:aws:fsx:{aws.region}:{aws.account.id}:file-system/{filesystemid}`\n - changed `name` from `cloud:aws:fsx:filesystemid` to `cloud:aws:fsx:filesystem`\n- **Amazon GameLift** (entity name: `cloud:aws:gamelift`)\n - changed `idPattern` from `arn:aws:gamelift:{aws.region}:{aws.account.id}:fleet:{fleetid}` to `arn:aws:gamelift:{aws.region}:{aws.account.id}:fleet/{fleetid}`\n - changed `name` from `cloud:aws:gamelift:fleetid` to `cloud:aws:gamelift:fleet`\n- **AWS Glue** (entity name: `cloud:aws:glue:job`)\n - changed `idPattern` from `arn:aws:glue:{aws.region}:{aws.account.id}:job:{jobname}` to `arn:aws:glue:{aws.region}:{aws.account.id}:job/{jobname}`\n - changed `name` from `cloud:aws:glue:jobname` to `cloud:aws:glue:job`\n- **AWS Internet of Things** (entity name: `cloud:aws:iot:thing`)\n - changed `idPattern` from `arn:aws:iot:{aws.region}:{aws.account.id}:thing:{thingname}` to `arn:aws:iot:{aws.region}:{aws.account.id}:thing/{thingname}`\n - changed `name` from `cloud:aws:iot:thingname` to `cloud:aws:iot:thing`\n- **Amazon Keyspaces** (entity name: `cloud:aws:cassandra:keyspace`)\n - changed `idPattern` from `arn:aws:cassandra:{aws.region}:{aws.account.id}::keyspace:{keyspace}` to `arn:aws:cassandra:{aws.region}:{aws.account.id}:/keyspace/{keyspace}`\n- **AWS Lambda (formerly Amazon Lambda)** (entity name: `cloud:aws:lambda:function`)\n - changed `name` from `cloud:aws:lambda:functionname` to `cloud:aws:lambda:function`\n- **Amazon Lex** (entity name: `cloud:aws:lex:bot`)\n - changed `name` from `cloud:aws:lex:botname` to `cloud:aws:lex:bot`\n- **Amazon Managed Streaming for Kafka** (entity name: `cloud:aws:kafka:cluster`)\n - changed `idPattern` from `arn:aws:kafka:{aws.region}:{aws.account.id}:cluster:{clusternameid}` to `arn:aws:kafka:{aws.region}:{aws.account.id}:cluster/{clusternameid}/{uuid}`\n - changed `name` from `cloud:aws:kafka:cluster_name` to `cloud:aws:kafka:cluster`\n- **Amazon MQ** (entity name: `cloud:aws:mq:broker`)\n - changed `idPattern` from `arn:aws:mq:{aws.region}:{aws.account.id}:broker:{brokerid}` to `arn:aws:mq:{aws.region}:{aws.account.id}:broker:{broker}`\n- **Amazon Neptune** (entity name: `cloud:aws:neptune:cluster`)\n - changed `name` from `cloud:aws:neptune:dbclusteridentifier` to `cloud:aws:neptune:cluster`\n- **Amazon NetworkELB** (entity name: `cloud:aws:networkelb:loadbalancer`)\n - changed `idPattern` from `arn:aws:networkelb:{aws.region}:{aws.account.id}:loadbalancer:{loadbalancer}` to `arn:aws:elasticloadbalancing:{aws.region}:{aws.account.id}:loadbalancer/{loadbalancername}`\n - changed `instanceNamePattern` from `'{loadbalancer}'` to `'{loadbalancername}'`\n- **AWS OpsWorks** (entity name: `cloud:aws:opsworks:stack`)\n - changed `idPattern` from `arn:aws:opsworks:{aws.region}:{aws.account.id}:stack:{stackid}` to `arn:aws:opsworks:{aws.region}:{aws.account.id}:stack/{stackid}/`\n - changed `name` from `cloud:aws:opsworks:stackid` to `cloud:aws:opsworks:stack`\n- **Amazon Polly** (entity name: `cluod:aws:polly:lexicon`)\n - changed `idPattern` from `arn:aws:polly:{aws.region}:{aws.account.id}:lexicon:{lexiconname}` to `arn:aws:polly:{aws.region}:{aws.account.id}:lexicon/{lexiconname}`\n - changed `name` from `cloud:aws:polly:lexiconname` to `cloud:aws:polly:lexicon`\n- **Amazon QLDB** (entity name: `cloud:aws:qldb:ledger`)\n - changed `idPattern` from `arn:aws:qldb:{aws.region}:{aws.account.id}:ledger:{ledgername}` to `arn:aws:qldb:{aws.region}:{aws.account.id}:ledger/{ledgername}`\n - changed `name` from `cloud:aws:ledgername` to `cloud:aws:ledger`\n- **Amazon RDS Cluster (formerly Amazon Aurora)** (entity name: `cloud:aws:rds:dbcluster`)\n - changed `name` from `cloud:aws:aurora:dbcluster` to `cloud:aws:rds:dbcluster`\n - changed `source` condition from `$prefix(cloud.aws.aurora)` to `$prefix(cloud:aws:rds)`\n- **Amazon RDS Instance (formerly Amazon RDS)** (entity name: `cloud:aws:rds:dbintsance`)\n - changed `name` from `cloud:aws:rds:dbinstanceidentifier` to `cloud:aws:rds:dbinstance`\n- **Amazon Redshift** (entity name: `cloud:aws:redshift:cluster`)\n - changed `name` from `cloud:aws:redshift:clusteridentifier` to `cloud:aws:redshift:cluster`\n- **AWS RoboMaker** (entity name: `cloud:aws:robomaker:simulationjob`)\n - changed `idPattern` from `arn:aws:robomaker:{aws.region}:{aws.account.id}:simulation-job:{simulationjobid}` to `arn:aws:robomaker:{aws.region}:{aws.account.id}:simulation-job/{simulationjobid}`\n - changed `name` from `cloud:aws:robomaker:simulationjobid` to `cloud:aws:robomaker:simulationjob`\n- **Amazon Route 53** (entity name: `cloud:aws:route53:hostedzone`)\n - changed `name` from `cloud:aws:route53:hostedzoneid` to `cloud:aws:route53:hostedzone`\n- **Amazon Route 53 Resolver** (entity name: `cloud:aws:route53resolver:endpoint`)\n - changed `idPattern` from `arn:aws:route53resolver:{aws.region}:{aws.account.id}:resolver-endpoint:{endpointid}` to `arn:aws:route53resolver:{aws.region}:{aws.account.id}:resolver-endpoint/{endpointid}`\n - changed `name` from `cloud:aws:route53resolver:endpointid` to `cloud:aws:route53resolver:endpoint`\n- **Amazon S3** (entity name: `cloud:aws:s3:bucket`)\n - changed `idPattern` from `arn:aws:s3:{bucketname}` to `arn:aws:s3:::{bucketname}`\n - changed `name` from `cloud:aws:s3:bucketname` to `cloud:aws:s3:bucket`\n- **Amazon SageMaker Batch Transform Jobs** (entity name: `cloud:aws:sage_maker:batch_transform_job:transformjob`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:transform-job:{transformjobname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:transform-job/{transformjobname}`\n - changed `name` from `cloud:aws:sage_maker:batch_transform_job:transformjobname` to `cloud:aws:sage_maker:batch_transform_job:transformjob`\n- **Amazon SageMaker Endpoints** (entity name: `cloud:aws:sage_maker:endpoint:endpoint`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:endpoint:{endpointname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:endpoint/{endpointname}`\n - changed `name` from `cloud:aws:sage_maker:endpoint:endpointname` to `cloud:aws:sage_maker:endpoint:endpoint`\n- **Amazon SageMaker Processing Jobs** (entity name: `cloud:aws:sage_maker:processing_job:processingjob`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:processing-job:{processingjobname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:processing-job/{processingjobname}`\n - changed `name` from `cloud:aws:sage_maker:processing_job:processingjobname` to `cloud:aws:sage_maker:processing_job:processingjob`\n- **Amazon SageMaker Training Jobs** (entity name: `cloud:aws:sage_maker:training_job:trainingjob`)\n - changed `idPattern` from `arn:aws:sagemaker:{aws.region}:{aws.account.id}:training-job:{trainingjobname}` to `arn:aws:sagemaker:{aws.region}:{aws.account.id}:training-job/{trainingjobname}`\n - changed `name` from `cloud:aws:sage_maker:training_job:trainingjobname` to `cloud:aws:sage_maker:training_job:trainingjob`\n- **AWS Service Catalog** (entity name: `cloud:aws:servicecatalog:product`)\n - changed `idPattern` from `arn:aws:catalog:{aws.region}:{aws.account.id}:product:{productid}` to `arn:aws:catalog:{aws.region}:{aws.account.id}:product/{productid}`\n - changed `name` from `cloud:aws:servicecatalog:productid` to `cloud:aws:servicecatalog:product`\n- **Amazon Simple Email Service** (entity name: `cloud:aws:ses:entity`)\n - changed `idPattern` from `arn:aws:ses:{aws.region}:{aws.account.id}:identity:{identityname}` to `arn:aws:ses:{aws.region}:{aws.account.id}:identity/{identityname}`\n - changed `name` from `cloud:aws:ses:identityname` to `cloud:aws:ses:identity`\n- **Amazon Simple Notification Service** (entity name: `cloud:aws:sns:topic`)\n - changed `name` from `cloud:aws:sns:topicname` to `cloud:aws:sns:topic`\n- **Amazon Simple Queue Service** (entity name: `cloud:aws:sqs:queue`)\n - changed `name` from `cloud:aws:sqs:queuename` to `cloud:aws:sqs:queue`\n- **AWS Site-to-Site VPN** (entity name: `cloud:aws:vpn:vpn`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:vpn-connection:{vpnid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:vpn-connection/{vpnid}`\n - changed `name` from `cloud:aws:vpn:vpnid` to `cloud:aws:vpn:vpn`\n- **AWS Step Functions** (entity name: `cloud:aws:states:activity`)\n - changed `name` from `cloud:aws:states:activityarn` to `cloud:aws:states:activity`\n- **AWS Storage Gateway** (entity name: `cloud:aws:storagegateway:gateway`)\n - changed `idPattern` from `arn:aws:storagegateway:{aws.region}:{aws.account.id}:gateway:{gatewayid}` to `arn:aws:storagegateway:{aws.region}:{aws.account.id}:gateway/{gatewayid}`\n - changed `name` from `cloud:aws:storagegateway:gatewayname` to `cloud:aws:storagegateway:gateway`\n- **Amazon SWF** (entity name: `cloud:aws:swf:domain`)\n - changed `idPattern` from `arn:aws:swf:{aws.region}:{aws.account.id}:domain:{domain}` to `arn:aws:swf::{aws.account.id}:/domain/{domain}`\n- **AWS Transfer Family (formerly Amazon Transfer Family)** (entity name: `cloud:aws:transfer:server`)\n - changed `idPattern` from `arn:aws:transfer:{aws.region}:{aws.account.id}:server:{serverid}` to `arn:aws:transfer:{aws.region}:{aws.account.id}:server/{serverid}`\n - changed `name` from `cloud:aws:transfer:serverid` to `cloud:aws:transfer:server`\n- **AWS Transit Gateway** (entity name: `cloud:aws:transitgateway:transitgateway`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:transit-gateway:{transitgateway}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:transit-gateway/{transitgateway}`\n- **AWS Trusted Advisor** (entity name: `cloud:aws:trustedadvisor:check`)\n - changed `idPattern` from `arn:aws:trustedadvisor:{aws.region}:{aws.account.id}:checks:{categorycode}:{checkid}` to `arn:aws:trustedadvisor:{aws.region}:{aws.account.id}:checks/{categorycode}/{checkid}`\n - changed `name` from `cloud:aws:trustedadvisor:checkid` to `cloud:aws:trustedadvisor:check`\n- **Amazon VPC NAT Gateways** (entity name: `cloud:aws:nat_gateway:natgateway`)\n - changed `idPattern` from `arn:aws:ec2:{aws.region}:{aws.account.id}:natgateway:{natgatewayid}` to `arn:aws:ec2:{aws.region}:{aws.account.id}:natgateway/{natgatewayid}`\n - changed `name` from `cloud:aws:nat_gateway:natgatewayid` to `cloud:aws:nat_gateway:natgateway`\n- **AWS WAF Classic (formerly Amazon WAF Classic)** (entity name: `cloud:aws:waf:webacl`)\n - changed `idPattern` from `arn:aws:waf:{aws.region}:{aws.account.id}:webacl:{webacl}` to `arn:aws:waf::{aws.account.id}:webacl/{webacl}`\n- **AWS WAFV2 (formerly Amazon WAF)** (entity name: `cloud:aws:wafv2:webacl`)\n - changed `idPattern` from `arn:aws:wafv2:{aws.region}:{aws.account.id}:webacl:{webacl}` to `arn:aws:wafv2:{aws.region}:{aws.account.id}:{scope}/webacl/{webaclname}/{webaclid}`\n- **Amazon WorkMail** (entity name: `cloud:aws:workmail:organization`)\n - changed `idPattern` from `arn:aws:workmail:{aws.region}:{aws.account.id}:organization:{organizationid}` to `arn:aws:workmail:{aws.region}:{aws.account.id}:organization/{organizationid}`\n - changed `name` from `cloud:aws:workmail:organizationid` to `cloud:aws:workmail:organization`\n- **Amazon WorkSpaces** (entity name: `cloud:aws:workspaces:workspace`)\n - changed `idPattern` from `arn:aws:workspaces:{aws.region}:{aws.account.id}:workspace:{workspaceid}` to `arn:aws:workspaces:{aws.region}:{aws.account.id}:workspace/{workspaceid}`\n - changed `name` from `cloud:aws:workspaces:workspaceid` to `cloud:aws:workspaces:workspace`",
"created": "2024-07-10T06:40:42.720962Z"
}
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"displayName": "MAX_DISK_PARTITION_SPACE_PERCENT_USED"
}
},
{
"key": "mongo.atlas.MAX_DISK_PARTITION_SPACE_PERCENT_FREE",
"metadata": {
"unit": "Percent",
"description": "MAX The percentage of disk free on the disk partition used by MongoDB.",
"displayName": "MAX_DISK_PARTITION_SPACE_PERCENT_FREE"
}
},
{
"key": "mongo.atlas.MAX_DISK_PARTITION_SPACE_USED",
"metadata": {
"unit": "Byte",
"description": "MAX Amount of disk space used in Bytes, on the disk partition used by MongoDB.",
"displayName": "MAX_DISK_PARTITION_SPACE_USED"
}
},
{
"key": "mongo.atlas.MAX_DISK_PARTITION_SPACE_FREE",
"metadata": {
"unit": "Byte",
"description": "MAX Amount of disk space free in Bytes, on the disk partition used by MongoDB.",
"displayName": "MAX_DISK_PARTITION_SPACE_FREE"
}
}
]
},
"system-cpu": {
"metrics": [
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_GUEST",
"metadata": {
"unit": "Percent",
"description": "Guest CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "SYSTEM_NORMALIZED_CPU_GUEST"
}
},
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_KERNEL",
"metadata": {
"unit": "Percent",
"description": "Kernel CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "SYSTEM_NORMALIZED_CPU_KERNEL"
}
},
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_NICE",
"metadata": {
"unit": "Count",
"description": "CPU usage of processes with a positive nice value, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "SYSTEM_NORMALIZED_CPU_NICE"
}
},
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_IOWAIT",
"metadata": {
"unit": "Percent",
"description": "CPU usage of processes spent waiting for IO operations to complete, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "SYSTEM_NORMALIZED_CPU_IOWAIT"
}
},
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_IRQ",
"metadata": {
"unit": "Percent",
"description": "CPU usage of harware interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "SYSTEM_NORMALIZED_CPU_IRQ"
}
},
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_SOFTIRQ",
"metadata": {
"unit": "Percent",
"description": "CPU usage of software interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "SYSTEM_NORMALIZED_CPU_SOFTIRQ"
}
},
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_STEAL",
"metadata": {
"unit": "Percent",
"description": "The percentage of time the CPU had something runnable, but the hypervisor chose to run something else, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "SYSTEM_NORMALIZED_CPU_STEAL"
}
},
{
"key": "mongo.atlas.SYSTEM_NORMALIZED_CPU_USER",
"metadata": {
"unit": "Percent",
"description": "User CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores",
"displayName": "SYSTEM_NORMALIZED_CPU_USER"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_GUEST",
"metadata": {
"unit": "Percent",
"description": "MAX Guest CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_GUEST"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_KERNEL",
"metadata": {
"unit": "Percent",
"description": "MAX Kernel CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_KERNEL"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_NICE",
"metadata": {
"unit": "Count",
"description": "MAX CPU usage of processes with a positive nice value, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_NICE"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_IOWAIT",
"metadata": {
"unit": "Percent",
"description": "MAX CPU usage of processes spent waiting for IO operations to complete, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_IOWAIT"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_IRQ",
"metadata": {
"unit": "Percent",
"description": "MAX CPU usage of harware interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_IRQ"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_SOFTIRQ",
"metadata": {
"unit": "Percent",
"description": "MAX CPU usage of software interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_SOFTIRQ"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_STEAL",
"metadata": {
"unit": "Percent",
"description": "MAX The percentage of time the CPU had something runnable, but the hypervisor chose to run something else, scaled to a range of 0 to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_STEAL"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_USER",
"metadata": {
"unit": "Percent",
"description": "MAX User CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores",
"displayName": "MAX_SYSTEM_NORMALIZED_CPU_USER"
}
}
]
},
"process-cpu": {
"metrics": [
{
"key": "mongo.atlas.PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL",
"metadata": {
"unit": "Percent",
"description": "Children Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL"
}
},
{
"key": "mongo.atlas.PROCESS_NORMALIZED_CPU_CHILDREN_USER",
"metadata": {
"unit": "Percent",
"description": "Children User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "PROCESS_NORMALIZED_CPU_CHILDREN_USER"
}
},
{
"key": "mongo.atlas.PROCESS_NORMALIZED_CPU_KERNEL",
"metadata": {
"unit": "Percent",
"description": "Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "PROCESS_NORMALIZED_CPU_KERNEL"
}
},
{
"key": "mongo.atlas.PROCESS_NORMALIZED_CPU_USER",
"metadata": {
"unit": "Percent",
"description": "User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "PROCESS_NORMALIZED_CPU_USER"
}
},
{
"key": "mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL",
"metadata": {
"unit": "Percent",
"description": "MAX Children Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL"
}
},
{
"key": "mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_CHILDREN_USER",
"metadata": {
"unit": "Percent",
"description": "MAX Children User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_PROCESS_NORMALIZED_CPU_CHILDREN_USER"
}
},
{
"key": "mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_KERNEL",
"metadata": {
"unit": "Percent",
"description": "MAX Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_PROCESS_NORMALIZED_CPU_KERNEL"
}
},
{
"key": "mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_USER",
"metadata": {
"unit": "Percent",
"description": "MAX User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.",
"displayName": "MAX_PROCESS_NORMALIZED_CPU_USER"
}
}
]
},
"disk-latency": {
"metrics": [
{
"key": "mongo.atlas.DISK_PARTITION_LATENCY_READ",
"metadata": {
"unit": "MilliSecond",
"description": "Read Latency of the disk partition that hosts MongoDB.",
"displayName": "DISK_PARTITION_LATENCY_READ"
}
},
{
"key": "mongo.atlas.DISK_PARTITION_LATENCY_WRITE",
"metadata": {
"unit": "MilliSecond",
"description": "Write Latency of the disk partition that hosts MongoDB.",
"displayName": "DISK_PARTITION_LATENCY_WRITE"
}
},
{
"key": "mongo.atlas.MAX_DISK_PARTITION_LATENCY_READ",
"metadata": {
"unit": "MilliSecond",
"description": "MAX Read Latency of the disk partition that hosts MongoDB.",
"displayName": "MAX_DISK_PARTITION_LATENCY_READ"
}
},
{
"key": "mongo.atlas.MAX_DISK_PARTITION_LATENCY_WRITE",
"metadata": {
"unit": "MilliSecond",
"description": "MAX Write Latency of the disk partition that hosts MongoDB.",
"displayName": "MAX_DISK_PARTITION_LATENCY_WRITE"
}
}
]
},
"database-size": {
"metrics": [
{
"key": "mongo.atlas.DATABASE_AVERAGE_OBJECT_SIZE",
"metadata": {
"unit": "Byte",
"description": "Average size of each document in bytes.",
"displayName": "DATABASE_AVERAGE_OBJECT_SIZE"
}
},
{
"key": "mongo.atlas.DATABASE_DATA_SIZE",
"metadata": {
"unit": "Byte",
"description": "Total size of the uncompressed data held in the database.",
"displayName": "DATABASE_DATA_SIZE"
}
},
{
"key": "mongo.atlas.DATABASE_STORAGE_SIZE",
"metadata": {
"unit": "Byte",
"description": "Sum of the disk space allocated to all collections in the database for document storage, including free space.",
"displayName": "DATABASE_STORAGE_SIZE"
}
},
{
"key": "mongo.atlas.DATABASE_INDEX_SIZE",
"metadata": {
"unit": "Byte",
"description": "Sum of the disk space allocated to all indexes in the database, including free index space.",
"displayName": "DATABASE_INDEX_SIZE"
}
}
]
},
"process-cache": {
"metrics": [
{
"key": "mongo.atlas.CACHE_BYTES_READ_INTO",
"metadata": {
"unit": "Byte",
"description": "Read - Amount of bytes in the WiredTiger storage engine cache",
"displayName": "CACHE_BYTES_READ_INTO"
}
},
{
"key": "mongo.atlas.CACHE_BYTES_WRITTEN_FROM",
"metadata": {
"unit": "Byte",
"description": "Write - Amount of bytes in the WiredTiger storage engine cache",
"displayName": "CACHE_BYTES_WRITTEN_FROM"
}
},
{
"key": "mongo.atlas.CACHE_DIRTY_BYTES",
"metadata": {
"unit": "Byte",
"description": "Amount of dirty bytes in the WiredTiger storage engine cache",
"displayName": "CACHE_DIRTY_BYTES"
}
},
{
"key": "mongo.atlas.CACHE_USED_BYTES",
"metadata": {
"unit": "Byte",
"description": "Amount of used bytes in the WiredTiger storage engine cache",
"displayName": "CACHE_USED_BYTES"
}
}
]
},
"process-index": {
"metrics": [
{
"key": "mongo.atlas.INDEX_COUNTERS_BTREE_ACCESSES",
"metadata": {
"unit": "Count",
"description": "Number of index btree ACCESSES.",
"displayName": "INDEX_COUNTERS_BTREE_ACCESSES"
}
},
{
"key": "mongo.atlas.INDEX_COUNTERS_BTREE_HITS",
"metadata": {
"unit": "Count",
"description": "Number of index btree HITS.",
"displayName": "INDEX_COUNTERS_BTREE_HITS"
}
},
{
"key": "mongo.atlas.INDEX_COUNTERS_BTREE_MISS_RATIO",
"metadata": {
"unit": "Ratio",
"description": "index btree miss ratio",
"displayName": "INDEX_COUNTERS_BTREE_MISS_RATIO"
}
},
{
"key": "mongo.atlas.INDEX_COUNTERS_BTREE_MISSES",
"metadata": {
"unit": "Count",
"description": "Number of index btree MISSES.",
"displayName": "INDEX_COUNTERS_BTREE_MISSES"
}
}
]
},
"process-oplog": {
"metrics": [
{
"key": "mongo.atlas.OPLOG_MASTER_LAG_TIME_DIFF",
"metadata": {
"unit": "Second",
"description": null,
"displayName": "OPLOG_MASTER_LAG_TIME_DIFF"
}
},
{
"key": "mongo.atlas.OPLOG_MASTER_TIME",
"metadata": {
"unit": "Second",
"description": null,
"displayName": "OPLOG_MASTER_TIME"
}
},
{
"key": "mongo.atlas.OPLOG_RATE_MB_PER_MIN",
"metadata": {
"unit": "MegaBytePerMinute",
"description": "Oplog rate (MB/min) - calculated from Atlas metric OPLOG_RATE_GB_PER_HOUR",
"displayName": "OPLOG_RATE_MB_PER_MIN"
}
},
{
"key": "mongo.atlas.OPLOG_SLAVE_LAG_MASTER_TIME",
"metadata": {
"unit": "Second",
"description": null,
"displayName": "OPLOG_SLAVE_LAG_MASTER_TIME"
}
},
{
"key": "mongo.atlas.OPLOG_REPLICATION_LAG"
}
]
},
"process-other": {
"metrics": [
{
"key": "mongo.atlas.BACKGROUND_FLUSH_AVG",
"metadata": {
"unit": "Count",
"description": "Amount of data flushed in the background.",
"displayName": "BACKGROUND_FLUSH_AVG"
}
},
{
"key": "mongo.atlas.RESTARTS_IN_LAST_HOUR",
"metadata": {
"unit": "Count",
"description": "Number of times the host restarted within the previous hour.",
"displayName": "RESTARTS_IN_LAST_HOUR"
}
},
{
"key": "mongo.atlas.OPERATIONS_SCAN_AND_ORDER",
"metadata": {
"unit": "Count",
"description": "The total number of queries that return sorted data that cannot perform the sort operation using an index.",
"displayName": "OPERATIONS_SCAN_AND_ORDER"
}
},
{
"key": "mongo.atlas.EXTRA_INFO_PAGE_FAULTS",
"metadata": {
"unit": "Count",
"description": "The total number of page faults",
"displayName": "EXTRA_INFO_PAGE_FAULTS"
}
}
]
},
"process-query": {
"metrics": [
{
"key": "mongo.atlas.QUERY_EXECUTOR_SCANNED",
"metadata": {
"unit": "PerSecond",
"description": "Average rate per second to scan index items during queries and query-plan evaluations.",
"displayName": "QUERY_EXECUTOR_SCANNED"
}
},
{
"key": "mongo.atlas.QUERY_EXECUTOR_SCANNED_OBJECTS",
"metadata": {
"unit": "PerSecond",
"description": "Average rate of documents scanned per second during queries and query-plan evaluations.",
"displayName": "QUERY_EXECUTOR_SCANNED_OBJECTS"
}
},
{
"key": "mongo.atlas.QUERY_TARGETING_SCANNED_OBJECTS_PER_RETURNED",
"metadata": {
"unit": "Ratio",
"description": "Ratio of the number of documents scanned to the number of documents returned.",
"displayName": "QUERY_TARGETING_SCANNED_OBJECTS_PER_RETURNED"
}
},
{
"key": "mongo.atlas.QUERY_TARGETING_SCANNED_PER_RETURNED",
"metadata": {
"unit": "Ratio",
"description": "Ratio of the number of index items scanned to the number of documents returned.",
"displayName": "QUERY_TARGETING_SCANNED_PER_RETURNED"
}
}
]
},
"system-memory": {
"metrics": [
{
"key": "mongo.atlas.SYSTEM_MEMORY_USED",
"metadata": {
"unit": "Byte",
"description": "Physical memory used, in bytes",
"displayName": "SYSTEM_MEMORY_USED"
}
},
{
"key": "mongo.atlas.SYSTEM_MEMORY_AVAILABLE",
"metadata": {
"unit": "Byte",
"description": "Physical memory available, in bytes",
"displayName": "SYSTEM_MEMORY_AVAILABLE"
}
},
{
"key": "mongo.atlas.SYSTEM_MEMORY_FREE",
"metadata": {
"unit": "Byte",
"description": "Physical memory free, in bytes",
"displayName": "SYSTEM_MEMORY_FREE"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_MEMORY_USED",
"metadata": {
"unit": "Byte",
"description": "MAX Physical memory used, in bytes",
"displayName": "MAX_SYSTEM_MEMORY_USED"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_MEMORY_AVAILABLE",
"metadata": {
"unit": "Byte",
"description": "MAX Physical memory available, in bytes",
"displayName": "MAX_SYSTEM_MEMORY_AVAILABLE"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_MEMORY_FREE",
"metadata": {
"unit": "Byte",
"description": "MAX Physical memory free, in bytes",
"displayName": "MAX_SYSTEM_MEMORY_FREE"
}
}
]
},
"database-count": {
"metrics": [
{
"key": "mongo.atlas.DATABASE_COLLECTION_COUNT"
},
{
"key": "mongo.atlas.DATABASE_INDEX_COUNT"
},
{
"key": "mongo.atlas.DATABASE_EXTENT_COUNT"
},
{
"key": "mongo.atlas.DATABASE_OBJECT_COUNT"
},
{
"key": "mongo.atlas.DATABASE_VIEW_COUNT"
}
]
},
"process-assert": {
"metrics": [
{
"key": "mongo.atlas.ASSERT_MSG",
"metadata": {
"unit": "PerSecond",
"description": "Rate of MSG asserts for a MongoDB process",
"displayName": "ASSERT_MSG"
}
},
{
"key": "mongo.atlas.ASSERT_REGULAR",
"metadata": {
"unit": "PerSecond",
"description": "Rate of REGULAR asserts for a MongoDB process",
"displayName": "ASSERT_REGULAR"
}
},
{
"key": "mongo.atlas.ASSERT_USER",
"metadata": {
"unit": "PerSecond",
"description": "Rate of USER asserts for a MongoDB process",
"displayName": "ASSERT_USER"
}
},
{
"key": "mongo.atlas.ASSERT_WARNING",
"metadata": {
"unit": "PerSecond",
"description": "Rate of WARNING asserts for a MongoDB process",
"displayName": "ASSERT_WARNING"
}
}
]
},
"process-global": {
"metrics": [
{
"key": "mongo.atlas.GLOBAL_ACCESSES_NOT_IN_MEMORY",
"metadata": {
"unit": "Count",
"description": null,
"displayName": "GLOBAL_ACCESSES_NOT_IN_MEMORY"
}
},
{
"key": "mongo.atlas.GLOBAL_LOCK_CURRENT_QUEUE_READERS",
"metadata": {
"unit": "Count",
"description": "The number of operations that are currently queued and waiting for the read lock.",
"displayName": "GLOBAL_LOCK_CURRENT_QUEUE_READERS"
}
},
{
"key": "mongo.atlas.GLOBAL_LOCK_CURRENT_QUEUE_TOTAL",
"metadata": {
"unit": "Count",
"description": "The total number of operations queued waiting for the lock (readers + writers)",
"displayName": "GLOBAL_LOCK_CURRENT_QUEUE_TOTAL"
}
},
{
"key": "mongo.atlas.GLOBAL_LOCK_CURRENT_QUEUE_WRITERS",
"metadata": {
"unit": "Count",
"description": "The number of operations that are currently queued and waiting for the write lock.",
"displayName": "GLOBAL_LOCK_CURRENT_QUEUE_WRITERS"
}
},
{
"key": "mongo.atlas.GLOBAL_PAGE_FAULT_EXCEPTIONS_THROWN",
"metadata": {
"unit": "Count",
"description": null,
"displayName": "GLOBAL_PAGE_FAULT_EXCEPTIONS_THROWN"
}
}
]
},
"process-memory": {
"metrics": [
{
"key": "mongo.atlas.COMPUTED_MEMORY",
"metadata": {
"unit": "MebiByte",
"description": "Amount of COMPUTED process memory, in mebibytes (MiB)",
"displayName": "COMPUTED_MEMORY"
}
},
{
"key": "mongo.atlas.MEMORY_RESIDENT",
"metadata": {
"unit": "MebiByte",
"description": "Amount of RESIDENT process memory, in mebibytes (MiB)",
"displayName": "MEMORY_RESIDENT"
}
},
{
"key": "mongo.atlas.MEMORY_VIRTUAL",
"metadata": {
"unit": "MebiByte",
"description": "Amount of VIRTUAL process memory, in mebibytes (MiB)",
"displayName": "MEMORY_VIRTUAL"
}
},
{
"key": "mongo.atlas.MEMORY_MAPPED",
"metadata": {
"unit": "MebiByte",
"description": "Amount of MAPPED process memory, in mebibytes (MiB)",
"displayName": "MEMORY_MAPPED"
}
},
{
"key": "mongo.atlas.DB_DATA_SIZE_TOTAL",
"metadata": {
"unit": "Byte",
"description": "Total On-disk data size - dbstats",
"displayName": "DB_DATA_SIZE_TOTAL"
}
},
{
"key": "mongo.atlas.DB_STORAGE_TOTAL",
"metadata": {
"unit": "Byte",
"description": "Total On-disk storage size - dbstats",
"displayName": "DB_STORAGE_TOTAL"
}
},
{
"key": "mongo.atlas.SWAP_USAGE_FREE",
"metadata": {
"unit": "Byte",
"description": "Total amount of swap space free.",
"displayName": "SWAP_USAGE_FREE"
}
},
{
"key": "mongo.atlas.SWAP_USAGE_USED",
"metadata": {
"unit": "Byte",
"description": "Total amount of swap space in use.",
"displayName": "SWAP_USAGE_USED"
}
},
{
"key": "mongo.atlas.MAX_SWAP_USAGE_FREE",
"metadata": {
"unit": "Byte",
"description": "MAX amount of swap space free.",
"displayName": "MAX_SWAP_USAGE_FREE"
}
},
{
"key": "mongo.atlas.MAX_SWAP_USAGE_USED",
"metadata": {
"unit": "Byte",
"description": "MAX amount of swap space in use.",
"displayName": "MAX_SWAP_USAGE_USED"
}
}
]
},
"process-ticket": {
"metrics": [
{
"key": "mongo.atlas.TICKETS_AVAILABLE_READS",
"metadata": {
"unit": "Count",
"description": "The number of read tickets available to the WiredTiger storage engine.",
"displayName": "TICKETS_AVAILABLE_READS"
}
},
{
"key": "mongo.atlas.TICKETS_AVAILABLE_WRITE",
"metadata": {
"unit": "Count",
"description": "The number of write tickets available to the WiredTiger storage engine.",
"displayName": "TICKETS_AVAILABLE_WRITE"
}
}
]
},
"system-network": {
"metrics": [
{
"key": "mongo.atlas.SYSTEM_NETWORK_IN",
"metadata": {
"unit": "BytePerSecond",
"description": "Incoming network throughput in bytes per second.",
"displayName": "SYSTEM_NETWORK_IN"
}
},
{
"key": "mongo.atlas.SYSTEM_NETWORK_OUT",
"metadata": {
"unit": "BytePerSecond",
"description": "Outgoing network throughput in bytes per second.",
"displayName": "SYSTEM_NETWORK_OUT"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NETWORK_IN",
"metadata": {
"unit": "BytePerSecond",
"description": "MAX Incoming network throughput in bytes per second.",
"displayName": "MAX_SYSTEM_NETWORK_IN"
}
},
{
"key": "mongo.atlas.MAX_SYSTEM_NETWORK_OUT",
"metadata": {
"unit": "BytePerSecond",
"description": "MAX Outgoing network throughput in bytes per second.",
"displayName": "MAX_SYSTEM_NETWORK_OUT"
}
}
]
},
"process-journal": {
"metrics": [
{
"key": "mongo.atlas.JOURNALING_COMMITS_IN_WRITE_LOCK",
"metadata": {
"unit": "Count",
"description": "Number of journaling COMMIT operations.",
"displayName": "JOURNALING_COMMITS_IN_WRITE_LOCK"
}
},
{
"key": "mongo.atlas.JOURNALING_MB",
"metadata": {
"unit": "MegaByte",
"description": null,
"displayName": "JOURNALING_MB"
}
},
{
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{
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{
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{
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"description": "Total bytes of disk space that search processes use.",
"displayName": "FTS_DISK_UTILIZATION"
}
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{
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"metadata": {
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"description": "Total bytes of mapped memory that search processes occupy.",
"displayName": "FTS_MEMORY_MAPPED"
}
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{
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}
},
{
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"displayName": "FTS_MEMORY_VIRTUAL"
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},
{
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"description": "Percentage of time that the CPU spent servicing operating system calls for the search process.",
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}
},
{
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"description": "Percentage of time that the CPU spent servicing user calls for the search process.",
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}
}
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{
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"displayName": "DOCUMENT_METRICS_DELETED"
}
},
{
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}
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{
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{
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}
}
]
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"metadata": {
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"description": "Rate of database operations on a MongoDB process since the process last started",
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}
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{
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"metadata": {
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"description": "Rate of database DELETE operations on a MongoDB process since the process last started",
"displayName": "OPCOUNTER_DELETE"
}
},
{
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}
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"description": "Rate of database operations on MongoDB secondaries",
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}
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{
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{
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"description": "Rate of database INSERT operations on MongoDB secondaries",
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{
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"metadata": {
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"displayName": "CONNECTIONS"
}
},
{
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{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "The extension remotely monitors your MongoDB Atlas projects through the [MongoDB Atlas Administration API](https://www.mongodb.com/docs/atlas/reference/api-resources-spec/v2/)"
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "For SaaS deployments of MongoDB where the Dynatrace OneAgent cannot be installed.\nThis extension enables insights into the overall health of your Atlas projects, clusters and nodes."
},
"sourceId": "use_cases"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "Activate the extension in your environment using the in-product Hub and provide the required configuration settings such as the Project Id and API access keys . Follow the instructions and prompts within the extension settings.\nMongoDB Atlas Prerequisites:\n* [Find your atlas project ID](https://www.mongodb.com/docs/atlas/app-services/apps/metadata/#find-your-atlas-project-id)\n* [Create Org API key](https://www.mongodb.com/docs/atlas/configure-api-access/#std-label-create-org-api-key)\n* Whitelist the **ActiveGate IP address** under the API Key access list"
},
"sourceId": "get_started"
},
{
"type": "markdown",
"properties": {
"title": "Details",
"source": "This extension used the [Atlas Administration API](https://www.mongodb.com/docs/atlas/reference/api-resources-spec/v1/) to fetch important metrics and metadata for your Projects, Clusters and Nodes.\n\n### Events\nIt also optionally fetches important Project events as Dynatrace log events.\nIf enabled, by default ALL mongo events will be ingested into Dynatrace.\nYou can view the list of events under the 'eventType' parameter at:\n[listProjectEvents API Reference](https://www.mongodb.com/docs/atlas/reference/api-resources-spec/v2/#tag/Events/operation/listProjectEvents).\nAnother good source to view Mongo events is: [Mongo alert-types](https://www.mongodb.com/docs/cloud-manager/reference/alert-types/). Note: not all supported Atlas events are documented at this second link.\n\nYou can also specify a comma-separated list of events to collect if you only want to ingest specific event types. e.g., \"CREDIT_CARD_ABOUT_TO_EXPIRE, NO_PRIMARY, CPS_SNAPSHOT_FALLBACK_FAILED, NDS_X509_USER_AUTHENTICATION_MANAGED_USER_CERTS_EXPIRATION_CHECK\".\nAll events are ingested as 'Info' severity logs. You can configure log preprocessing rules to automatically raise this severity for specific event types. See [Dynatrace log Processing](https://docs.dynatrace.com/docs/shortlink/lma-log-processing)\n\n### DDU licensing\nThe metrics and events collected through this extension consume Dynatrace Davis Data Units (DDUs). See [DDUs for metrics](https://docs.dynatrace.com/docs/shortlink/metric-cost-calculation)\n* The extension will monitor all clusters (deployments) within a Mongo Atlas project.\n* Each cluster then has a number of nodes (processes) which is where the metrics are collected from.\n* If you also want to collect disk metrics, then the disk metrics are collected from each node partition.\n\nSo, a general formula for the number of metrics would be:\n#### Process Metrics (Total = 108):\n`num_process_metrics = Number of projects * Clusters in project * Nodes per Cluster * 108`\n\n#### Disk Metrics (Total = 18):\n`num_disk_metrics = Number of projects * Clusters in project * Nodes per Cluster * Partitions per Node * 18`\n\n**`Total_metrics = num_process_metrics + num_disk_metrics`**\n\nYou can use the feature sets defined below to enable/disable the collection of specific metric categories."
},
"sourceId": "details"
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{
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"properties": {
"title": "Compatibility information",
"source": "Only compatible with [MongoDB Atlas](https://www.mongodb.com/atlas/database)"
},
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"modified": "2024-06-27T09:42:22.715995Z",
"created": "2023-06-27T05:55:07.264422Z",
"seo_title": "MongoDB Atlas monitoring & observability",
"seo_description": "Remotely monitor your SaaS installation of MongoDB (Atlas) Start your free trial today!",
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"about": "The extension remotely monitors your MongoDB Atlas projects through the [MongoDB Atlas Administration API](https://www.mongodb.com/docs/atlas/reference/api-resources-spec/v2/)",
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"supported_distributions": "Only compatible with [MongoDB Atlas](https://www.mongodb.com/atlas/database)",
"get_started": "Activate the extension in your environment using the in-product Hub and provide the required configuration settings such as the Project Id and API access keys . Follow the instructions and prompts within the extension settings.\nMongoDB Atlas Prerequisites:\n* [Find your atlas project ID](https://www.mongodb.com/docs/atlas/app-services/apps/metadata/#find-your-atlas-project-id)\n* [Create Org API key](https://www.mongodb.com/docs/atlas/configure-api-access/#std-label-create-org-api-key)\n* Whitelist the **ActiveGate IP address** under the API Key access list"
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"release_notes": "* Update to use **v2** of the [MongoDB Atlas Administration API](https://www.mongodb.com/docs/atlas/reference/api-resources-spec/v2/)\n* Support for all listed Metric Types: [Metrics Reference](https://www.mongodb.com/docs/ops-manager/current/reference/api/measures/measurement-types/)\n* Updated Dashboard and Unified Analysis Screens\n* Custom entity type for Partitions",
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"description": "Total size of empty space in files of specific types per database",
"displayName": "Database file empty size"
}
}
]
},
"Transaction Logs": {
"metrics": []
},
"Transaction logs": {
"metrics": [
{
"key": "sql-server.databases.log.filesSize",
"metadata": {
"unit": "KiloByte",
"description": "Cumulative size of all the transaction log files in the database",
"displayName": "Log files size"
}
},
{
"key": "sql-server.databases.log.filesUsedSize",
"metadata": {
"unit": "KiloByte",
"description": "The cumulative used size of all the log files in the database",
"displayName": "Log files used size"
}
},
{
"key": "sql-server.databases.log.flushWaits.count",
"metadata": {
"unit": "Count",
"description": "Number of commits waiting for the log flush",
"displayName": "Log flush waits"
}
},
{
"key": "sql-server.databases.log.growths.count",
"metadata": {
"unit": "Count",
"description": "Number of times the transaction log for the database has been expanded",
"displayName": "Log growths"
}
},
{
"key": "sql-server.databases.log.shrinks.count",
"metadata": {
"unit": "Count",
"description": "Number of log shrinks for this database",
"displayName": "Log shrinks"
}
},
{
"key": "sql-server.databases.log.truncations.count",
"metadata": {
"unit": "Count",
"description": "Number of times the transaction log has been truncated (in Simple Recovery Model)",
"displayName": "Log truncations"
}
},
{
"key": "sql-server.databases.log.percentUsed",
"metadata": {
"unit": "Percent",
"description": "Percentage of space in the log that is in use",
"displayName": "Percent log used"
}
}
]
}
},
"minDynatraceVersion": "1.295.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Microsoft SQL Server database monitoring is based on a remote monitoring approach implemented as a Dynatrace ActiveGate extension. The extension queries MS SQL databases for key performance and health metrics, extending your visibility, and allowing DAVIS AI to provide anomaly detection and problem analysis."
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "* Understand the impact of resource shortages, locks or other database issues have on your application by observing the database server itself.\n* Track health and performance of the MS SQL servers"
},
"sourceId": "use_cases"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "### Activation\n\n* Activate Extension in the Hub: *Dynatrace Hub → SQL Server → Add to environment*.\n* Add a monitoring configuration with endpoints that connect to individual SQL Server instances.\n* Enabling [log monitoring](https://docs.dynatrace.com/docs/observe-and-explore/logs/log-monitoring) will activate extension status logs and allow for monitoring of the longest running queries and largest database files."
},
"sourceId": "get_started"
},
{
"type": "markdown",
"properties": {
"title": "Compatibility information",
"source": "### Supported types of SQL Server\n\n* SQL Server *(editions: Enterprise, Standard, Developer, Web, Express) on Windows servers.*\n* Azure SQL Database.\n* Azure SQL Managed Instance.\n\n**Important note:** The extension is reported to work with other types of SQL Server, such as AWS RDS or SQL Server on Linux, but they are not officially supported.\n\n### Supported types of HA or replication\n\n* Always On\n\n**Important note:** Other types of replication and HA monitoring, including publisher/subscriber model, are not supported yet.\n\n### Supported versions of SQL Server\n\nAny version of SQL Server with active extended support by Microsoft is supported by this extension.\nPlease refer to the official Microsoft documentation about [lifecycle dates for SQL Server](https://docs.microsoft.com/en-us/sql/sql-server/end-of-support/sql-server-end-of-life-overview?view=sql-server-ver15).\n\n### Simultaneous use of different versions of extension\n\n* Running two or more different versions of the extension against the same SQL Server is **not supported**.\n* Running different major versions (for example, version 1 and version 2) of the extension on the same tenant is **highly discouraged** and is **not supported**. This will break the topology model.\n\n### Compatibility with OneAgent \n\n* In order for SQL Server Instance entity to be linked to the Host entity, they must share the same IP address. If the monitoring configuration for SQL Server is configured with a different IP address, two instances will not be linked with each other."
},
"sourceId": "supported_distributions"
},
{
"type": "markdown",
"properties": {
"title": "Using DQL and Logs",
"source": "### Top queries\n\n#### How to enable?\n \nCollection of top queries ordered by total duration can be enabled using the `Queries` feature set.\n\n#### Prerequisites\n\n* Query Store **must** be enabled on SQL Server instance.\n* The database from which queries are collected is determined by:\n * Explicit database name specified in the endpoint for monitoring configuration; or\n * Default database configured for the connected user.\n\n#### How often is the information updated?\n\nTop queries are fetched by extension every 5 minutes.\n\n#### How to list top queries?\n\nThe query below, when executed in Logs and Events, displays top queries, as observed within the most recent 5 min timeframe, using DQL:\n\n```dql\nfetch logs, from:now()-5m\n| filter matchesValue(dt.extension.name, \"com.dynatrace.extension.sql-server\")\n| filter matchesValue(event.group, \"longest_queries\")\n| fields total_duration, avg_duration, content, server, instance, num_executions, query_plan\n| sort asDouble(total_duration) desc\n```\n\nDescription of fields:\n\n* `total_duration` field represents a sum of all executions of this query over the given 5 min timeframe in seconds\n* `avg_duration` represents an average execution time of this query of the given 5 min timeframe in seconds\n* `content` field contains the SQL text of the query\n\n*On Managed tenants:* log records can be retrieved by filtering logs using 2 attributes\n\n* `dt.extension.name`: `com.dynatrace.extension.sql-server`; and\n* `event.group`: `longest_queries`.\n\n### Largest files\n\n#### How to enable?\n \nCollection of largest database files by size can be enabled using the `Database files` feature set.\n\n#### How often is the information updated?\n\nTop database files by size are fetched by extension every 5 minutes.\n\n#### How to list the largest database files by size?\n\nThe query below, when executed in Logs and Events, displays the largest database files, as observed within the most recent 5 min timeframe, by size using DQL:\n\n```dql\nfetch logs, from:now()-5m\n| filter matchesValue(dt.extension.name, \"com.dynatrace.extension.sql-server\")\n| filter matchesValue(event.group, \"largest_files\")\n| fields content, file_size, file_type_desc, file_state_desc, database, server, instance, file_used_space, file_empty_space\n| sort asDouble(file_size) desc\n```\n\nDescription of fields:\n\n* `content` field represents the physical name of the file as handled by host OS\n* `file_size` is reported in KB\n* `file_used_space` is reported in KB and represents amount of space occupied by allocated pages within a specific file\n* `file_empty_space` is reported in KB and represents amount of space that is still empty within a specifc file\n\n*On Managed tenants:* log records can be retrieved by filtering logs using 2 attributes\n\n* `dt.extension.name`: `com.dynatrace.extension.sql-server`; and\n* `event.group`: `largest_files`.\n\n### Current jobs\n\n#### How to enable?\n \nMonitoring of current jobs can be enabled using the `Jobs` feature set.\n\n#### How often is the information updated?\n\nCurrent jobs are fetched by extension every 5 minutes.\n\n#### How to list current jobs?\n\nThe query below, when executed in Logs and Events, displays current jobs, as observed within the most recent 5 min timeframe, using DQL:\n\n```dql\nfetch logs, from:now()-5m\n| filter matchesValue(dt.extension.name, \"com.dynatrace.extension.sql-server\")\n| filter matchesValue(event.group, \"current_jobs\")\n| fields job_name, job_status, content, enabled, last_run_outcome, duration, instance, server, start_execution_date, stop_execution_date\n| sort asDouble(duration) desc\n```\n\nDescription of fields:\n\n* `content` field represents the last execution outcome message.\n* `job_status` and `last_run_outcome` are identical, except for two situations:\n * When the job was not executed yet, the `job_status` equals `Idle`\n * When the job is currently being executed, the `job_status` equals `In Progress`\n* `duration` represents complete job duration in seconds after execution is finished\n\n*On Managed tenants:* log records can be retrieved by filtering logs using 2 attributes\n\n* `dt.extension.name`: `com.dynatrace.extension.sql-server`; and\n* `event.group`: `current_jobs`.\n\n### Failed jobs\n\n#### How to enable?\n \nMonitoring of failed jobs can be enabled using the `Jobs` feature set.\n\n#### How often is the information updated?\n\nFailed jobs are fetched by extension every 5 minutes.\n\n#### How to list failed jobs?\n\nThe query below, when executed in Logs and Events, displays failed jobs, as observed within the most recent 5 min timeframe, using DQL:\n\n```dql\nfetch logs, from:now()-5m\n| filter matchesValue(dt.extension.name, \"com.dynatrace.extension.sql-server\")\n| filter matchesValue(event.group, \"failed_jobs\")\n| fields job_name, step_name, outcome, content, duration, instance, server, sql_severity, retries_attempted, start_execution_date, stop_execution_date\n| sort stop_execution_date desc\n```\n\nDescription of fields:\n\n* `content` field represents the message of the last executed step and usually contains the error.\n* `outcome` represents the final job status message as composed by SQL Server Agent.\n* `duration` represents complete job duration in seconds after execution is finished\n\n *On Managed tenants:* log records can be retrieved by filtering logs using 2 attributes\n\n* `dt.extension.name`: `com.dynatrace.extension.sql-server`; and\n* `event.group`: `failed_jobs`.\n"
},
"sourceId": "blocks_0"
},
{
"type": "markdown",
"properties": {
"title": "FAQ",
"source": "### How does the extension affect the target database?\n\n* The extension only executes `SELECT` queries to obtain monitoring data. The database is never modified or locked.\n* The extension only queries `sys.*` system views and `msdb` database (when applicable). User databases and objects are never affected.\n* All executed queries are static and are cached within the target database after their first execution.\n* Even with all Feature Sets enabled, the effect the extension has on each target database is negligible.\n\n### How to size ActiveGates for this extension?\n\n* Each monitoring configuration is automatically assigned to an ActiveGate within the assigned ActiveGate group.\n* All of the endpoints within a single monitoring configuration are executed on a single ActiveGate.\n* Failover migration of monitoring configuration is automatically performed in case an ActiveGate is brought down. Migration is only performed within a single ActiveGate group.\n* Each monitoring configuration can handle hundreds of active endpoints simultaneously on a single ActiveGate with 2vCPU and 4GiB RAM.\n* The number of monitoring configurations that can be created is limited. It is much more performance and resource-efficient to have many endpoints inside a monitoring configuration instead of creating too many monitoring configurations.\n\n### Are there any special considerations when monitoring Always On clusters?\n\n* It is recommended to create two distinct monitoring configurations when monitoring an Always On cluster:\n * First monitoring configuration with only the \"Always On\" feature set enabled and connected exclusively to primary replicas within the cluster.\n * Second monitoring configuration with every feature set enabled except for \"Always On\" (disabled within the second monitoring configuration) with a connection to **all** instances within the cluster.\n * This configuration will ensure that full infrastructure observability is enabled for every instance within the cluster while the data related to Always On is reliably collected from the primary replicas.\n* It is recommended to create a separate monitoring configuration to monitor Always On clusters and only create endpoints to primary replicas. Due to built-in limitations of Always On, the secondary replicas do not have full information about the entire Always On cluster they belong to.\n* Connecting to both the primary and secondary replica in the same Always On cluster while having the \"Always On\" feature set enabled for both of them will result in duplicate metrics as well as distorted monitoring and is highly discouraged.\n\n### What authentication schemas are supported?\n\n* The following authentication types are supported\n * Basic authentication\n * Kerberos\n * NTLM\n\n### Are self-signed SSL certificates and PKCS12 truststores supported?\n\n* Yes, certificates signed with a non-public signing chain must be added to a truststore.\n* When an encryption certificate is generated using a non-publicly verifiable certificate authority, that CA must be made known to the ActiveGate.\n* See [instructions on adding a truststore](https://docs.dynatrace.com/docs/extend-dynatrace/extensions20/data-sources/sql/microsoft-sql-monitoring#ssl) for a step-by-step guide.\n"
},
"sourceId": "blocks_1"
},
{
"type": "markdown",
"properties": {
"title": "DDU Consumption",
"source": "DDUs are consumed at 0.001 DDU from your available quota for each ingested data point.\nEach enabled feature set increases DDU consumption. The \"default\" feature set cannot be turned off.\n\nDDU consumption for each metric (per hour) is calculated as follows:\n`number of unique associated entities * retrieval frequency per hour * 0.001 DDUs per data point`\n\nExample:\n\n* Metric: `sql-server.databases.backup.size`\n* Associated entity: SQL Server Database\n* Number of unique associated entities:\n * Let's assume we monitor `2` instances with `20` databases in each.\n * Therefore, there are `2 (SQL Server Instances) * 20 (SQL Server Databases in each) = 40` unique databases in total.\n* Retrieval frequency per hour: `60` (metric is retrieved every minute).\n* Total DDU consumption for this metric over the environment (per hour): `40 * 60 * 0.001 = 2.4 DDUs`.\n* Total DDU consumption for this metric over the environment (per year): `2.4 * 24 * 365 = 21,024 DDUs`.\n\n### Feature Sets\n#### default\n\n* `sql-server.memory.target`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.memory.physical`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.databases.state`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.uptime`\n * Associated entity: SQL Server Instance\n * Frequency: 12 times per hour (every 5 minutes)\n * Data points per hour: `number of SQL Server Instances in environment * 12`\n* `sql-server.databases.transactions.count`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.memory.total`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.cpu.kernelTime.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.general.userConnections`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.general.processesBlocked`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.general.logins.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.cpu.userTime.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.memory.virtual`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.host.cpus`\n * Associated entity: SQL Server Host\n * Frequency: 12 times per hour (every 5 minutes)\n * Data points per hour: `number of SQL Server Hosts in environment * 12`\n\n#### Always On\n\n* `sql-server.always-on.ag.secondaryRecoveryHealth`\n * Associated entity: SQL Server Availability Group\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Groups in environment * 60`\n* `sql-server.always-on.ag.primaryRecoveryHealth`\n * Associated entity: SQL Server Availability Group\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Groups in environment * 60`\n* `sql-server.always-on.ar.failoverMode`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n* `sql-server.always-on.ag.synchronizationHealth`\n * Associated entity: SQL Server Availability Group\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Groups in environment * 60`\n* `sql-server.always-on.ar.operationalState`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n* `sql-server.always-on.ar.connectedState`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n* `sql-server.always-on.db.filestreamSendRate`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.db.state`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.db.synchronizationHealth`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.db.logSendQueueSize`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.ar.role`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n* `sql-server.always-on.db.synchronizationState`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.db.redoRate`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.db.redoQueueSize`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.ar.synchronizationHealth`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n* `sql-server.always-on.db.logSendRate`\n * Associated entity: SQL Server Availability Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Databases in environment * 60`\n* `sql-server.always-on.ar.availabilityMode`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n* `sql-server.always-on.ag.automatedBackupPreference`\n * Associated entity: SQL Server Availability Group\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Groups in environment * 60`\n* `sql-server.always-on.ar.isLocal`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n* `sql-server.always-on.ar.recoveryHealth`\n * Associated entity: SQL Server Availability Replica\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Availability Replicas in environment * 60`\n\n#### Backups\n\n* `sql-server.databases.backup.age`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.backup.size`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n\n#### Database files\n\n* `sql-server.databases.file.emptySpace`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.file.size`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.file.usedSpace`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `largest_files`\n * Associated Entity: SQL Server Instance\n * Frequency: 12 times per hour (Every 5 minutes)\n * Data points per hour: `Up to 100 (num of files) * 12 * avg log size`\n\n#### Latches\n\n* `sql-server.latches.waits.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.latches.averageWaitTime.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n\n#### Locks\n\n* `sql-server.locks.timeouts.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.locks.waits.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.locks.waitTime.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.locks.deadlocks.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n\n#### Memory\n\n* `sql-server.buffers.checkpointPages.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.memory.grantsOutstanding`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.memory.connection`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.buffers.pageWrites.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.buffers.pageLifeExpectancy`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.memory.grantsPending`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.buffers.cacheHitRatio`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.buffers.freeListStalls.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.buffers.pageReads.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n\n#### Queries\n\n* `sql-server.sql.recompilations.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.sql.compilations.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.sql.batchRequests.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `longest_queries`\n * Associated Entity: SQL Server Instance\n * Frequency: 12 times per hour (Every 5 minutes)\n * Data points per hour: `Up to 100 (num of queries) * 12 * avg log size`\n\n#### Replication\n\n* `sql-server.replica.bytesSentToTransport.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.replica.sends.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.replica.sendsToTransport.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.replica.bytesReceived.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.replica.bytesSent.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.replica.resentMessages.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n* `sql-server.replica.receives.count`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n\n#### Sessions\n\n* `sql-server.sessions`\n * Associated entity: SQL Server Instance\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Instances in environment * 60`\n\n#### Transaction logs\n\n* `sql-server.databases.log.flushWaits.count`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.log.filesUsedSize`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.log.growths.count`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.log.truncations.count`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.log.shrinks.count`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.log.filesSize`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n* `sql-server.databases.log.percentUsed`\n * Associated entity: SQL Server Database\n * Frequency: 60 times per hour (every 1 minute)\n * Data points per hour: `number of SQL Server Databases in environment * 60`\n\n#### Jobs\n\n* `current_jobs`\n * Associated Entity: SQL Server Instance\n * Frequency: 12 times per hour (Every 5 minutes)\n * Data points per hour: `Number of currently enabled jobs * 12 * avg log size`\n* `failed_jobs`\n * Associated Entity: SQL Server Instance\n * Frequency: 12 times per hour (Every 5 minutes)\n * Data points per hour: `top 100 failed jobs * 12 * avg log size`\n\n* note on `current_jobs`, `failed_jobs`, `longest_queries`, and `largest_files`: These metrics are based on Log data. As every environment is different the calculation needs to be estimated on the client side. Then calculate the data size ingested. Currently, 100 DDUs are consumed per GB ingested. Please refer to the DDU consumption model for Log Management and Analytics in the documentation. If you are on Log Monitoring Classic: each log record (line, message, entry) deducts 0.005 DDU from your available qouta. Please refer to the DDUs for Log Monitoring Classic in the documentation."
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"type": "markdown",
"properties": {
"title": "Breaking changes",
"source": "* `v2.0.0`:\n * All monitoring configurations need to be recreated because of change in feature sets. \n * The `instance` dimension now only contains the name of the actual named instance or `MSSQLSERVER` by default.\n * The `hoursSinceBackup` metric is removed and replaced by `sql-server.databases.backup.age`.\n* `v1.2.0`:\n * When updating monitoring configurations to version *1.2.0+*, feature sets need to be enabled for the monitoring to continue."
},
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{
"type": "markdown",
"properties": {
"title": "Permissions",
"source": "Each available Feature Set is supported by a corresponding set of SQL Server types. For details on the individual permissions that must be granted to the extension user for each Feature Set, please refer to the *Involved Views and Tables* section and the granular permission details for each system view provided below.\n\n### Supported systems and involved system views per feature set\n\n#### default\n\nSupported on:\n\n* SQL Server (all versions)\n* Azure SQL Database\n* Azure SQL Managed Instance\n* Azure Synapse Analytics\n* Analytics Platform System (PDW)\n\nViews and tables involved:\n\n* sys.dm_os_sys_info\n* sys.dm_os_performance_counters\n* sys.databases\n\n#### Memory\n\nSupported on:\n\n* SQL Server (all versions)\n* Azure SQL Database\n* Azure SQL Managed Instance\n* Azure Synapse Analytics\n* Analytics Platform System (PDW)\n\nInvolved Views and Tables:\n\n* sys.dm_os_performance_counters\n\n#### Locks\n\nSupported on:\n\n* SQL Server (all versions)\n* Azure SQL Database\n* Azure SQL Managed Instance\n* Azure Synapse Analytics\n* Analytics Platform System (PDW)\n\nInvolved Views and Tables:\n\n* sys.dm_os_performance_counters\n\n#### Latches\n\nSupported on:\n\n* SQL Server (all versions)\n* Azure SQL Database\n* Azure SQL Managed Instance\n* Azure Synapse Analytics\n* Analytics Platform System (PDW)\n\nInvolved Views and Tables:\n\n* sys.dm_os_performance_counters\n\n#### Queries\n\n* Monitoring query performance stats\n \n Supported on:\n\n * SQL Server (all versions)\n\n Involved Views and Tables:\n\n * sys.dm_os_performance_counters\n\n* Monitoring TOP longest queries\n\n Supported on:\n\n * SQL Server (2016 and later)\n * Azure SQL Database\n * Azure SQL Managed Instance\n * Azure Synapse Analytics\n\n Involved Views and Tables:\n\n * sys.query_store_runtime_stats\n * sys.query_store_plan\n * sys.query_store_query\n * sys.query_store_query_text\n\n#### Replication\n\nSupported on:\n\n* SQL Server (all versions)\n* Azure SQL Database\n* Azure SQL Managed Instance\n* Azure Synapse Analytics\n* Analytics Platform System (PDW)\n\nInvolved Views and Tables:\n\n* sys.dm_os_performance_counters\n\n#### Sessions\n\nSupported on:\n\n* SQL Server (all versions)\n* Azure SQL Database\n* Azure SQL Managed Instance\n* Azure Synapse Analytics\n* Analytics Platform System (PDW)\n* SQL analytics endpoint in Microsoft Fabric\n* Warehouse in Microsoft Fabric\n\nInvolved Views and Tables:\n\n* sys.dm_exec_sessions\n\n#### Transaction logs\n\nSupported on:\n\n* SQL Server (all versions)\n* Azure SQL Database\n* Azure SQL Managed Instance\n* Azure Synapse Analytics\n* Analytics Platform System (PDW)\n\nInvolved Views and Tables:\n\n* sys.dm_os_performance_counters\n\n#### Backups\n\n* Monitoring age of latest backup and individual backups per database\n\n Supported on:\n\n * SQL Server (all versions)\n * Azure SQL Managed Instance\n\n Involved Views and Tables:\n\n * sys.databases\n * msdb.dbo.backupset\n * msdb.dbo.backupmediafamily\n * msdb.dbo.backupmediaset\n\n* Monitoring backup files size per database\n\n Supported on:\n\n * SQL Server (all versions)\n\n Involved Views and Tables:\n\n * sys.databases\n * msdb.dbo.backupset\n * msdb.dbo.backupmediafamily\n * msdb.dbo.backupmediaset\n * msdb.dbo.backupfile\n * sys.master_files\n\n* Monitoring individual Azure SQL Database backups\n\n Supported on:\n\n * Azure SQL Database\n\n Involved Views and Tables:\n\n * sys.db_database_backups\n\n#### Database files\n\n* Monitoring database files stats\n\n Supported on:\n\n * SQL Server (all versions)\n * Azure SQL Managed Instance\n * Analytics Platform System (PDW)\n\n Involved Views and Tables:\n\n * sys.master_files\n\n* Monitoring largest database files on Azure SQL Database\n\n Supported on:\n\n * Azure SQL Database\n\n Involved Views and Tables:\n\n * sys.database_files\n\n* Monitoring largest database files on other SQL Server types\n\n Supported on:\n\n * SQL Server (all versions)\n * Azure SQL Managed Instance\n * Analytics Platform System (PDW)\n\n Involved Views and Tables:\n\n * sys.master_files\n\n#### Always On\n\nSupported on:\n\n* SQL Server (2016 and later)\n\nInvolved Views and Tables:\n\n* sys.availability_groups\n* sys.availability_replicas\n* sys.availability_databases_cluster\n* sys.dm_hadr_availability_group_states\n* sys.dm_hadr_availability_replica_states\n* sys.dm_hadr_database_replica_states\n\n#### Jobs\n\nSupported on:\n\n* SQL Server (all versions)\n\nInvolved Views and Tables\n\n* msdb.dbo.sysjobs\n* msdb.dbo.sysjobsteps\n* msdb.dbo.sysjobhistory\n* msdb.dbo.sysjobservers\n* msdb.dbo.sysjobactivity\n* msdb.dbo.systargetservers\n\nRequired permissions:\n\n* [Official SQL Server documentation](https://learn.microsoft.com/en-us/sql/ssms/agent/configure-a-user-to-create-and-manage-sql-server-agent-jobs?view=sql-server-ver16&redirectedfrom=MSDN)\n\n### Specific permissions required per system view\n\n#### sys.dm_os_sys_info\n\n* SQL Server (2022 and later)\n * `VIEW SERVER PERFORMANCE STATE` permission.\n* SQL Server (up to 2019)\n * `VIEW SERVER STATE` permission.\n* Azure SQL Database (Basic, S0, S1 service objectives and for databases in elastic pools)\n * [Server admin](https://learn.microsoft.com/en-us/azure/azure-sql/database/logins-create-manage#existing-logins-and-user-accounts-after-creating-a-new-database) account; or\n * [Azure Active Directory admin](https://learn.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-overview#administrator-structure) account; or\n * Membership in the `##MS_ServerStateReader##` [server role](https://learn.microsoft.com/en-us/azure/azure-sql/database/security-server-roles).\n* Azure SQL Database (All other service objectives)\n * `VIEW DATABASE STATE` permission on the database; or\n * `##MS_ServerStateReader##` server role.\n* Azure SQL Managed Instance\n * `VIEW SERVER STATE` permission.\n\n#### sys.dm_os_performance_counters\n\n* SQL Server (2022 and later)\n * `VIEW SERVER PERFORMANCE STATE` permission.\n* SQL Server (up to 2019)\n * `VIEW SERVER STATE` permission.\n* Azure SQL Database (Basic, S0, S1 service objectives and for databases in elastic pools)\n * [Server admin](https://learn.microsoft.com/en-us/azure/azure-sql/database/logins-create-manage#existing-logins-and-user-accounts-after-creating-a-new-database) account; or\n * [Azure Active Directory admin](https://learn.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-overview#administrator-structure) account; or\n * Membership in the `##MS_ServerStateReader##` [server role](https://learn.microsoft.com/en-us/azure/azure-sql/database/security-server-roles).\n* Azure SQL Database (All other service objectives)\n * `VIEW DATABASE STATE` permission on the database; or\n * `##MS_ServerStateReader##` server role.\n* Azure SQL Managed Instance\n * `VIEW SERVER STATE` permission.\n\n#### sys.databases\n\n* Azure SQL Database\n * Connect to `master` database for all databases to be visible.\n * When connecting to a user database, only the current database and the `master` database are visible.\n* Other supported types of SQL Server\n * To see just the database extension is connected to:\n * No additional permissions are required.\n * To see all `ONLINE` databases:\n * `VIEW ANY DATABASE` (default permission for the public role)\n * To see all `OFFLINE` databases as well:\n * `ALTER ANY DATABASE` on server level; or\n * `CREATE DATABASE` permission in the `master` database.\n\n#### sys.query_store_runtime_stats\n\n* All supported types of SQL Server\n * `VIEW DATABASE STATE` permission.\n\n#### sys.query_store_plan\n\n* All supported types of SQL Server\n * `VIEW DATABASE STATE` permission.\n\n#### sys.query_store_query\n\n* All supported types of SQL Server\n * `VIEW DATABASE STATE` permission.\n\n#### sys.query_store_query_text\n\n* All supported types of SQL Server\n * `VIEW DATABASE STATE` permission.\n\n#### sys.dm_exec_sessions\n\n* To see the sessions of the user extension connects with:\n * No additional permissions are required.\n* To see all sessions within the database extension is connected to:\n * `VIEW DATABASE STATE` permission.\n* To see all sessions on the server:\n * SQL Server (2022 and later)\n * `VIEW SERVER PERFORMANCE STATE` permission.\n * SQL Server (up to 2019)\n * `VIEW SERVER STATE` permission.\n\n#### msdb.dbo.backupset\n\n* Available as read-only to any user with public level access to the instance.\n\n#### msdb.dbo.backupfile\n\n* Available as read-only to any user with public level access to the instance.\n\n#### msdb.dbo.backupmediafamily\n\n* Available as read-only to any user with public level access to the instance.\n\n#### msdb.dbo.backupmediaset\n\n* Available as read-only to any user with public level access to the instance.\n\n#### sys.master_files\n\n* All supported types of SQL Server:\n * `VIEW ANY DEFINITION`; or\n * `CREATE DATABASE`; or\n * `ALTER ANY DATABASE`.\n\n#### sys.database_files\n\n* All supported types of SQL Server:\n * Requires membership in the **public** role, see [Metadata Visibility Configuration](https://learn.microsoft.com/en-us/sql/relational-databases/security/metadata-visibility-configuration?view=sql-server-ver16).\n\n#### sys.availability_groups\n\n* All supported types of SQL Server:\n * `VIEW ANY DEFINITION` permission.\n\n#### sys.availability_replicas\n\n* All supported types of SQL Server:\n * `VIEW ANY DEFINITION` permission.\n\n#### sys.availability_databases_cluster\n\n* All supported types of SQL Server:\n * If the user with which extension makes the calls is the owner of the database, no additional permissions are required.\n * Otherwise:\n * `VIEW ANY DATABASE`; or\n * `ALTER ANY DATABASE`; or\n * `CREATE DATABASE` permission in `master` is required.\n\n#### sys.dm_hadr_availability_group_states\n\n* SQL Server (2022 and later)\n * `VIEW SERVER PERFORMANCE STATE` permission.\n* SQL Server (up to 2019)\n * `VIEW SERVER STATE` permission.\n\n#### sys.dm_hadr_availability_replica_states\n\n* SQL Server (2022 and later)\n * `VIEW SERVER PERFORMANCE STATE` permission.\n* SQL Server (up to 2019)\n * `VIEW SERVER STATE` permission.\n\n#### sys.dm_hadr_database_replica_states\n\n* SQL Server (2022 and later)\n * `VIEW SERVER PERFORMANCE STATE` permission.\n* SQL Server (up to 2019)\n * `VIEW SERVER STATE` permission.\n\n#### sys.db_database_backups\n\n* Azure SQL Database (Basic, S0, S1 service objectives and for databases in elastic pools)\n * [Server admin](https://learn.microsoft.com/en-us/azure/azure-sql/database/logins-create-manage#existing-logins-and-user-accounts-after-creating-a-new-database) account; or\n * Microsoft Entra ID admin account; or\n * Membership in the `##MS_ServerStateReader##` [server role](https://learn.microsoft.com/en-us/azure/azure-sql/database/security-server-roles).\n* Azure SQL Database (All other service objectives)\n * `VIEW DATABASE STATE` permission on the database; or\n * `##MS_ServerStateReader##` server role."
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"type": "markdown",
"properties": {
"title": "Limitations",
"source": "### Aggregated metrics for database files\n\nThe two metrics below\n\n* `sql-server.databases.file.usedSpace`\n* `sql-server.databases.file.emptySpace`\n\nare only reported for the database the extension is currently connected to. This is due to `sys.allocation_units` only containing information about used pages of the database that is currently used inside the connection.\n\n### Top busiest queries\n\n* Top queries are only collected for a single database.\n* Top queries **cannot** be collected for `master` database (limitation of SQL Server itself).\n\n### Azure backups\n\nAzure backups are monitored by querying the `sys.db_database_backups` view which is currently available for all Azure SQL Database service tiers except Hyperscaler.\n\n### Always On\n\nTo obtain information about every replica in a given availability group, connect the extension to the server instance that is hosting the primary replica. When connected to a server instance that is hosting a secondary replica of an availability group, the extension returns only local information for the availability group.\n\nWhen connected to a secondary replica, the extension retrieves states of every secondary database on the server instance. On the primary replica, the extension returns data for each primary database and for the corresponding secondary database.\n\nDepending on the action and higher-level states, database-state information may be unavailable or out of date. Furthermore, the values have only local relevance. See [limitations of `sys.dm_hadr_database_replica_states`](https://learn.microsoft.com/en-us/sql/relational-databases/system-dynamic-management-views/sys-dm-hadr-database-replica-states-transact-sql?view=azuresqldb-current).\n\nWhen a database is added to an availability group, the primary database is automatically joined to the group. Secondary databases must be manually prepared on each secondary replica before they can be joined to the availability group.\n\nIf the local server instance cannot communicate with the WSFC failover cluster, for example, because the cluster is down or quorum has been lost, only rows for local availability replicas are returned. These rows will contain only the columns of data that are cached locally in metadata."
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"sourceId": "blocks_5"
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],
"modified": "2024-08-07T21:51:57.372211Z",
"created": "2022-07-21T14:59:19.020846Z",
"seo_title": "SQL Server Monitoring",
"seo_description": "System, backup, Always On, jobs, and performance monitoring. Query level observability and state management.",
"customer_story": {
"quote": "With such a diverse technology stack, not many solutions were able to meet all our needs, but Dynatrace was the exception.",
"person": {
"name": "Alex Hibbitt",
"title": "Engineering Director, SRE & Fulfillment"
},
"company": {
"logo": null,
"title": "Photobox"
},
"link_to": {
"href": "https://www.dynatrace.com/customers/photobox/",
"target": null,
"href_text": "See their story"
}
},
"marketing_related_content": [],
"screenshots": [
"https://dt-cdn.net/hub/instance_y3qDDde_DFVbvoa.jpg",
"https://dt-cdn.net/hub/instance-sql-locks_UslwdGv_o9z93sB.jpg",
"https://dt-cdn.net/hub/longest-queries_Z3Dh71t_7CKxicE.jpg",
"https://dt-cdn.net/hub/largest-files_GNINPWc_kmgq4cl.jpg",
"https://dt-cdn.net/hub/instance-buffer-manager_EYT8lOu_LRF1ZV3.jpg"
],
"about": "Microsoft SQL Server database monitoring is based on a remote monitoring approach implemented as a Dynatrace ActiveGate extension. The extension queries MS SQL databases for key performance and health metrics, extending your visibility, and allowing DAVIS AI to provide anomaly detection and problem analysis.",
"use_cases": "* Understand the impact of resource shortages, locks or other database issues have on your application by observing the database server itself.\n* Track health and performance of the MS SQL servers",
"supported_distributions": "### Supported types of SQL Server\n\n* SQL Server *(editions: Enterprise, Standard, Developer, Web, Express) on Windows servers.*\n* Azure SQL Database.\n* Azure SQL Managed Instance.\n\n**Important note:** The extension is reported to work with other types of SQL Server, such as AWS RDS or SQL Server on Linux, but they are not officially supported.\n\n### Supported types of HA or replication\n\n* Always On\n\n**Important note:** Other types of replication and HA monitoring, including publisher/subscriber model, are not supported yet.\n\n### Supported versions of SQL Server\n\nAny version of SQL Server with active extended support by Microsoft is supported by this extension.\nPlease refer to the official Microsoft documentation about [lifecycle dates for SQL Server](https://docs.microsoft.com/en-us/sql/sql-server/end-of-support/sql-server-end-of-life-overview?view=sql-server-ver15).\n\n### Simultaneous use of different versions of extension\n\n* Running two or more different versions of the extension against the same SQL Server is **not supported**.\n* Running different major versions (for example, version 1 and version 2) of the extension on the same tenant is **highly discouraged** and is **not supported**. This will break the topology model.\n\n### Compatibility with OneAgent \n\n* In order for SQL Server Instance entity to be linked to the Host entity, they must share the same IP address. If the monitoring configuration for SQL Server is configured with a different IP address, two instances will not be linked with each other.",
"get_started": "### Activation\n\n* Activate Extension in the Hub: *Dynatrace Hub → SQL Server → Add to environment*.\n* Add a monitoring configuration with endpoints that connect to individual SQL Server instances.\n* Enabling [log monitoring](https://docs.dynatrace.com/docs/observe-and-explore/logs/log-monitoring) will activate extension status logs and allow for monitoring of the longest running queries and largest database files."
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.sql-server@2.7.1",
"fqn": "com.dynatrace.extension.sql-server",
"version": "2.7.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-server/com.dynatrace.extension.sql-server-2.7_lDh6mb6.zip",
"release_notes": "#### Fixed in this version:\n\n- Sorting SQL statements in Databases app would produce duplicate results",
"created": "2025-01-06T11:48:02.423032Z"
},
{
"name": "com.dynatrace.extension.sql-server@2.7.0",
"fqn": "com.dynatrace.extension.sql-server",
"version": "2.7.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-server/com.dynatrace.extension.sql-server-2.7_vPycHKN.zip",
"release_notes": "##### New Entity\n- SQL Agent added to topology\n\n##### New Metrics\n- Agent Status\n- Failed Distributed Transactions Count\n\n##### New Log Ingests\n- Top 25 Agent Queries running longer than 60 seconds\n- Top 25 Application Queries running longer than 60 seconds\n\n### Bug Fixes\n- Fixed an issue where Databases App did not display Uptime Hours due to syntax error.\n- Fixed Arithmetic Overflow Error that had a chance to occur in large environments on the Largest Files Managed calculation.",
"created": "2024-11-27T10:33:42.464860Z"
},
{
"name": "com.dynatrace.extension.sql-server@2.6.0",
"fqn": "com.dynatrace.extension.sql-server",
"version": "2.6.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-server/com.dynatrace.extension.sql-server-2.6_yBO8qSH.zip",
"release_notes": "Improvements\n----------------\n- Execution Plan fetching now done in Databases App\n- Instance entity parsing from log records\n\nChanges\n----------------\n- Removed query plan from longest_queries query\n- Show latest back-up age",
"created": "2024-10-17T04:22:37.634541Z"
},
{
"name": "com.dynatrace.extension.sql-server@2.5.4",
"fqn": "com.dynatrace.extension.sql-server",
"version": "2.5.4",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-server/com.dynatrace.extension.sql-server-2.5_y5Kx2Q2.zip",
"release_notes": "**Improvements**:\n\n- Added default value for `availability.replica.instance` dimension: `MSSQLSERVER`.\n\n This enables the SAME AS relationship between the `sql:sql_server_instance` and `sql:sql_server_availability_replica` entities based on the equality of their respective attributes: `server = ar_server_name` and `instance = ar_instance_name`. \n\n Previously, if the replica was running on an instance that had a default name, the relationshp wasn't being established.",
"created": "2024-08-09T18:27:11.535741Z"
},
{
"name": "com.dynatrace.extension.sql-server@2.5.3",
"fqn": "com.dynatrace.extension.sql-server",
"version": "2.5.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-server/com.dynatrace.extension.sql-server-2.5_uLTlbLb.zip",
"release_notes": "**Bug fixes**:\n\n- Fixed typo in the metric description of the `sql-server.databases.log.percentUsed`.\n ",
"created": "2024-08-07T21:50:27.179694Z"
},
{
"name": "com.dynatrace.extension.sql-server@2.5.2",
"fqn": "com.dynatrace.extension.sql-server",
"version": "2.5.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-server/com.dynatrace.extension.sql-server-2.5_yfPx6bh.zip",
"release_notes": "**Bug fixes**:\n\n- Added `SAME_AS` relationship from `sql:sql_server_availability_replica` to `sql:sql_server_instance` based on the matching `ar_server_name` -> `server` and `ar_instance_name` -> `instance` attributes.\n",
"created": "2024-07-05T12:53:19.050005Z"
},
{
"name": "com.dynatrace.extension.sql-server@2.5.1",
"fqn": "com.dynatrace.extension.sql-server",
"version": "2.5.1",
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"release_notes": "**Bug fixes**:\n\n- Hotfix for backup age retrieval in metric `sql-server.databases.backup.age`. Release 2.5.0 introduced a bug where age of the oldest backup instead of the latest one was retrieved.\n ",
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"unit": "MilliSecond",
"description": "Time taken to connect to a ADB-S database in each region from a VM in the same region.",
"displayName": "Connection Latency"
}
},
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"key": "cloud.oci.database.autonomous.query_latency",
"metadata": {
"unit": "MilliSecond",
"description": "Time taken to display results of a simple query.",
"displayName": "Query Latency"
}
},
{
"key": "cloud.oci.database.autonomous.session_logical_reads",
"metadata": {
"unit": "Count",
"description": "Sum of \"db block gets\" plus \"consistent gets\".",
"displayName": "Session Logical Reads"
}
},
{
"key": "cloud.oci.database.autonomous.db_block_changes",
"metadata": {
"unit": "Count",
"description": "Number of changes that where part of an update or delete operation to all blocks in SGA.",
"displayName": "DB Block Changes"
}
},
{
"key": "cloud.oci.database.autonomous.physical_reads",
"metadata": {
"unit": "Count",
"description": "Number of data blocks read from disk.",
"displayName": "Physical Reads"
}
},
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"metadata": {
"unit": "Count",
"description": "Number of data blocks written to disk.",
"displayName": "Physical Writes"
}
},
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"key": "cloud.oci.database.autonomous.physical_read_bytes",
"metadata": {
"unit": "Count",
"description": "Size in bytes of disk reads by all database instance activity.",
"displayName": "Physical Read Total Bytes"
}
},
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"metadata": {
"unit": "Count",
"description": "Size in bytes of disk writes by all database instance activity.",
"displayName": "Physical Write Total Bytes"
}
}
]
},
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"metrics": [
{
"key": "cloud.oci.database.autonomous.sessions",
"metadata": {
"unit": "Count",
"description": "Number of sessions in the database.",
"displayName": "Sessions"
}
},
{
"key": "cloud.oci.database.autonomous.executes",
"metadata": {
"unit": "Count",
"description": "Number of user and recursive calls that executed SQL statements.",
"displayName": "Execute Count"
}
},
{
"key": "cloud.oci.database.autonomous.running_statements",
"metadata": {
"unit": "Count",
"description": "Number of running SQL statements aggregated accross all consumer groups.",
"displayName": "Running Statements"
}
},
{
"key": "cloud.oci.database.autonomous.queued_statements",
"metadata": {
"unit": "Count",
"description": "Number of queued SQL statements aggregated accross all consumer groups.",
"displayName": "Queued Statements"
}
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{
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"metadata": {
"unit": "Count",
"description": "Combined number of user commits and user rollbacks.",
"displayName": "Transaction Count"
}
},
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"unit": "Count",
"description": "Combined number of logons, parses, and execute calls.",
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}
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"metadata": {
"unit": "Count",
"description": "Number of hard and soft parses.",
"displayName": "Total Parse Count"
}
},
{
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"metadata": {
"unit": "Count",
"description": "Number of logons that failed due to an invalid username and/or password.",
"displayName": "Failed Logons"
}
},
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"unit": "Count",
"description": "Number of failed database connections.",
"displayName": "Failed Connections"
}
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"unit": "Count",
"description": "Number of user commits.",
"displayName": "User Commits"
}
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"metadata": {
"unit": "Count",
"description": "Number of times users manually issue the ROLLBACK statement or an error occurs during user's transactions.",
"displayName": "User Rollbacks"
}
},
{
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"description": "Amount of redo generated in bytes.",
"displayName": "Redo Size"
}
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"unit": "Count",
"description": "Number of bytes received from a database link over Oracle Net Services.",
"displayName": "Bytes Received via SQL*Net from DBLink"
}
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"unit": "Count",
"description": "Number of bytes sent over a database link over Oracle Net Services.",
"displayName": "Bytes Sent via SQL*Net to DBLink"
}
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"description": "Number of bytes received from the client over Oracle Net Services.",
"displayName": "Bytes Received via SQL*Net from Client"
}
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"metadata": {
"unit": "Count",
"description": "Number of bytes sent to the client from the foreground processes.",
"displayName": "Bytes Sent via SQL*Net to Client"
}
}
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"metrics": [
{
"key": "cloud.oci.database.autonomous.apex_page_events",
"metadata": {
"unit": "Count",
"description": "Number of APEX page events.",
"displayName": "APEX Page Events"
}
},
{
"key": "cloud.oci.database.autonomous.apex_page_load_time",
"metadata": {
"unit": "Second",
"description": "Average APEX page execution time.",
"displayName": "APEX Page Load Time"
}
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{
"key": "cloud.oci.database.autonomous.apex_active_applications",
"metadata": {
"unit": "Count",
"description": "Number of APEX applications with activity.",
"displayName": "Active APEX Applications"
}
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{
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"metadata": {
"unit": "Count",
"description": "Total number of user-created workspaces.",
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"title": "Overview",
"source": "This extension monitors basics of the Oracle Autonomous Database, providing server-side observability on the database engine availability and performance level. This extension provides a light alternative to the [Oracle Database](https://www.dynatrace.com/hub/detail/oracle-database/?query=oracle&filter=all) monitoring extension that is compatible with OCI Autonomous DB."
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"title": "Use cases",
"source": "- Monitor availability of the Autonomous DB and the underlying Oracle Cloud Infrastructure health.\n- Track usage of the database storage and network resources.\n- Track database usage in terms of users, logins, sessions, number of queries executed.\n- Understand the resource impact that your applications have on the Autonomous DB, including wait times.\n- Understand the impact that databse-side resource shortages have on your application."
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"source": "This extension is executed by the ActiveGate (remote monitoring). You must have an ActiveGate provisioned in your environment and networking set up so the ActiveGate can connect to the subject OCI tenant containing the Autonomous Database you are about to monitor.\n\nTo start, activate the extension in your environment using the in-product Hub. Then provide your OCI monitoring endpoint whereabouts. You will need to provide:\n\n- Compartment ID\n- Tenancy\n- User\n- Fingerprint\n- Region\n- Path location of a PEM key file which extension will use to sign OCI monitoring API requests\n\nNote: The User account provided in the configuration must also have the minimum permissions listed below to collect metrics for all feature sets.\n\n```\n- Allow group <group name> to read metrics in compartment <compartment name>\n```\n\nThe PEM key file will need to be placed on any ActiveGate that is running the extension, in a location that is accessible to the extension. The recommended default location for the PEM file is:\n\n- **Linux**:\n ```\n <CONFIG>/remotepluginmodule/agent/conf/certificates/\n (default: /var/lib/dynatrace/remotepluginmodule/agent/conf/certificates/)\n ```\n- **Windows**:\n ```\n %PROGRAMDATA%\\dynatrace\\remotepluginmodule\\agent\\conf\\certificates\n ```\n\nRefer to Oracle documentation for details on how to set up the monitoring endpoint access:\n\n- [OCI API concepts](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/usingapi.htm)\n- [API signing key handling](https://docs.oracle.com/en-us/iaas/Content/General/Concepts/credentials.htm#API)\n- [Overview of OCI monitoring](https://docs.oracle.com/en-us/iaas/Content/Monitoring/Concepts/monitoringoverview.htm)"
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"properties": {
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"source": "This extension is built on top of the Extension Framework 2.0 and delivers:\n\n- Metrics retrieved from the OCI API (extension internally uses Python to connect to the OCI API)\n- A Dashboard\n- Topology definition\n- Unified Analysis screens"
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"source": "### Q: How does this extension stack versus the Oracle Database monitoring extension?\n\nA: This extension offers a lightweight, limited alternative to the [Oracle Database](https://www.dynatrace.com/hub/detail/oracle-database/?query=oracle&filter=all) monitoring extension, specifically for the Autonomous DB on OCI.\n\nThis extension lets you monitor basics of the database performance, using alternative REST API source of metrics provided by the [Oracle Cloud Infrastructure](https://www.dynatrace.com/hub/detail/oracle-cloud-infrastructure/?query=oracle&filter=all) APIs.\n\n### Q: Can I use the regular Oracle DB extension to monitor my Autonomous DB?\n\nA: [Oracle Database](https://www.dynatrace.com/hub/detail/oracle-database/?query=oracle&filter=all) monitoring extension does not support Autonomous DB on OCI. This limitation roots down to the Oracle SQL data source that doesn't support certificate-based authentication, which OCI requires.\n\n### Q: Can I monitor SQL query performance on my Autonomous DB?\n\nA: Query-level statistics are not available in this extension. Use OneAgent on your app servers to obtain insight into SQL queries that your app servers execute against the Autonomous DB.\n\n### Q: Should I use both Oracle Database monitoring extension and this extension together for complete Autonomous DB monitoring?\n\nA: No. This extension provides a subset of metrics that the [Oracle Database](https://www.dynatrace.com/hub/detail/oracle-database/?query=oracle&filter=all) extension offers.\n\n### Q: Does this extension support proxy for monitoring API acceess?\n\nA: Yes. See [Oracle Cloud Infrastructure](https://www.dynatrace.com/hub/detail/oracle-cloud-infrastructure/?query=oracle&filter=all) hub tile for details on how proxy support works with OCI.\n\n### Q: What is the DDU Consumption of this extension?\n\nA: Metric to DDU consumption multiplier for each Autonomous Database monitored is:\n\n```\n40 * 525.6 DDUs/year\n```\n\nDDU cost above does not include any possible Log events or Custom events triggered by the extension. For more information on this, please visit the [DDU log event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/log-monitoring-consumption) and [DDU custom event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/ddu-events) pages.\n"
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"get_started": "If CakePHP is running directly on a virtual machine, [install OneAgent](https://www.dynatrace.com/support/help/shortlink/oneagent-installation-subsection) on that virtual machine to get started.\n\nIf CakePHP is running as a workload in Kubernetes, [set up Dynatrace on Kubernetes](https://www.dynatrace.com/support/help/shortlink/kubernetes-hub).\n\nIf CakePHP is running as a workload in OpenShift, [set up Dynatrace on OpenShift](https://www.dynatrace.com/support/help/shortlink/openshift-hub).\n\n[Activate log monitoring](https://www.dynatrace.com/support/help/shortlink/log-monitoring-hub-v2) to get full log insight."
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"source": "This extension package contains: \n\n- Configuration for Google Pub/Sub Lite metric ingest based on your selected feature set ([see the full list of feature sets and metrics](https://www.dynatrace.com/support/help/setup-and-configuration/setup-on-cloud-platforms/google-cloud-platform/gcp-integrations/gcp-supported-service-metrics-new/cloud-pub-sub-lite-monitoring)) \n- Topology mapping and service instance analysis view \n- Google Pub/Sub Lite predefined alerts for: ```Google Pub/Sub Lite Topic Partition publish quota utilization ratio [GCP], Google Pub/Sub Lite Topic Partition subscribe quota utilization ratio [GCP]```\n\nTo provide correlation and causation analysis all ingested metrics and logs are analyzed by the Dynatrace Davis AI engine, which consumes [DDUs](https://dt-url.net/6ew1yvg )."
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"properties": {
"title": "Overview",
"source": "Our SAP HANA database monitoring solution is based on a remote monitoring approach implemented as a Dynatrace ActiveGate extension. The extension queries SAP HANA databases for key performance and health. Captured metrics include infrastructure measures (CPU, Disk, and Network metrics) as well as details related to Backups, Savepoints, Replication, and more. Dynatrace's DAVIS AI then analyzes these metrics to provide anomaly and problem analysis."
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"source": "**This is intended for users, who:**\n\n- Would like to monitor the health state and performance of their SAP HANA Databases.\n\n**This enables you to:**\n\n- Monitor infrastructure with a comprehensive dashboard \n- Detect traffic anomalies and alert on them \n- Take pre-emptive measures to avoid service degradations"
},
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"title": "Get started",
"source": "### Prerequisities\n- A SAP HANA database user with the `PUBLIC` and `MONITORING` roles\n- SAP HANA DB JDBC Driver downloaded from [here](https://repo1.maven.org/maven2/com/sap/cloud/db/jdbc/ngdbc/2.14.7/ngdbc-2.14.7.jar)\n - Copy `ngdbc-2.14.7.jar`to this directory on all your ActiveGates in your desired [group](https://www.dynatrace.com/support/help/shortlink/extensions-concepts#activegate-group)\n - **Windows** : `C:\\ProgramData\\dynatrace\\remotepluginmodule\\agent\\conf\\userdata\\libs`\n - **Linux** : `/var/lib/dynatrace/remotepluginmodule/agent/conf/userdata/libs`\n\n\nThen activate the extension in your environment using the in-product Hub, provide the necessary device configuration and you’re all set up.\n\n### **NOTE**\nStarting with **v2.0.0** the feature set `Table Information` was added. \n\n**This feature set is enabled by default for new monitoring configurations. Due to the nature of the metrics listed below, this can cause high licensing costs to be incurred.**\n\n- `sap.hana.db.service.table.locks` \n- `sap.hana.db.service.table.records`\n- `sap.hana.db.service.table.size`"
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"title": "Details",
"source": "This extension connects remotely via an ActiveGate to your SAP HANA Database using the credentials provided. It pulls a variety of metrics via the [Monitoring Views](https://help.sap.com/docs/HANA_SERVICE_CF/7c78579ce9b14a669c1f3295b0d8ca16/d3c10d23e8334a35afa8d9bdbc102366.html) provided by the database itself."
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"title": "FAQ",
"source": "### **Q: What is the Custom Metric Usage of this extension?**\n\nA: The formula for consumption of the extension is:\n\nPer Database & Host:\n```\nLogs : \n\tOut Of Memory Events -> Each event is ingested as a log message\n\tTrace File Information -> Each tracefile is ingested as a log message \n\tCurrent Alerts -> Each Current Alert is ingested as a log message \n\tExpensive Statements - Each Expensive Statement is ingested as a log message\n\nMetrics : \n\t(40 + (2 * <# of Schemas>) + (14 * <# of Services>) + (3 * <# of Schemas> * <Avg # of Tables per Schema>))\n```\n**NOTE: The # of Services is usually around 9.** This includes processes like the compileserver, indexserver, nameserver, webdispatcher, and xs* processes \n"
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"modified": "2024-08-28T20:52:12.065562Z",
"created": "2023-03-14T20:46:11.422236Z",
"seo_title": "SAP HANA Database (remote monitoring) monitoring & observability",
"seo_description": "Easily understand the health and performance of your SAP HANA databases. Start your free trial today!",
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"use_cases": "**This is intended for users, who:**\n\n- Would like to monitor the health state and performance of their SAP HANA Databases.\n\n**This enables you to:**\n\n- Monitor infrastructure with a comprehensive dashboard \n- Detect traffic anomalies and alert on them \n- Take pre-emptive measures to avoid service degradations",
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"get_started": "### Prerequisities\n- A SAP HANA database user with the `PUBLIC` and `MONITORING` roles\n- SAP HANA DB JDBC Driver downloaded from [here](https://repo1.maven.org/maven2/com/sap/cloud/db/jdbc/ngdbc/2.14.7/ngdbc-2.14.7.jar)\n - Copy `ngdbc-2.14.7.jar`to this directory on all your ActiveGates in your desired [group](https://www.dynatrace.com/support/help/shortlink/extensions-concepts#activegate-group)\n - **Windows** : `C:\\ProgramData\\dynatrace\\remotepluginmodule\\agent\\conf\\userdata\\libs`\n - **Linux** : `/var/lib/dynatrace/remotepluginmodule/agent/conf/userdata/libs`\n\n\nThen activate the extension in your environment using the in-product Hub, provide the necessary device configuration and you’re all set up.\n\n### **NOTE**\nStarting with **v2.0.0** the feature set `Table Information` was added. \n\n**This feature set is enabled by default for new monitoring configurations. Due to the nature of the metrics listed below, this can cause high licensing costs to be incurred.**\n\n- `sap.hana.db.service.table.locks` \n- `sap.hana.db.service.table.records`\n- `sap.hana.db.service.table.size`"
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.sql-sap-hana@2.2.0",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "2.2.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_Z2QwfyV.zip",
"release_notes": "### v2.2.0 \n- DXS-791 - Customize Host Name\n - Added new per-endpoint variable for custom host naming\n - This adds the `custom_host` dimension to all metrics\n - **NOTE:** This will create **NEW** entities if you edit/add this to existing configurations",
"created": "2024-07-29T21:55:38.403823Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@2.1.9",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "2.1.9",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_sbhrx8M.zip",
"release_notes": "### v2.1.9\n- Added `database` as attribute to Out Of Memory Events Log Messages \n- Added existing timeout variable to additional subgroups to help long running queries\n\n- **DXS-1270** - ( delta/count based Expensive Statement metrics may stop working as expected if the `SYS.M_EXPENSIVE_STATEMENTS` hits the table records limit)\n - Added new `sap.hana.db.sql.total_expensive_statements` Metric in \"Expensive Statement Metrics\" Feature Set \n - Added new **Extended Expensive Statement Metrics** Feature Set \n - Moved previous Expensive Statement Metrics to this new Feature Set: \n - `sap.hana.db.sql.expensive_statements_exceeding_memory_limit.count`\n - `sap.hana.db.sql.expensive_statements_duration_limit.count`\n \n - Added new time stamp based metrics: \n - `sap.hana.db.sql.expensive_statements_exceeding_memory_limit`\n - `sap.hana.db.sql.expensive_statements_duration_limit`",
"created": "2024-07-24T08:58:37.739115Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@2.1.3",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "2.1.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_GvanLT2.zip",
"release_notes": "### v2.1.3 \n- DXS-679\n - Add UA Screens for Dynatrace Platform\n- DXS-821\n - Modify `license`query to correct `single-row query returns more than one row` exception\n- Change Queries used to ingest logs ( the `Out Of Memory Events`, `Trace File Information`, & `Expensive Statements` Feature Sets) from using CURRENT_UTCTIMESTAMP function to CURRENT_TIMESTAMP. ",
"created": "2024-03-12T21:42:34.194442Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@2.1.1",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "2.1.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_1KdnCLo.zip",
"release_notes": "- v2.1.1\n - Updated extension yaml to follow the v275 schema \n - Add configurable timeout to these metric queries : \n - `Backup Metrics` - specifically the `sap.hana.db.backup.size` metric\n - ` Host Temp Heap Usage` - specifically the `sap.hana.db.host.heap_temp_memory_usage` metric",
"created": "2023-12-12T15:51:58.432293Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@2.0.0",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "2.0.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_CRmMw7z.zip",
"release_notes": "## v2.0.0 - Requires Reconfiguration\nDXS-385 :\n- Added `sap.hana.db.service.volume.used`, `sap.hana.db.service.volume.total`, and `func:sap.hana.db.service.volume.usage` Volume Metrics\n- Added `sap.hana.db.service.table.locks`, `sap.hana.db.service.table.records`, and `sap.hana.db.service.table.size` Table Metrics\n - Added vars for `schema_name_filter` and `table_name_filter`, **this requires recreating the monitoring configurations hence the major version update.**\n\nDXS-494 :\n- Added `sap.hana.db.current_active_prepared_statements` and `sap.hana.db.current_sql_plan_cache_size` Metrics\n\nDXS-613 :\n- Added Feature Set : Host Infrastructure Network Rates for `sap.hana.db.host.network_interface.rate` Metric\n - Disable this Feature Set if `SYS.M_HOST_AGENT_METRICS` table does not exist\n- Split out Service CPU and Service Repsonse Time Metrics into separate Feature Sets\n - `sap.hana.db.service.cpu_usage` is kept as part of Default Feature Set\n - `sap.hana.db.service.response_time` is now a part of the new \"Service Response Time\" Feature Set\n - Disable this Feature Set if `RESPONSE_TIME`column does not exist in table`SYS.M_SERVICE_STATISTICS` \n- The `sap.hana.db.license.limit` now shows a -1 if there is no `PRODUCT_LIMIT` column in the `M_LICENSE` view\n\nAdditional New Metrics & Changes : \n- Changed Query for `sap.hana.db.host.open_connections` Metric\n - For old query see new metric key : `sap.hana.db.host.running_connections`\n- New Logs Ingested :\n - Out Of Memory Events\n - Trace File Information (Name, Size, Modification Time)\n- New Metrics :\n - `sap.hana.db.transactions`\n - `sap.hana.db.tracefiles`\n - `sap.hana.db.backups`\n - `sap.hana.db.backup.size`\n - `sap.hana.db.disk_size_usage`\n - `sap.hana.db.transaction_usage`\n - `sap.hana.db.connection_usage`\n - `sap.hana.db.schema.disk_used_size`\n - `sap.hana.db.schema.total_disk_size_percentage`\n - `sap.hana.db.limits` - Max Sessions & Transactions\n - `sap.hana.db.service.system_cpu_usage` - indexserver and nameserver only",
"created": "2023-09-01T21:12:00.750884Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@1.1.3",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "1.1.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_gIvw1Z0.zip",
"release_notes": "## v1.1.3\n- Fixes for validation errors when uploading/deploying.",
"created": "2023-08-23T21:32:17.695353Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@1.1.2",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "1.1.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_zZxlCGT.zip",
"release_notes": "Fix for EXT-5079: SAP Hana DB extension 2.0 restarts continuously due to missing data.",
"created": "2023-05-31T10:14:35.507978Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@1.1.1",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "1.1.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_qT3SMjh.zip",
"release_notes": "## v1.1.1\n- Minor update to fix UA Screen Actions and Descriptions",
"created": "2023-04-11T09:44:40.331029Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@1.1.0",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "1.1.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_77ewBOB.zip",
"release_notes": "## v1.1.0 \n- Added feature sets : `Current Alerts` & `Expensive Statements`\n - These use Log Ingest to gather query level information from `_SYS_STATISTICS.STATISTICS_CURRENT_ALERTS` and `SYS.M_EXPENSIVE_STATEMENTS` respectively. \n- Minor update to overview dashboard for backwards compatibility",
"created": "2023-04-04T16:21:44.267578Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@1.0.3",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "1.0.3",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_WQF9kMk.zip",
"release_notes": "## v1.0.3 \n- Updates to included Overview Dashboard for backwards compatibility",
"created": "2023-03-28T18:25:44.924887Z"
},
{
"name": "com.dynatrace.extension.sql-sap-hana@1.0.2",
"fqn": "com.dynatrace.extension.sql-sap-hana",
"version": "1.0.2",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.sql-sap-hana/com.dynatrace.extension.sql-sap-hana_M93wmym.zip",
"release_notes": "## 1.0.2 - Initial Release \n- Monitoring of metrics via Database Queries to M_ Monitoring Views\n- New SAP HANA Entities & Relationships\n - SAP HANA Database (`sql:hana_db_database`)\n - SAP HANA DB Service (`sql:hana_db_service`)\n - SAP HANA DB Host (`sql:hana_db_host`)\n- Included Dashboard - `SAP HANA DB Overview`",
"created": "2023-03-14T20:46:11.991093Z"
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"release_notes": "### v2.2.0 \n- DXS-791 - Customize Host Name\n - Added new per-endpoint variable for custom host naming\n - This adds the `custom_host` dimension to all metrics\n - **NOTE:** This will create **NEW** entities if you edit/add this to existing configurations",
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"link_to": "https://www.dynatrace.com/news/blog/three-smart-log-ingestion-strategies/",
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{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Seamlessly configure [Fluent Bit](https://fluentbit.io) to forward collected logs to Dynatrace for AI alerting, in-context analysis in the Dynatrace platform, and automation. While Fluent Bit has configurable HTTP output, Dynatrace can be configured as your data's target log management and analytics environment.\n\nFluent Bit is an open source, lightweight, and multi-platform log processor and forwarder that allows you to collect data/logs from different sources, unify and send them to multiple destinations, and is fully compatible with Docker and Kubernetes environments.\n\n### This is intended for users who want to:\nIntegrate logs collected via Fluent Bit running as a log collector or edge agent. This will enable App Owners, DevOps, and SRE teams to centrally analyze all log data in the context of infrastructure, traces, and applications, build automation, and complement ingested observability signals for AI alerting."
},
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{
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"title": "Use cases",
"source": "### Kubernetes troubleshooting\nIf you already have Fluent Bit in your tech stack and have made an effort to configure pipelines to contextualize and enrich your log data, but your legacy log tooling is not capable of bringing answers based on logs, Dynatrace Platform will provide automation and problem detection for you.\n\nLet’s take Kubernetes observability as an example.\n\nTo ensure Kubernetes platform and workload health with detailed cluster views that show all health-relevant signals of contained resources, including nodes, namespaces, and workloads Dynatrace comes with [Kuberentes monitoring & observability](https://www.dynatrace.com/hub/detail/kubernetes-1/?query=kubernetes&filter=all)\n\nIn order to complement observability signals like metrics and basic performance indicators, integrate Kubernetes logs with full Kubernetes context preservation by configuring [stream of Kubernetes logs with Fluent Bit](https://docs.dynatrace.com/docs/observe-and-explore/logs/lma-log-ingestion/lma-log-ingestion-via-api/lma-fluent-bit-logs-k8s)\n\nFor guided experience with minimal configuration navigate to Dynatrace Kubernetes Application and choose “+ Add cluster”. Refer to [Kubernetes app documentation](https://docs.dynatrace.com/docs/platform-modules/infrastructure-monitoring/container-platform-monitoring/kubernetes-app) for more details.\n\n\n### Platforms and technologies support\n\nFluent Bit can be deployed as an edge agent for localized telemetry data handling or utilized as a central aggregator/collector for managing telemetry data across multiple sources and environments. \n\nJust to name few:\n* [Kafka](https://docs.fluentbit.io/manual/pipeline/inputs/kafka)\n* [Systemd](https://docs.fluentbit.io/manual/pipeline/inputs/systemd) allows to collect log messages from the Journald deamon\n* [ElasticSearch](https://docs.fluentbit.io/manual/pipeline/inputs/elasticsearch)\n\nReview the full list of Fluent Bit inputs in [Fluent Bit Official Manual](https://docs.fluentbit.io/manual/pipeline/inputs) \n\n\n### Ingest AWS Fargate logs with Fluent Bit\n\nFluent Bit can be used as log collector for server-less cloud services to ship logs to external services. Please refer to [Ingest AWS Fargate logs with Fluent Bit](https://docs.dynatrace.com/docs/observe-and-explore/logs/lma-log-ingestion/lma-log-ingestion-via-api/lma-stream-logs-with-fluent-bit#ingest-aws-fargate-logs-with-fluent-bit), for detailed integration instructions."
},
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{
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"properties": {
"title": "Get started",
"source": "The Fluent Bit http output plugin allows to forward your logs into a Dynatrace Logs ingestion API endpoint.\n\n* Get a [Dynatrace API token](https://www.dynatrace.com/support/help/dynatrace-api/basics/dynatrace-api-authentication) with the Ingest Logs scope\n\nFluent Bit configuraitons\n\n* **For Kubernetes' logs integration**, please follow the instructions available in Dynatrace documentation, which also covers full Kubernetes context preservation: [Stream Kubernetes logs with Fluent Bit](https://docs.dynatrace.com/docs/observe-and-explore/logs/lma-log-ingestion/lma-log-ingestion-via-api/lma-fluent-bit-logs-k8s)\n\n* If you already manage Fluent Bit instance, configure [HTTP output plugin](https://docs.fluentbit.io/manual/pipeline/outputs/http) by appending the Output section with the configurations described in Dynatrace documentation: [Stream logs to Dynatrace with Fluent Bit](https://docs.dynatrace.com/docs/observe-and-explore/logs/lma-log-ingestion/lma-log-ingestion-via-api/lma-stream-logs-with-fluent-bit)\n\nNote: You can place your-API-token in the header or as GET variable in URI."
},
"sourceId": "get_started"
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{
"type": "markdown",
"properties": {
"title": "Compatibility information",
"source": "* A [Dynatrace API token](https://www.dynatrace.com/support/help/dynatrace-api/basics/dynatrace-api-authentication) with the **logs.ingest** (Ingest Logs) scope\n* For Dynatrace SaaS [Generic logs ingest](https://www.dynatrace.com/support/help/observe-and-explore/logs/log-monitoring/acquire-log-data/log-data-ingest) endpoint is available in you environement. For Dynatrace managed or if [Environment ActiveGate](https://www.dynatrace.com/support/help/setup-and-configuration/dynatrace-activegate#activegate-types-purposes-and-functional-modules) is your choice for an endpoint in local environment, install AG instance (From the main menu in the product go to **Manage > Deploy Dynatarce > Install ActiveGate**). Generic log ingest API v2 is automatically enabled on ActiveGate."
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"created": "2023-01-23T13:58:31.672354Z",
"seo_title": "Fluent Bit monitoring & observability",
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"company": {
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"source": "Vector databases, represented by Qdrant, play a pivotal role as semantic caches within modern Large Language Model (LLM) service frameworks. These semantic caches are essential for reducing latency in frequently accessed user prompts, optimizing overall costs associated with cloud-based pre-trained model services. Monitoring the efficiency and memory utilization of the cache is crucial for optimal resource allocation, while its adaptability to dynamic contexts serves as a measure of its ability to respond accurately to evolving conversation dynamics.\n\nAdditionally, considerations of cache warm-up times contribute to expediting the availability of cached information. In the domain of vector databases, the performance of queries and indexing speed becomes crucial, directly influencing the system's effectiveness in handling similarity searches. Factors like scalability, accuracy of vector representations, and storage efficiency play critical roles in managing expanding datasets proficiently.\n\nMoreover, performance metrics related to updates, deletions, and query throughput further impact the overall effectiveness of these systems in delivering real-time and accurate responses in natural language processing and similarity search applications. Achieving an optimal balance across these Key Performance Indicators (KPIs) ensures that both semantic LLM caches and vector databases, such as Qdrant, achieve peak performance across diverse use cases.\n\nIn summary, vector databases, exemplified by Qdrant, aim to address performance-related challenges, enhance operational efficiency, and contribute to a more seamless and responsive experience in various natural language processing applications."
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"source": "The most common Qdrant deployment is to run the vector database cache within a Kubernetes workload.\n\nDynatrace automatically collects Prometheus metrics from any pods that are annotated with a **metrics.dynatrace.com/scrape** property set to **true** in the pod definition.\n\nSee below a Qdrant Kubernetes deployment specification that automatically exposes Qdrant metrics to your Dynatrace environment:\n\n```yaml\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n name: qdrant\nspec:\n replicas: 1\n selector:\n matchLabels:\n app: qdrant\n template:\n metadata:\n labels:\n app: qdrant\n annotations:\n metrics.dynatrace.com/scrape: \"true\"\n metrics.dynatrace.com/port: \"6333\"\n metrics.dynatrace.com/path: \"/metrics\"\n spec:\n containers:\n - name: qdrant\n image: qdrant/qdrant:latest \n ports:\n - containerPort: 6333\n - containerPort: 6334\n resources:\n limits:\n memory: \"2Gi\"\n requests:\n memory: \"1Gi\"\n volumeMounts:\n - name: qdrant-data\n mountPath: /qdrant/storage:z\n volumes:\n - name: qdrant-data\n persistentVolumeClaim:\n claimName: qdrant-pvc\n```\n\nThis functionality applies to all pods across your entire Kubernetes cluster, regardless of whether the pod is running in a namespace that matches the Dynakube's namespace selector."
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"source": "1. [Activate Application Security](https://docs.dynatrace.com/docs/platform-modules/application-security/getting-started/get-started-with-application-security#enable-appsec) \n2. [Assign permissions](https://docs.dynatrace.com/docs/secure/vulnerabilities/get-started#permissions) \n3. [Enable and configure Dynatrace Runtime Vulnerability Analytics](https://docs.dynatrace.com/docs/platform-modules/application-security/vulnerability-analytics/get-started-with-vulnerability-analytics)\n4. Ask your administrator to install **Vulnerabilities** from the Dynatrace Hub."
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"created": "2024-04-26T07:21:10.748330Z",
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"about": "**Vulnerabilities** is our [Dynatrace Runtime Vulnerability Analytics](https://docs.dynatrace.com/docs/shortlink/vulnerability-analytics-hub) platform experience for detecting, visualizing, analyzing, monitoring, and remediating vulnerabilities across your application stack. You can:\n-\tDetect code-level, third-party, and runtime vulnerabilities in your application code, displaying all issues in a combined, prioritized view\n-\tSearch and filter vulnerabilities based on specific parameters while exploring their potential impact\n-\tOptimize remediation to fix the vulnerabilities",
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"release_notes": "### 2.3.2\n\n#### Patch Changes\n\n- Unified minor UI inconsistencies.\n\n### 2.3.1\n\n#### Patch Changes\n\n- Internal technical improvements\n\n### 2.3.0\n\n#### Minor Changes\n\n- Updated help menu and added settings menu.\n- Added Davis Security Advisor recommendations to the prioritization page.\n- Introduced the \"What's new\" section.\n\n#### Patch Changes\n\n- Restricted Edit Application Protection settings button visibility based on permissions.\n- Prevented line breaks in filter field values.\n- Improved accessibility\n- Improved prioritization table behavior and performance.",
"created": "2025-03-05T12:05:39.163030Z"
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"release_notes": "### 2.2.0\n\n#### Minor Changes\n\n- Improved missing permission error messages.\n- Added download functionality to the affected entities table.\n- Added support for supplying a timeframe via intents.\n\n#### Patch Changes\n\n- Changed \"last detected on\" to \"open since\" in subline of Code-level vulnerability details header.\n- Fixed the tooltip of the status bar in the Exploit and Threats card.\n- Fixed incorrect styling of affected entities header.\n- Made Vulnerabilities table display an empty table in case there are no results.\n- Small wording changed in the entry points card highlight hint.\n- Fixed \"open with\" intent button opening the exploits data with the wrong visualization type.\n- Fixed affected entity dropdown last update section to be always set to \"Process group unmuted\" by default (no event).",
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"release_notes": "### 2.1.0\n\n#### Minor Changes\n\n- The app now remembers last set filter segments.\n\n#### Patch Changes\n\n- Improved the error description for missing permissions.",
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"release_notes": "### 1.3.1\n\n#### Patch Changes\n\n- The year is now included in timestamps.\n- Fixed inconsistent vulnerable function states on the risk assessment card of code-level vulnerabilities.\n\n### 1.3.0\n\n#### Minor Changes\n\n- You can navigate to the Davis Security Score card of a third-party vulnerability from the Prioritization page (expand a row, then select Davis Security Score).\n\n#### Patch Changes\n\n- Prioritization table sorting has been disabled for more than 500 vulnerabilities.\n- Related entities in the vulnerability details now include mobile, custom, and Data Center RUM applications.",
"created": "2024-09-16T07:07:46.468012Z"
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"artifact": null,
"release_notes": "### 1.3.0\n\n#### Minor Changes\n\n- You can navigate to the Davis Security Score card of a third-party vulnerability from the Prioritization page (expand a row, then select Davis Security Score).\n\n#### Patch Changes\n\n- Prioritization table sorting has been disabled for more than 500 vulnerabilities.\n- Related entities in the vulnerability details now include mobile, custom, and Data Center RUM applications.",
"created": "2024-08-28T10:48:19.372709Z"
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"fqn": "dynatrace.security.vulnerabilities",
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"release_notes": "### 1.2.0\n\n#### Minor Changes\n\n- Removed last updated timestamp.\n- Made the vulnerabilities table scrollable.\n\n#### Patch Changes\n\n- Fixed a bug where the page index was not being reset on the remediation tracking table after changing page size.\n- Adjusted the sort order for the 'Status' column of the vulnerabilities table.\n- Renamed the 'Last detected' column header of the vulnerabilities table to 'Open since'.\n- Additional minor improvements.",
"created": "2024-07-16T12:49:08.011827Z"
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"fqn": "dynatrace.security.vulnerabilities",
"version": "1.1.0",
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"release_notes": "### 1.1.0\n\n#### Minor Changes\n\n- Added the \"Fix recommendations\" card to the details page of a TPV.\n- Added links to the process group and Kubernetes node overview cards.\n\n#### Patch Changes\n\n- Improved the vulnerabilities table performance.\n- Fixed the vulnerabilities table not being sortable by ID, status, and attacks.\n- Fixed intent handling for vulnerability ID.\n- Fixed the details card layout overflowing when the description contains a code block.\n- Fixed the vulnerabilities table expandable disappearing when all columns are hidden.\n- Fixed the CLV entry-point payloads not being separated by line breaks.",
"created": "2024-05-29T06:29:18.583096Z"
},
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"name": "com.dynatrace.extension.ibm-i",
"author": {
"name": "Dynatrace"
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"version": "2.3.4",
"fileHash": "f872bcc78fa237cae1fca5533e6113bb8dfe2ff7623756459a3631bf997b1fdf",
"variables": [],
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"dataSources": [
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"featureSets": [
"Auxiliary Storage Pools",
"Output queues - Size",
"Network interfaces",
"Disk info",
"History log",
"Output queues",
"Job queues",
"default",
"Active jobs",
"Network status",
"System status",
"System activity",
"Subsystems",
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"Message queues",
"Spooling size by users",
"Active Memory pools"
],
"extensionName": "com.dynatrace.extension.ibm-i",
"minEECVersion": "1.273.0",
"featureSetsDetails": {
"default": {
"metrics": [
{
"key": "ibm_i.system.availability",
"metadata": {
"unit": "Percent",
"description": "Percentage of time this host was available or reachable from this extension",
"displayName": "Availability"
}
}
]
},
"Disk info": {
"metrics": [
{
"key": "ibm_i.disk.unit_storage_capacity",
"metadata": {
"unit": "Byte",
"description": "Storage capacity for configured units.",
"displayName": "Unit capacity"
}
},
{
"key": "ibm_i.disk.unit_space_available",
"metadata": {
"unit": "Byte",
"description": "Space available on the unit for use.",
"displayName": "Unit space available"
}
},
{
"key": "ibm_i.disk.percent_used",
"metadata": {
"unit": "Percent",
"description": "The percentage that the disk unit has been consumed.",
"displayName": "Unit percent used"
}
},
{
"key": "ibm_i.disk.ssd_power_on_days",
"metadata": {
"unit": "Count",
"description": "The number of days that the SSD device has been active in a system. Contains the null value if this disk is not SSD or if the information is not available.",
"displayName": "SSD power-on days"
}
},
{
"key": "ibm_i.disk.ssd_life_remaining",
"metadata": {
"unit": "Percent",
"description": "The percentage of the lifetime remaining for the SSD device. This estimates the percentage of usable function remaining for the drive before it should be replaced. Calculations for this percentage include more than just the number of bytes written and supported. Contains the null value if this disk is not SSD or if the information is not available.",
"displayName": "SSD life remaining"
}
},
{
"key": "ibm_i.disk.io_requests",
"metadata": {
"unit": "PerSecond",
"description": "The average number of I/O requests for read and write operations that occurred per second during the elapsed time.",
"displayName": "I/O requests"
}
},
{
"key": "ibm_i.disk.request_size",
"metadata": {
"unit": "KiloByte",
"description": "The average size of an I/O request in KB during the elapsed time.",
"displayName": "Avg I/O request size"
}
},
{
"key": "ibm_i.disk.read_requests",
"metadata": {
"unit": "PerSecond",
"description": "The average number of requests per second to transfer data from the disk unit during the elapsed time.",
"displayName": "Avg read requests"
}
},
{
"key": "ibm_i.disk.write_requests",
"metadata": {
"unit": "PerSecond",
"description": "The average number of requests per second to transfer data to the disk unit during the elapsed time.",
"displayName": "Avg write requests"
}
},
{
"key": "ibm_i.disk.data_read",
"metadata": {
"unit": "KiloByte",
"description": "The average amount of data, in KB, transferred from the disk unit, per request, during the elapsed time.",
"displayName": "Avg data read"
}
},
{
"key": "ibm_i.disk.data_written",
"metadata": {
"unit": "KiloByte",
"description": "The average amount of data, in KB, transferred to the disk unit, per request, during the elapsed time.",
"displayName": "Avg data written"
}
},
{
"key": "ibm_i.disk.percent_busy",
"metadata": {
"unit": "Percent",
"description": "The estimated percentage of time the disk unit is being used during the elapsed time.",
"displayName": "Percent busy"
}
}
]
},
"Job queues": {
"metrics": [
{
"key": "ibm_i.job_queue.number_of_jobs",
"metadata": {
"unit": "Count",
"description": "The number of jobs in the queue.",
"displayName": "Number of jobs"
}
},
{
"key": "ibm_i.job_queue.active_jobs",
"metadata": {
"unit": "Count",
"description": "The current number of jobs that are active that came through this job queue entry. Contains the null value if this job queue is not associated with an active subsystem",
"displayName": "Active jobs"
}
},
{
"key": "ibm_i.job_queue.held_jobs",
"metadata": {
"unit": "Count",
"description": "The current number of jobs that are in *HELD status.",
"displayName": "Held jobs"
}
},
{
"key": "ibm_i.job_queue.released_jobs",
"metadata": {
"unit": "Count",
"description": "The current number of jobs that are in *RELEASED status.",
"displayName": "Released jobs"
}
},
{
"key": "ibm_i.job_queue.scheduled_jobs",
"metadata": {
"unit": "Count",
"description": "The current number of jobs that are in *SCHEDULED status.",
"displayName": "Scheduled jobs"
}
}
]
},
"Subsystems": {
"metrics": [
{
"key": "ibm_i.subsystem.current_active_jobs",
"metadata": {
"unit": "Count",
"description": "The number of jobs currently active in the subsystem. This number includes held jobs but excludes jobs that are disconnected or suspended because of a transfer secondary job or a transfer group job. If STATUS is INACTIVE, returns 0.",
"displayName": "Active jobs"
}
}
]
},
"Active jobs": {
"metrics": [
{
"key": "ibm_i.job.threads_cnt",
"metadata": {
"unit": "Count",
"description": "The number of active threads in the job.",
"displayName": "Threads"
}
},
{
"key": "ibm_i.job.temporary_storage_used",
"metadata": {
"unit": "MegaByte",
"description": "The amount of temporary storage, in megabytes, that is currently allocated to this job.",
"displayName": "Temporary storage"
}
},
{
"key": "ibm_i.job.disk_io",
"metadata": {
"unit": "Count",
"description": "The number of disk I/O operations performed by the job during the measurement time interval. This is the sum of the asynchronous and synchronous disk I/O.",
"displayName": "Total disk I/O"
}
},
{
"key": "ibm_i.job.cpu_percentage",
"metadata": {
"unit": "Percent",
"description": "The percent of processing unit time attributed to this job during the measurement time interval.",
"displayName": "CPU percentage"
}
},
{
"key": "ibm_i.job.response_time",
"metadata": {
"unit": "Second",
"description": "The total response time over the measurement time interval, in seconds. ONLY available to interactive jobs.",
"displayName": "Response time"
}
},
{
"key": "ibm_i.job.instances",
"metadata": {
"unit": "Count",
"description": "Number of job instances (or job numbers) running under a user and job name. This number can indicate if too few instances or too many instances are running for a specific process.",
"displayName": "Instances"
}
},
{
"key": "ibm_i.job.status_cnt",
"metadata": {
"unit": "Count",
"description": "A count of job status for each job. This will visualize how many job instances are in different status. If an event for status was configured to trigger during endpoint configuration, event will contain the specific job number.",
"displayName": "Status count"
}
}
]
},
"History log": {
"metrics": [
{
"key": "ibm_i.history_log.matched_messages",
"metadata": {
"unit": "Count",
"description": "Number of messages in History log that matched severity, message IDs and message types (if configured).",
"displayName": "Matched messages"
}
}
]
},
"Output queues": {
"metrics": [
{
"key": "ibm_i.output_queue.number_of_files",
"metadata": {
"unit": "Count",
"description": "The total number of spooled or printer files currently on this output queue.",
"displayName": "Number of files"
}
},
{
"key": "ibm_i.output_queue.number_of_writers",
"metadata": {
"unit": "Count",
"description": "The number of printer writers that have been started to this output queue.",
"displayName": "Number of writers"
}
},
{
"key": "ibm_i.output_queue.total_size",
"metadata": {
"unit": "KiloByte",
"description": "The total size of spooled files in this output queue.",
"displayName": "Total size"
}
}
]
},
"System status": {
"metrics": [
{
"key": "ibm_i.system.total_jobs",
"metadata": {
"unit": "Count",
"description": "The total number of user and system jobs that are currently in the system.",
"displayName": "Total jobs"
}
},
{
"key": "ibm_i.system.active_jobs",
"metadata": {
"unit": "Count",
"description": "The number of jobs active in the system (jobs that have been started, but have not yet ended), including both user and system jobs.",
"displayName": "Active jobs"
}
},
{
"key": "ibm_i.system.percentage_total_jobs",
"metadata": {
"unit": "Percent",
"description": "The percentage of current total jobs over maximum jobs allowed.",
"displayName": "Percentage total jobs"
}
},
{
"key": "ibm_i.system.interactive_jobs",
"metadata": {
"unit": "Percent",
"description": "The percentage of interactive performance assigned to this logical partition. This value is a percentage of the total interactive performance available to the entire physical system.",
"displayName": "% Interactive performance"
}
},
{
"key": "ibm_i.system.system_asp_used",
"metadata": {
"unit": "Percent",
"description": "The percentage of the system storage pool (ASP number 1) currently in use.",
"displayName": "System ASP used"
}
},
{
"key": "ibm_i.system.maximum_temporary_storage_used",
"metadata": {
"unit": "MegaByte",
"description": "The largest amount of storage, in megabytes, used for temporary objects at any one time since the last IPL.",
"displayName": "Maximum temporary storage used"
}
},
{
"key": "ibm_i.system.current_temporary_storage",
"metadata": {
"unit": "MegaByte",
"description": "The current amount of storage, in megabytes, in use for temporary objects.",
"displayName": "Current temporary storage used"
}
},
{
"key": "ibm_i.system.active_threads",
"metadata": {
"unit": "Count",
"description": "The number of initial and secondary threads in the system (threads that have been started, but have not yet ended), including both user and system threads.",
"displayName": "Active threads"
}
}
]
},
"Message queues": {
"metrics": [
{
"key": "ibm_i.message_queue.matched_messages",
"metadata": {
"unit": "Count",
"description": "Number of messages that are in queue that match severity, message IDs and message types (if configured).",
"displayName": "Matched messages"
}
}
]
},
"Network status": {
"metrics": [
{
"key": "ibm_i.network.idle_time",
"metadata": {
"unit": "Second",
"description": "The length of time, in seconds, since the last activity on this connection.",
"displayName": "Idle time"
}
},
{
"key": "ibm_i.network.bytes_sent_count",
"metadata": {
"unit": "Byte",
"description": "The number of bytes sent to the remote host.",
"displayName": "Bytes sent"
}
},
{
"key": "ibm_i.network.bytes_received_count",
"metadata": {
"unit": "Byte",
"description": "The number of bytes received from the remote host.",
"displayName": "Bytes received"
}
},
{
"key": "ibm_i.network.round_trip_time",
"metadata": {
"unit": "MilliSecond",
"description": "The smoothed round-trip time interval in milliseconds. This is a measure of the time required for a segment on the connection to arrive at its destination, to be processed, and to return an acknowledgment to the client. Contains null if PROTOCOL is UDP.",
"displayName": "Round trip time"
}
},
{
"key": "ibm_i.network.round_trip_variance",
"metadata": {
"unit": "MilliSecond",
"description": "The variance in milliseconds from the previous round-trip time. Contains null if PROTOCOL is UDP",
"displayName": "Round trip variance"
}
},
{
"key": "ibm_i.network.retransmissions_count",
"metadata": {
"unit": "Count",
"description": "The number of times the local system retransmitted a segment because an acknowledgement was not received. This is a count of all segments resent during the entire time the connection has been active. Contains null if PROTOCOL is UDP.",
"displayName": "Retransmissions"
}
},
{
"key": "ibm_i.network.tcp_connections_currently_established",
"metadata": {
"unit": "Count",
"description": "The number of TCP connections for which the current state is either ESTABLISHED or CLOSE-WAIT. Contains null if PROTOCOL is UDP.",
"displayName": "TCP connections established"
}
}
]
},
"System activity": {
"metrics": [
{
"key": "ibm_i.system.cpu_rate",
"metadata": {
"unit": "Percent",
"description": "The average CPU rate expressed as a percentage where 100% indicates the processor is running at its nominal frequency. A value above or below 100% indicates how much the processor has been slowed down (throttled) or speeded up (turbo) relative to the nominal frequency for the processor model.",
"displayName": "CPU rate"
}
},
{
"key": "ibm_i.system.avg_cpu_utilization",
"metadata": {
"unit": "Percent",
"description": "The average CPU utilization for all the active processors in 15 seconds elapsed time.",
"displayName": "Avg. CPU utilization"
}
},
{
"key": "ibm_i.system.min_cpu_utilization",
"metadata": {
"unit": "Percent",
"description": "The CPU utilization of the processor that reported the minimum amount of CPU utilization in 15 seconds elapsed time.",
"displayName": "Min. CPU utilization"
}
},
{
"key": "ibm_i.system.max_cpu_utilization",
"metadata": {
"unit": "Percent",
"description": "The CPU utilization of the processor that reported the maximum amount of CPU utilization in 15 seconds elapsed time.",
"displayName": "Max. CPU utilization"
}
}
]
},
"Network interfaces": {
"metrics": [
{
"key": "ibm_i.interface.status",
"metadata": {
"unit": "Unspecified",
"description": "A counter of 1 for every network interface that is on host. Used for returning all metadata about an interface.",
"displayName": "Interface status"
}
}
]
},
"Active Memory pools": {
"metrics": [
{
"key": "ibm_i.memory_pool.current_size",
"metadata": {
"unit": "MegaByte",
"description": "The amount of main storage, in megabytes, in the pool.",
"displayName": "Current size"
}
},
{
"key": "ibm_i.memory_pool.reserved_size",
"metadata": {
"unit": "MegaByte",
"description": "The amount of storage, in megabytes, in the pool reserved for system use (for example, for save/restore operations).",
"displayName": "Reserved size"
}
},
{
"key": "ibm_i.memory_pool.defined_size",
"metadata": {
"unit": "MegaByte",
"description": "The size of the pool, in megabytes, as defined in the shared pool, subsystem description, or system value QMCHPOOL. Contains the null value for a pool without a defined size.",
"displayName": "Defined size"
}
},
{
"key": "ibm_i.memory_pool.maximum_active_threads",
"metadata": {
"unit": "Count",
"description": "The maximum number of threads that can be active in the pool at any one time.",
"displayName": "Max active threads"
}
},
{
"key": "ibm_i.memory_pool.current_threads",
"metadata": {
"unit": "Count",
"description": "The number of threads currently using the pool.",
"displayName": "Current threads"
}
},
{
"key": "ibm_i.memory_pool.current_ineligible_threads",
"metadata": {
"unit": "Count",
"description": "The number of ineligible threads in the pool. Ineligible threads are threads that are ready to run but the memory pool activity level is at its maximum.",
"displayName": "Ineligible threads"
}
},
{
"key": "ibm_i.memory_pool.database_faults",
"metadata": {
"unit": "PerSecond",
"description": "The rate, in page faults per second, of database page faults against pages containing either database access paths or data.",
"displayName": "Database faults"
}
},
{
"key": "ibm_i.memory_pool.non_database_faults",
"metadata": {
"unit": "PerSecond",
"description": "The rate, in page faults per second, of nondatabase page faults against pages other than those designated as database pages.",
"displayName": "Non-database faults"
}
},
{
"key": "ibm_i.memory_pool.total_faults",
"metadata": {
"unit": "PerSecond",
"description": "The rate, in page faults per second, of database faults and non-database faults.",
"displayName": "Total faults"
}
},
{
"key": "ibm_i.memory_pool.database_pages",
"metadata": {
"unit": "PerSecond",
"description": "The rate, in pages per second, at which database pages are brought into the storage pool.",
"displayName": "Database pages"
}
},
{
"key": "ibm_i.memory_pool.non_database_pages",
"metadata": {
"unit": "PerSecond",
"description": "The rate in pages per second at which nondatabase pages are brought into the storage pool.",
"displayName": "Non-database pages"
}
}
]
},
"Output queues - Size": {
"metrics": [
{
"key": "ibm_i.output_queue.total_size",
"metadata": {
"unit": "KiloByte",
"description": "The total size of spooled files in this output queue.",
"displayName": "Total size"
}
}
]
},
"Spooling size by users": {
"metrics": [
{
"key": "ibm_i.spooling.total_size",
"metadata": {
"unit": "KiloByte",
"description": "Sum size of all spooled files by user.",
"displayName": "Total size"
}
}
]
},
"Auxiliary Storage Pools": {
"metrics": [
{
"key": "ibm_i.asp.total_capacity",
"metadata": {
"unit": "MegaByte",
"description": "The total number of used and unused megabytes in the ASP. A special value of -2 is returned if the size of this field is exceeded. Contains the null value if the capacity cannot be determined.",
"displayName": "Total capacity"
}
},
{
"key": "ibm_i.asp.total_capacity_available",
"metadata": {
"unit": "MegaByte",
"description": "The total number of unused megabytes in the ASP. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.",
"displayName": "Capacity available"
}
},
{
"key": "ibm_i.asp.percentage_asp_used",
"metadata": {
"unit": "Percent",
"description": "Percentage of ASP space used against total capacity.",
"displayName": "Percent ASP used"
}
},
{
"key": "ibm_i.asp.protected_capacity",
"metadata": {
"unit": "MegaByte",
"description": "The total number of used and unused megabytes in the ASP that are protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.",
"displayName": "Protected capacity"
}
},
{
"key": "ibm_i.asp.protected_capacity_available",
"metadata": {
"unit": "MegaByte",
"description": "The number of unused megabytes in the ASP that are protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.",
"displayName": "Protected capacity available"
}
},
{
"key": "ibm_i.asp.percentage_protected_asp_used",
"metadata": {
"unit": "Percent",
"description": "Percentage of protected ASP space used against protected total capacity.",
"displayName": "Percent protected ASP used"
}
},
{
"key": "ibm_i.asp.unprotected_capacity",
"metadata": {
"unit": "MegaByte",
"description": "The total number of used and unused megabytes in the ASP that are not protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.",
"displayName": "Unprotected capacity"
}
},
{
"key": "ibm_i.asp.unprotected_capacity_available",
"metadata": {
"unit": "MegaByte",
"description": "The number of unused megabytes in the ASP that are not protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.",
"displayName": "Unprotected capacity available"
}
},
{
"key": "ibm_i.asp.percentage_unprotected_asp_used",
"metadata": {
"unit": "Percent",
"description": "Percentage of unprotected ASP space used against unprotected total capacity.",
"displayName": "Unprotected ASP used"
}
}
]
},
"Spooled files in output queues": {
"metrics": [
{
"key": "ibm_i.output_queue.spooled_file.total_size",
"metadata": {
"unit": "Byte",
"description": "The size of the spooled file.",
"displayName": "Total size"
}
},
{
"key": "ibm_i.output_queue.spooled_file.total_pages",
"metadata": {
"unit": "Count",
"description": "The total number of pages in the file.",
"displayName": "Total pages"
}
},
{
"key": "ibm_i.output_queue.spooled_file.total_remaining_copies",
"metadata": {
"unit": "Count",
"description": "The number of copies remaining to print.",
"displayName": "Remaining copies"
}
}
]
}
},
"minDynatraceVersion": "1.273.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Dynatrace offers remote monitoring of IBM i hosts via this ActiveGate extension.\n\nThe ingested data provides Dynatrace with real-time visibility into host performance through interactive visualization tools, dashboards, unified analysis and events. When combined with OneAgent monitoring, you gain the ability to understand how IBM i interacts with the other components in your stack."
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "### Requirements\n\n**Note: For best performance and data collection, these requirements are strict. Always keep your system up to date.**\n\n* ActiveGate must be 1.273+\n* Dynatrace version 1.273+\n* IBM has made significant performance improvements and introduced more accurate metrics in their latest Technology Refresh levels. For this reason, only the following IBM i Releases are supported:\n * IBM i 7.3 Technology Refresh 12+ (must have PTF Group SF99703 Level 28+)\n * IBM i 7.4 Technology Refresh 6+ (must have PTF Group SF99704 Level 20+)\n * IBM i 7.5\n* Communication ports between ActiveGate and IBM i Hosts must be open.\n\n* IBM i Access ODBC driver must be installed on ActiveGate. This is a specific driver provided by IBM for DB2 communication with IBM i hosts.\n* Connection pooling must be enabled on ODBC driver. On Windows, this is enabled by default.\n* Due to sensitive system data, IBM requires a user with **SECOFR** profile to access performance tables and all its functions. Failure to provide this access will cause issues with missing metrics, missing messages in queues, prohibited access to internal functions and calls made by IBM. You are free to configure other user classes with less privileges but it would not be supported.\n\n In addition, ensure that the user profile has *JOBCTL special authorization. It also needs *USE authority to the Work with PTF Groups (WRKPTFGRP) command.\n\n---\n### Windows ActiveGates (For Linux, continue below)\n\n### ODBC driver installation\n\nFollow these instructions if you are using ActiveGates running on Windows:\n\n* Head to [IBM's website](https://www.ibm.com/support/pages/ibm-i-access-client-solutions).\n* Click the **Downloads for IBM i Access Solutions** link.\n\n* Log in with your IBM account and accept the License terms.\n* The correct ODBC driver comes only in the **\"IBM i Access Client Solutions - Windows Application Package for Windows.\"**. Only this package contains the ODBC driver needed. Do not install the \"IBM i Access Client\". Make sure you download the Windows package.\n\n* Extract file zip archive and follow its instructions to install on the ActiveGate.\n* After installation, confirm the IBM i Access driver is installed and Connection Pooling is enabled by running native **ODBC Data Sources** Windows application. You may increase its timeout to a number no less than 60.\n\n---\n### Linux ActiveGates (Advanced setup)\n\nLinux distributions do not come with an ODBC driver manager and this is needed to connect to IBM i. [unixODBC](https://www.unixodbc.org/) is the most accepted, compatible driver manager for Linux and it is also approved by IBM.\n* ⚠️ Installation of [unixODBC](https://www.unixodbc.org/) requires advanced Linux knowledge.\n* 🛑 You must install **unixODBC 2.3.12 or higher**. Earlier versions are not supported due to necessary fixes only available on version 2.3.12 and newer. \n* Depending on your Linux distribution, this version might be available to your distribution (rpm, debian or others) or you may need to compile it from source code. **This is the part where you might need a Linux administrator to make this determination.**\n\nInstalling unixODBC, installs libraries and commands needed to connect to IBM i. Following this unixODBC, you must now install the IBM i Access ODBC Driver.\n\n### ODBC driver installation on Linux\n\n* Head to [IBM's website](https://www.ibm.com/support/pages/ibm-i-access-client-solutions).\n* Click the **Downloads for IBM i Access Solutions** link.\n\n* Log in with your IBM account and accept the License terms.\n* The correct ODBC driver comes only in the **\"IBM i Access Client Solutions -Linux Application Package for Linux.\"**. Only this package contains the ODBC driver needed. Do not install the \"IBM i Access Client\". Make sure you download the Linux package.\n\n* Extract file zip archive and follow its instructions to install on the ActiveGate.\n* After installation, you must now enable Connection Pooling in the IBM i Access ODBC Driver definition in the `odbcinst.ini` file.\n* Locate your odbcinst.ini file, by default it is in `/etc/odbcinst.ini` or `/etc/unixODBC/odbcinst.ini`, then add `CPTimeout=60` to each driver definition. This setting is needed for the extension to run and provide accurate measurements.\n\n* ⚠️Installing IBM i Access ODBC Driver may install older dependencies, including older versions of unixODBC. Verify that you are still running unixODBC 2.3.12+ afterwards.\n\n\n---\n### Extension configuration\n\n* Log into your Dynatrace console.\n* Under `Extensions` on the left menu, select `IBM i`.\n\n* Add a monitoring configuration.\nThis ActiveGate extension, also referred as \"Remote\", runs in ActiveGate groups.\n* Select which ActiveGate group will run this configuration. At least one ActiveGate must be in your group.\n\n * **Log level**: Enable DEBUG only when troubleshooting or support instructs you to do so.\n * **Task bucket size**: By default, all endpoints defined in a monitoring configuration create a task. Use this setting to create separate tasks for groups of endpoints defined in a monitoring configuration. This will allow you to optimize resource usage on your ActiveGate and potentially distribute execution across other ActiveGates in your group.\n * **Add an IBM i Host:** Click to configure each connection to individual hosts. All these connections will be run from this ActiveGate group.\n### Host\n * **Host or IP address:** Hostname or IP of the IBM i Host.\n * **Use Credential Vault:** Toggle this if you want to use a username/password already saved in your Credential Vault.\n * **User name:** Due to sensitive system data, table functions and internal stored procedures, a user with SECOFR access to the IBM i Host is required.\n * **Password:** Password to user above.\n * **Use SSL:** Toggle if connecting to host using SSL.\n\n\n### Jobs\n * **Get Top active jobs:** Toggle to collect Top N CPU consuming jobs. (Max 500). This requires the least amount of configuration as it automatically collects most taxing jobs by CPU. Disabling this toggle allows you to manually configure which jobs by certain filters.\n * **Send log event on status of all jobs:** Toggle this button to configure rules that will trigger a log event for any job on the system that matches a status. Resulting log event will include the job number as well.\n * **Add job filter:** If Top active jobs is disabled, you can manually configure rules that match certain jobs, by user and by subsystem too.\n * **Send log event on status of this job:** Toggle this button to configure rules that will trigger a log event if this job is in that status. Resulting log event will include the job number as well.\n\n### Job queues\n * **Add job queue filter:** Configure a rule for job queues matching a name and/or library they are in.\n### Subsystems\n * **Add subsystem filter:** Configure a rule for subsystems matching a name and/or library they are in.\n\n### Message queues to monitor\n * **Add Message Queue filter:** A default message queue is configured, QSYSOPR. Most system messages are in this queue. However, you may add more rules for other message queues. Only messages in these queues that have a minimum severity will be counted. Optionally you may see individual messages by triggering log events for those messages that match a criteria.\n * **Minimum severity:** Messages have a severity level from 0 to 99. Using this filter will eliminate noise and messages that are not critical.\n * **Send log events on message:** Toggle this button to trigger log events on messages that match severity and Message IDs and/or Message types.\n * **Message IDs:** Enter a comma-separated list of important Message IDs. You may leave this blank to match any message ID.\n * **Filter on message types:** Toggle which Message types to filter on. Leave this blank to filter on any of them.\n\n### History log messages to collect\n * **Define rule:** Most messages, even the ones from message queues, go into the History Log. You may filter what messages you are interested in. Multiple rules will collect different type of messages. Only messages that have a minimum severity and matching criteria will be counted. All messages found will be automatically sent as Dynatrace log events.\n * **Minimum severity:** Messages have a severity level from 0 to 99. Using this filter will eliminate noise and messages that are not critical.\n * **Message IDs:** Enter a comma-separated list of important Message IDs. You may leave this blank to match any message ID.\n * **Filter on message types:** Toggle which Message types to filter on. Leave this blank to filter on any of them.\n### Output queues \n * **Add Output queue filter:** Configure rules to collect output queues and information about their spooled files.\n### Network monitoring\n * **Local addresses:** Enter a comma-separated list of IP addresses or CIDR addresses and their port numbers. This is useful to see traffic incoming traffic statistics to certain ports.\n * **Remote addresses:** Enter a comma-separated list of IP addresses or CIDR addresses and their port numbers. This is useful to see traffic outgoing traffic statistics to certain ports.\n### User status monitoring\nDefine whether to send log events if certain users are disabled. Users must be defined in a comma-separated list.\n### Advanced parameters\n * **Polling frequency:** By default, data is collected every 1 minute but you may configure frequency here. 1 minute data provides most accurate data.\n * **Connection timeout:** Time in seconds before it gives up trying to connect to IBM i Host. This should be fairly quick and should not be beyond 30 seconds.\n * **Query timeout:** Time in seconds before running a query timesout. \n * **Important job statuses:** A list of common job statuses. This list will keep the possible combination of job statuses to a minimum to avoid consuming too many DDUs. Any status not in this list will be placed in an \"Other\" status bucket. Log events triggered from job statuses will not be impacted by this list and will always match its true status.\n\n\n* Lastly, select which **feature sets** (metric groups) you would like this configuration to collect. Selecting too few will not give you the proper visibility and you may miss out on important performance data causing gaps or empty screens."
},
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"properties": {
"title": "Compatibility information",
"source": "* Windows and Linux ActiveGates\n* Supported releases:\n * IBM i 7.3 Technology Refresh 12+ (must have PTF Group SF99703 Level 28+)\n * IBM i 7.4 Technology Refresh 6+ (must have PTF Group SF99704 Level 20+)\n * IBM i 7.5\n\nFor Linux ActiveGates:\n* unixODBC 2.3.12 and higher"
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"properties": {
"title": "FAQ",
"source": "### Q: What is the DDU Consumption of this extension?\n\nA: The formula for DDU consumption of the extension is:\n\n```\n (15 + (11 * Memory pools) + (7 * Jobs) +\n (9 * ASPs) + (12 * Disk unit) + (5 * Job queues) + \n ((3 * Output queues) * (3 * Spooled files)) + \n (1 * Subsystems) + (1 * Network interfaces) + \n (7 * Network connections) + (1 * Message queues) + 1 History Log ) * 525.6 DDUs/year, per Host\n```\n\n_**The following example assumes you collect all feature sets (metric groups) every minute.**_\n\nExample, monitoring 1 Host with 4 Memory pools, 5 Subsystems, 1 ASP with 20 Disk units, 10 Job queues, 200 Jobs, 1 Message queue, 3 Interfaces, 5 Network connections, 3 Output queues and each one with 5 spooled files produces the following:\n\n`(15 + (11 * 4) + (7 * 200) + (9 * 10) + (12 * 20) + (10 * 5) + ((3 * 3) * (3 * 5)) + (1 *5) + (1 * 3) + (7 * 5) * (1 *1) +1) * 525.6 DDUs/year` = **1,061,185** (1M) DDUs/year\n\nDDU cost above does not include any possible Log events or Custom events triggered by the extension. For more information on this, please visit the [DDU log event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/log-monitoring-consumption) and [DDU custom event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/ddu-events) pages."
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"properties": {
"title": "Screenshots",
"source": "### Included dashboards:\n\n\n\n### System view\n\n\n\n\n\n\n### Memory pool\n\n\n### Job view\n\n\n### ASP and Disks\n\n\n### Job queue properties\n\n\n### Message queue\n\n\n### Output queue and spooled files\n\n\n### Network\n\n"
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"modified": "2025-02-03T21:14:56.732113Z",
"created": "2023-07-14T12:59:30.347895Z",
"seo_title": "IBM i monitoring & observability",
"seo_description": "Collect performance data from your IBM i Hosts via this Remote extension. Start your free trial today!",
"customer_story": null,
"marketing_related_content": [],
"screenshots": [
"https://dt-cdn.net/hub/ibm_i_dashboard1.png",
"https://dt-cdn.net/hub/ibm_i_host_view1.png",
"https://dt-cdn.net/hub/ibm_i_host_view2.png",
"https://dt-cdn.net/hub/ibm_i_host_view3.png",
"https://dt-cdn.net/hub/ibm_i_job_view1.png",
"https://dt-cdn.net/hub/ibm_i_asp_disk_view1.png",
"https://dt-cdn.net/hub/ibm_i_memory_pool_view1.png",
"https://dt-cdn.net/hub/ibm_i_message_queue1.png"
],
"about": "Dynatrace offers remote monitoring of IBM i hosts via this ActiveGate extension.\n\nThe ingested data provides Dynatrace with real-time visibility into host performance through interactive visualization tools, dashboards, unified analysis and events. When combined with OneAgent monitoring, you gain the ability to understand how IBM i interacts with the other components in your stack.",
"use_cases": "",
"supported_distributions": "* Windows and Linux ActiveGates\n* Supported releases:\n * IBM i 7.3 Technology Refresh 12+ (must have PTF Group SF99703 Level 28+)\n * IBM i 7.4 Technology Refresh 6+ (must have PTF Group SF99704 Level 20+)\n * IBM i 7.5\n\nFor Linux ActiveGates:\n* unixODBC 2.3.12 and higher",
"get_started": "### Requirements\n\n**Note: For best performance and data collection, these requirements are strict. Always keep your system up to date.**\n\n* ActiveGate must be 1.273+\n* Dynatrace version 1.273+\n* IBM has made significant performance improvements and introduced more accurate metrics in their latest Technology Refresh levels. For this reason, only the following IBM i Releases are supported:\n * IBM i 7.3 Technology Refresh 12+ (must have PTF Group SF99703 Level 28+)\n * IBM i 7.4 Technology Refresh 6+ (must have PTF Group SF99704 Level 20+)\n * IBM i 7.5\n* Communication ports between ActiveGate and IBM i Hosts must be open.\n\n* IBM i Access ODBC driver must be installed on ActiveGate. This is a specific driver provided by IBM for DB2 communication with IBM i hosts.\n* Connection pooling must be enabled on ODBC driver. On Windows, this is enabled by default.\n* Due to sensitive system data, IBM requires a user with **SECOFR** profile to access performance tables and all its functions. Failure to provide this access will cause issues with missing metrics, missing messages in queues, prohibited access to internal functions and calls made by IBM. You are free to configure other user classes with less privileges but it would not be supported.\n\n In addition, ensure that the user profile has *JOBCTL special authorization. It also needs *USE authority to the Work with PTF Groups (WRKPTFGRP) command.\n\n---\n### Windows ActiveGates (For Linux, continue below)\n\n### ODBC driver installation\n\nFollow these instructions if you are using ActiveGates running on Windows:\n\n* Head to [IBM's website](https://www.ibm.com/support/pages/ibm-i-access-client-solutions).\n* Click the **Downloads for IBM i Access Solutions** link.\n\n* Log in with your IBM account and accept the License terms.\n* The correct ODBC driver comes only in the **\"IBM i Access Client Solutions - Windows Application Package for Windows.\"**. Only this package contains the ODBC driver needed. Do not install the \"IBM i Access Client\". Make sure you download the Windows package.\n\n* Extract file zip archive and follow its instructions to install on the ActiveGate.\n* After installation, confirm the IBM i Access driver is installed and Connection Pooling is enabled by running native **ODBC Data Sources** Windows application. You may increase its timeout to a number no less than 60.\n\n---\n### Linux ActiveGates (Advanced setup)\n\nLinux distributions do not come with an ODBC driver manager and this is needed to connect to IBM i. [unixODBC](https://www.unixodbc.org/) is the most accepted, compatible driver manager for Linux and it is also approved by IBM.\n* ⚠️ Installation of [unixODBC](https://www.unixodbc.org/) requires advanced Linux knowledge.\n* 🛑 You must install **unixODBC 2.3.12 or higher**. Earlier versions are not supported due to necessary fixes only available on version 2.3.12 and newer. \n* Depending on your Linux distribution, this version might be available to your distribution (rpm, debian or others) or you may need to compile it from source code. **This is the part where you might need a Linux administrator to make this determination.**\n\nInstalling unixODBC, installs libraries and commands needed to connect to IBM i. Following this unixODBC, you must now install the IBM i Access ODBC Driver.\n\n### ODBC driver installation on Linux\n\n* Head to [IBM's website](https://www.ibm.com/support/pages/ibm-i-access-client-solutions).\n* Click the **Downloads for IBM i Access Solutions** link.\n\n* Log in with your IBM account and accept the License terms.\n* The correct ODBC driver comes only in the **\"IBM i Access Client Solutions -Linux Application Package for Linux.\"**. Only this package contains the ODBC driver needed. Do not install the \"IBM i Access Client\". Make sure you download the Linux package.\n\n* Extract file zip archive and follow its instructions to install on the ActiveGate.\n* After installation, you must now enable Connection Pooling in the IBM i Access ODBC Driver definition in the `odbcinst.ini` file.\n* Locate your odbcinst.ini file, by default it is in `/etc/odbcinst.ini` or `/etc/unixODBC/odbcinst.ini`, then add `CPTimeout=60` to each driver definition. This setting is needed for the extension to run and provide accurate measurements.\n\n* ⚠️Installing IBM i Access ODBC Driver may install older dependencies, including older versions of unixODBC. Verify that you are still running unixODBC 2.3.12+ afterwards.\n\n\n---\n### Extension configuration\n\n* Log into your Dynatrace console.\n* Under `Extensions` on the left menu, select `IBM i`.\n\n* Add a monitoring configuration.\nThis ActiveGate extension, also referred as \"Remote\", runs in ActiveGate groups.\n* Select which ActiveGate group will run this configuration. At least one ActiveGate must be in your group.\n\n * **Log level**: Enable DEBUG only when troubleshooting or support instructs you to do so.\n * **Task bucket size**: By default, all endpoints defined in a monitoring configuration create a task. Use this setting to create separate tasks for groups of endpoints defined in a monitoring configuration. This will allow you to optimize resource usage on your ActiveGate and potentially distribute execution across other ActiveGates in your group.\n * **Add an IBM i Host:** Click to configure each connection to individual hosts. All these connections will be run from this ActiveGate group.\n### Host\n * **Host or IP address:** Hostname or IP of the IBM i Host.\n * **Use Credential Vault:** Toggle this if you want to use a username/password already saved in your Credential Vault.\n * **User name:** Due to sensitive system data, table functions and internal stored procedures, a user with SECOFR access to the IBM i Host is required.\n * **Password:** Password to user above.\n * **Use SSL:** Toggle if connecting to host using SSL.\n\n\n### Jobs\n * **Get Top active jobs:** Toggle to collect Top N CPU consuming jobs. (Max 500). This requires the least amount of configuration as it automatically collects most taxing jobs by CPU. Disabling this toggle allows you to manually configure which jobs by certain filters.\n * **Send log event on status of all jobs:** Toggle this button to configure rules that will trigger a log event for any job on the system that matches a status. Resulting log event will include the job number as well.\n * **Add job filter:** If Top active jobs is disabled, you can manually configure rules that match certain jobs, by user and by subsystem too.\n * **Send log event on status of this job:** Toggle this button to configure rules that will trigger a log event if this job is in that status. Resulting log event will include the job number as well.\n\n### Job queues\n * **Add job queue filter:** Configure a rule for job queues matching a name and/or library they are in.\n### Subsystems\n * **Add subsystem filter:** Configure a rule for subsystems matching a name and/or library they are in.\n\n### Message queues to monitor\n * **Add Message Queue filter:** A default message queue is configured, QSYSOPR. Most system messages are in this queue. However, you may add more rules for other message queues. Only messages in these queues that have a minimum severity will be counted. Optionally you may see individual messages by triggering log events for those messages that match a criteria.\n * **Minimum severity:** Messages have a severity level from 0 to 99. Using this filter will eliminate noise and messages that are not critical.\n * **Send log events on message:** Toggle this button to trigger log events on messages that match severity and Message IDs and/or Message types.\n * **Message IDs:** Enter a comma-separated list of important Message IDs. You may leave this blank to match any message ID.\n * **Filter on message types:** Toggle which Message types to filter on. Leave this blank to filter on any of them.\n\n### History log messages to collect\n * **Define rule:** Most messages, even the ones from message queues, go into the History Log. You may filter what messages you are interested in. Multiple rules will collect different type of messages. Only messages that have a minimum severity and matching criteria will be counted. All messages found will be automatically sent as Dynatrace log events.\n * **Minimum severity:** Messages have a severity level from 0 to 99. Using this filter will eliminate noise and messages that are not critical.\n * **Message IDs:** Enter a comma-separated list of important Message IDs. You may leave this blank to match any message ID.\n * **Filter on message types:** Toggle which Message types to filter on. Leave this blank to filter on any of them.\n### Output queues \n * **Add Output queue filter:** Configure rules to collect output queues and information about their spooled files.\n### Network monitoring\n * **Local addresses:** Enter a comma-separated list of IP addresses or CIDR addresses and their port numbers. This is useful to see traffic incoming traffic statistics to certain ports.\n * **Remote addresses:** Enter a comma-separated list of IP addresses or CIDR addresses and their port numbers. This is useful to see traffic outgoing traffic statistics to certain ports.\n### User status monitoring\nDefine whether to send log events if certain users are disabled. Users must be defined in a comma-separated list.\n### Advanced parameters\n * **Polling frequency:** By default, data is collected every 1 minute but you may configure frequency here. 1 minute data provides most accurate data.\n * **Connection timeout:** Time in seconds before it gives up trying to connect to IBM i Host. This should be fairly quick and should not be beyond 30 seconds.\n * **Query timeout:** Time in seconds before running a query timesout. \n * **Important job statuses:** A list of common job statuses. This list will keep the possible combination of job statuses to a minimum to avoid consuming too many DDUs. Any status not in this list will be placed in an \"Other\" status bucket. Log events triggered from job statuses will not be impacted by this list and will always match its true status.\n\n\n* Lastly, select which **feature sets** (metric groups) you would like this configuration to collect. Selecting too few will not give you the proper visibility and you may miss out on important performance data causing gaps or empty screens."
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"search_boost": 0,
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{
"name": "com.dynatrace.extension.ibm-i@2.3.4",
"fqn": "com.dynatrace.extension.ibm-i",
"version": "2.3.4",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.3.4-f872bcc_KigpmAZ.zip",
"release_notes": "- Added Credential Vault support.\n- Added User status monitoring to send log events when certain users are disabled.\n- Modified parameters to connection string to support KeepAlive.\n- Fixed an issue with multi-threading.",
"created": "2025-02-03T21:16:12.006235Z"
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"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.2.11-a66061_k3BXox9.zip",
"release_notes": "- Added Task bucket size feature to allow ActiveGates to create multiple tasks per group of endpoints and potentially spread across multiple ActiveGates in a group.",
"created": "2024-10-10T07:16:23.696263Z"
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"name": "com.dynatrace.extension.ibm-i@2.2.9",
"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.2.9-52c99ed_6qCwdD0.zip",
"release_notes": "- Resolved issue where restarts were occurring due to No KeepAlive errors.",
"created": "2024-07-26T17:51:10.810616Z"
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"fqn": "com.dynatrace.extension.ibm-i",
"version": "2.2.5",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.2.5-8388e8f_tNkRDW7.zip",
"release_notes": "- Fixed issue with initial version check\n- Fixed issue with Message Queues not collecting data when not sending lot events",
"created": "2024-04-05T20:39:06.657732Z"
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{
"name": "com.dynatrace.extension.ibm-i@2.2.4",
"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.2.4-47a206f_LPNBenr.zip",
"release_notes": "⚠️New entities for Jobs will be created as internal IDs have changed. They will have the same name so any alerting rules you previously created will continue to work just fine. However, you may see duplicate job entities for a few hours. ⚠️\n- History Log has been added.\n- Output queue size metric has been moved to its own feature set. If you are interested in this metric, please be sure to select it in your feature sets.",
"created": "2024-03-29T14:14:52.146738Z"
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"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.1.7-e824da9_S1Ukl0Z.zip",
"release_notes": "- Adjusted Job metric aggregations.\n- Modified CPTimeout check parameter for Linux deployments.",
"created": "2024-01-26T09:28:35.625673Z"
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"name": "com.dynatrace.extension.ibm-i@2.1.4",
"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.1.4-0fd814d_MSrQFlq.zip",
"release_notes": "- Added extra fields to log events.\n- Adjusted disk metric aggregations",
"created": "2024-01-19T14:12:06.592210Z"
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{
"name": "com.dynatrace.extension.ibm-i@2.1.3",
"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.1.3-86b3b38_ogpdszS.zip",
"release_notes": "- Resolved issue with only one message queue reporting events.\n- Resolved issue with jobs failing to retrieve when a custom subsystem was entered.\n- Updated out-of-the-box dashboard to remove limit of Hosts listed.",
"created": "2023-11-28T20:06:03.638418Z"
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"name": "com.dynatrace.extension.ibm-i@2.1.1",
"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.1.1-a013dee_LDqUynE.zip",
"release_notes": "- Resolved issue with CPU metric not always reporting.",
"created": "2023-11-14T15:00:31.051101Z"
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"name": "com.dynatrace.extension.ibm-i@2.1.0",
"fqn": "com.dynatrace.extension.ibm-i",
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"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.ibm-i/com.dynatrace.extension.ibm-i-2.1.0-8361c7b_jUUsYTx.zip",
"release_notes": "- Added support for Linux ActiveGates\n- Added management zone support to metrics.\n- Various UI enhancements and metadata",
"created": "2023-11-09T08:33:03.199238Z"
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"fqn": "com.dynatrace.extension.ibm-i",
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"release_notes": "- Increased Message IDs field filter",
"created": "2023-08-31T20:56:01.624501Z"
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"displayName": "Swap used %"
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{
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"metadata": {
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"description": "Temperature (Celsius) of the server, provided by the BMC",
"displayName": "Temperature (Celsius) of the server"
}
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{
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"description": "Amount of virtual memory used by MS in MB",
"displayName": "Virtual memory used by MS"
}
}
]
},
"pmemcache": {
"metrics": [
{
"key": "oracle.exadata.DB_PC_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated in PMEM cache for this database",
"displayName": "PMEM DB cache MB allocated"
}
},
{
"key": "oracle.exadata.PC_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated in PMEM cache",
"displayName": "PMEM cache MB allocated total"
}
},
{
"key": "oracle.exadata.PDB_PC_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated in PMEM cache for this pluggable database",
"displayName": "PMEM PDB cache MB allocated"
}
}
]
},
"infiniband": {
"metrics": [
{
"key": "oracle.exadata.N_HCA_MB_RCV_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes received by InfiniBand interfaces per second",
"displayName": "RX MBps on InfiniBand interfaces"
}
},
{
"key": "oracle.exadata.N_HCA_MB_TRANS_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes transmitted by InfiniBand interfaces per second",
"displayName": "TX MBps on InfiniBand interfaces"
}
},
{
"key": "oracle.exadata.N_IB_MB_RCV_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes received by an InfiniBand port per second",
"displayName": "InfiniBand RX port MBps"
}
},
{
"key": "oracle.exadata.N_IB_MB_TRANS_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes transmitted by an InfiniBand port per second",
"displayName": "InfiniBand TX port MBps"
}
},
{
"key": "oracle.exadata.N_IB_UTIL_RCV",
"metadata": {
"unit": "Percent",
"description": "Percentage of an InfiniBand port capacity utilized for receiving data",
"displayName": "InfiniBand RX port utilization"
}
},
{
"key": "oracle.exadata.N_IB_UTIL_TRANS",
"metadata": {
"unit": "Percent",
"description": "Percentage of an InfiniBand port capacity utilized for transmitting data",
"displayName": "InfiniBand TX port utilization"
}
}
]
},
"cell-global": {
"metrics": [
{
"key": "oracle.exadata.CL_MEMUT_MS",
"metadata": {
"unit": "Percent",
"description": "Percentage of physical memory used by MS",
"displayName": "Physical memory utilization by MS"
}
},
{
"key": "oracle.exadata.CL_MEMUT_CS",
"metadata": {
"unit": "Percent",
"description": "Percentage of physical memory used by CELLSRV",
"displayName": "Physical memory utilization by CELLSRV"
}
},
{
"key": "oracle.exadata.CL_MEMUT",
"metadata": {
"unit": "Percent",
"description": "Percentage of total physical memory on this server that is currently used",
"displayName": "Physical memory utilization"
}
},
{
"key": "oracle.exadata.CL_BBU_TEMP",
"metadata": {
"unit": "Unspecified",
"description": "Disk Controller Battery Temperature",
"displayName": "Disk Controller Battery Temperature"
}
},
{
"key": "oracle.exadata.CL_BBU_CHARGE",
"metadata": {
"unit": "Percent",
"description": "Disk Controller Battery Charge",
"displayName": "Disk Controller Battery Charge"
}
},
{
"key": "oracle.exadata.CL_SWAP_USAGE",
"metadata": {
"unit": "Percent",
"description": "Percentage of swap used",
"displayName": "Swap used %"
}
},
{
"key": "oracle.exadata.CL_SWAP_IN_BY_SEC",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Amount of swap pages read in KB per second",
"displayName": "Swap read speed kBps"
}
},
{
"key": "oracle.exadata.CL_SWAP_OUT_BY_SEC",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Amount of swap pages written in KB per second",
"displayName": "Swap write speed kBps"
}
},
{
"key": "oracle.exadata.CL_CPUT",
"metadata": {
"unit": "Percent",
"description": "Percentage of time over the previous minute that the system CPUs were not idle.",
"displayName": "CPU not idle %"
}
},
{
"key": "oracle.exadata.CL_CPUT_CS",
"metadata": {
"unit": "Percent",
"description": "Percentage of CPU time used by CELLSRV",
"displayName": "CPU usage by CELLSRV %"
}
},
{
"key": "oracle.exadata.CL_CPUT_MS",
"metadata": {
"unit": "Percent",
"description": "Percentage of CPU time used by MS",
"displayName": "CPU usage by MS %"
}
},
{
"key": "oracle.exadata.CL_VIRTMEM_CS",
"metadata": {
"unit": "MegaByte",
"description": "Amount of virtual memory used by CELLSRV in MB",
"displayName": "Virtual memory used by CELLSRV"
}
},
{
"key": "oracle.exadata.CL_VIRTMEM_MS",
"metadata": {
"unit": "MegaByte",
"description": "Amount of virtual memory used by MS in MB",
"displayName": "Virtual memory used by MS"
}
},
{
"key": "oracle.exadata.CL_TEMP",
"metadata": {
"unit": "Unspecified",
"description": "Temperature (Celsius) of the server, provided by the BMC",
"displayName": "Temperature (Celsius) of the server"
}
},
{
"key": "oracle.exadata.CL_FANS",
"metadata": {
"unit": "Count",
"description": "Number of working fans on the cell",
"displayName": "Fans working on the cell"
}
},
{
"key": "oracle.exadata.IORM_MODE",
"metadata": {
"unit": "Count",
"description": "I/O Resource Manager objective for the cell",
"displayName": "IORM objective for the cell"
}
}
]
},
"netdev_roce": {
"metrics": [
{
"key": "oracle.exadata.EXW_ROCE_LOCAL_ACK_TIMEOUT_ERR",
"metadata": {
"unit": "Count",
"description": "Network interface sender-side ACK timer expiry count",
"displayName": "Sender-side ACK timer expiry count"
}
},
{
"key": "oracle.exadata.EXW_ROCE_PAUSE",
"metadata": {
"unit": "Count",
"description": "Number of pause frames on the RoCE lane",
"displayName": "Pause frames on the RoCE lane"
}
},
{
"key": "oracle.exadata.EXW_ROCE_RNR_NAK_RETRY_ERR",
"metadata": {
"unit": "Count",
"description": "Number of received RNR NAK packets",
"displayName": "Received RNR NAK packets"
}
},
{
"key": "oracle.exadata.EXW_ROCE_RX_BY",
"metadata": {
"unit": "MegaByte",
"description": "Number of bytes received by the RoCE lane",
"displayName": "RX MBytes by the RoCE lane"
}
},
{
"key": "oracle.exadata.EXW_ROCE_RX_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of bytes per second received by the RoCE lane",
"displayName": "RX MBps by the RoCE lane"
}
},
{
"key": "oracle.exadata.EXW_ROCE_TX_BY",
"metadata": {
"unit": "MegaByte",
"description": "Number of bytes transmitted by the RoCE lane",
"displayName": "TX MBytes by the RoCE lane"
}
},
{
"key": "oracle.exadata.EXW_ROCE_TX_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of bytes per second transmitted by the RoCE lane",
"displayName": "TX MBps by the RoCE lane"
}
}
]
},
"server-disk": {
"metrics": [
{
"key": "oracle.exadata.OS_IO_BY_R_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of bytes read per second from the device",
"displayName": "Device RX rate MBps"
}
},
{
"key": "oracle.exadata.OS_IO_BY_W_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of bytes written per second to the device",
"displayName": "Device TX rate MBps"
}
},
{
"key": "oracle.exadata.OS_IO_RQ_R_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of read requests completed per second for the device",
"displayName": "Device reads completed (req/s)"
}
},
{
"key": "oracle.exadata.OS_IO_RQ_SZ",
"metadata": {
"unit": "KiloByte",
"description": "Average size of IO requests issued to the device",
"displayName": "Device IO request size (avg)"
}
},
{
"key": "oracle.exadata.OS_IO_RQ_W_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of write requests completed per second for the device",
"displayName": "Device writes completed (req/s)"
}
},
{
"key": "oracle.exadata.OS_IO_TM_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average service time of the IO requests issued to the device",
"displayName": "Device IO request service time (avg)"
}
},
{
"key": "oracle.exadata.OS_IO_UTIL_PCT",
"metadata": {
"unit": "Percent",
"description": "Percentage of time during which I/O requests were issued to the device",
"displayName": "Device IO requests time percentage"
}
},
{
"key": "oracle.exadata.OS_IO_WT_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average latency of the IO requests issued to the device",
"displayName": "Device IO request latency (avg)"
}
},
{
"key": "oracle.exadata.OS_IO_WT_R_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average latency of read requests from the device",
"displayName": "Device read request latency (avg)"
}
},
{
"key": "oracle.exadata.OS_IO_WT_W_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average latency of write requests to the device",
"displayName": "Device write request latency (avg)"
}
}
]
},
"db-server-fs": {
"metrics": [
{
"key": "oracle.exadata.DS_FSUT",
"metadata": {
"unit": "Percent",
"description": "Percentage of total space on this file system that is currently used",
"displayName": "File system space utilization"
}
}
]
},
"iorm-cluster": {
"metrics": [
{
"key": "oracle.exadata.CLU_FC_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second to flash cache by this cluster",
"displayName": "FlashCache IO MBps"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second to flash disks by this cluster",
"displayName": "FlashDisks IO Mbps"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_UTIL",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by this cluster",
"displayName": "Flash utilization"
}
},
{
"key": "oracle.exadata.CLU_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second to hard disks by this cluster",
"displayName": "Hard disks IO MBps"
}
},
{
"key": "oracle.exadata.CLU_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by large requests from this cluster",
"displayName": "Disk utilization by large requests"
}
},
{
"key": "oracle.exadata.CLU_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by small requests from this cluster",
"displayName": "Disk utilization by small requests"
}
}
]
},
"iorm-category": {
"metrics": [
{
"key": "oracle.exadata.CT_FC_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this category to flash cache",
"displayName": "FlashCache IO MBps"
}
},
{
"key": "oracle.exadata.CT_FD_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this category to flash disks",
"displayName": "FlashDisks IO Mbps"
}
}
]
},
"server-global": {
"metrics": [
{
"key": "oracle.exadata.OS_CPU_LOAD1",
"metadata": {
"unit": "Count",
"description": "System load average over the last 1 minute",
"displayName": "System load 1m"
}
},
{
"key": "oracle.exadata.OS_CPU_LOAD5",
"metadata": {
"unit": "Count",
"description": "System load average over the last 5 minutes",
"displayName": "System load 5m"
}
},
{
"key": "oracle.exadata.OS_CPU_LOAD15",
"metadata": {
"unit": "Count",
"description": "System load average over the last 15 minutes",
"displayName": "System load 15m"
}
},
{
"key": "oracle.exadata.OS_CPU_PCT",
"metadata": {
"unit": "Percent",
"description": "Percentage of CPU utilization over the time interval",
"displayName": "CPU usage %"
}
},
{
"key": "oracle.exadata.OS_MEM_BY_AVAIL",
"metadata": {
"unit": "MegaByte",
"description": "Total available server memory",
"displayName": "Available memory"
}
},
{
"key": "oracle.exadata.OS_MEM_BY_FREE",
"metadata": {
"unit": "MegaByte",
"description": "Total free server memory",
"displayName": "Free memory"
}
},
{
"key": "oracle.exadata.OS_MEM_BY_USED",
"metadata": {
"unit": "MegaByte",
"description": "Total used server memory",
"displayName": "Used memory"
}
},
{
"key": "oracle.exadata.OS_MEM_BY_TOTAL",
"metadata": {
"unit": "MegaByte",
"description": "Total usable server memory",
"displayName": "Usable memory"
}
},
{
"key": "oracle.exadata.OS_SWAP_BY_FREE",
"metadata": {
"unit": "KiloByte",
"description": "Total amount of free swap space",
"displayName": "Swap kB available"
}
},
{
"key": "oracle.exadata.OS_SWAP_BY_USED",
"metadata": {
"unit": "KiloByte",
"description": "Total amount of used swap space",
"displayName": "Swap kB used"
}
},
{
"key": "oracle.exadata.OS_SWAP_BY_TOTAL",
"metadata": {
"unit": "KiloByte",
"description": "Total amount of swap space",
"displayName": "Swap kB total"
}
}
]
},
"cell-global-fs": {
"metrics": [
{
"key": "oracle.exadata.CL_FSUT",
"metadata": {
"unit": "Percent",
"description": "Percentage of total space on this file system that is currently used",
"displayName": "File system space utilization"
}
}
]
},
"ipaddress_queue": {
"metrics": [
{
"key": "oracle.exadata.EXW_RDS_PING",
"metadata": {
"unit": "MicroSecond",
"description": "Average rds-ping latency",
"displayName": "Average rds-ping latency"
}
},
{
"key": "oracle.exadata.EXW_RDS_PING_0",
"metadata": {
"unit": "MicroSecond",
"description": "Average rds-ping latency on lane 0",
"displayName": "Average rds-ping latency on lane 0"
}
}
]
},
"host-interconnect": {
"metrics": [
{
"key": "oracle.exadata.N_MB_RDMA_DROP_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes dropped during RDMA transmission per second to a particular host",
"displayName": "RDMA TX MBps dropped"
}
},
{
"key": "oracle.exadata.N_MB_RECEIVED_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second received from a particular host",
"displayName": "RX MBps from host"
}
},
{
"key": "oracle.exadata.N_MB_SENT_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes transmitted per second to a particular host",
"displayName": "TX MBps to host"
}
}
]
},
"ethernet_interface": {
"metrics": [
{
"key": "oracle.exadata.N_NIC_KB_RCV_SEC",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Number of kilobytes received by Ethernet interfaces per second",
"displayName": "Ethernet RX kBps"
}
},
{
"key": "oracle.exadata.N_NIC_KB_TRANS_SEC",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Number of kilobytes transmitted by Ethernet interfaces per second",
"displayName": "Ethernet TX kBps"
}
}
]
},
"iorm-db (optional)": {
"metrics": [
{
"key": "oracle.exadata.DB_FC_IO_RQ_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests issued by a database to flash cache per second",
"displayName": "FlashCache IOPS"
}
},
{
"key": "oracle.exadata.DB_FD_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this database to flash disks",
"displayName": "FlashDisks IO Mbps"
}
},
{
"key": "oracle.exadata.DB_FD_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this database for flash disks",
"displayName": "FlashDisks IO load (avg)"
}
},
{
"key": "oracle.exadata.DB_FD_IO_TM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing blocks by a database from flash disks",
"displayName": "FD RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.DB_FD_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks by a database from flash disks",
"displayName": "FD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.DB_FD_IO_TM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing blocks per request by a database from flash disks",
"displayName": "FD RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.DB_FD_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks by a database from flash disks",
"displayName": "FD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.DB_FD_IO_UTIL",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by this database",
"displayName": "Flash utilization"
}
},
{
"key": "oracle.exadata.DB_FD_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by large requests from this database",
"displayName": "Flash utilization by large requests"
}
},
{
"key": "oracle.exadata.DB_FD_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by small requests from this database",
"displayName": "Flash utilization by small requests"
}
},
{
"key": "oracle.exadata.DB_FD_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to flash disks by a database",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.DB_FD_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to flash disks by a database",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.DB_FL_IO_BY",
"metadata": {
"unit": "MegaByte",
"description": "The number of MB written to the Flash Log",
"displayName": "Flash Log MB written"
}
},
{
"key": "oracle.exadata.DB_FL_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "The number of MB written per second to the Flash Log",
"displayName": "Flash Log write rate MBps"
}
},
{
"key": "oracle.exadata.DB_FL_IO_RQ_SEC",
"metadata": {
"unit": "PerSecond",
"description": "The number of I/O requests per second issued to the Flash Log",
"displayName": "Flash Log request IOPS"
}
},
{
"key": "oracle.exadata.DB_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this database to hard disks",
"displayName": "Hard disks IO MBps"
}
},
{
"key": "oracle.exadata.DB_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this database for hard disks",
"displayName": "Hard disks IO load (avg)"
}
},
{
"key": "oracle.exadata.DB_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks by a database from hard disks",
"displayName": "HDD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.DB_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks by a database from hard disks",
"displayName": "HDD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.DB_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by large requests from this database",
"displayName": "Disk utilization by large requests"
}
},
{
"key": "oracle.exadata.DB_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by small requests from this database",
"displayName": "Disk utilization by small requests"
}
},
{
"key": "oracle.exadata.DB_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to hard disks by a database",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.DB_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to hard disks by a database",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.DB_XRM_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated in XRMEM cache for this database",
"displayName": "XRMEM DB cache MB allocated"
}
}
]
},
"smartio (optional)": {
"metrics": [
{
"key": "oracle.exadata.SIO_IO_EL_OF",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes eligible for smart IO offload",
"displayName": "Eligible MB for smart IO offload"
}
},
{
"key": "oracle.exadata.SIO_IO_EL_OF_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second eligible for smart IO offload",
"displayName": "Eligible MBps for smart IO offload"
}
},
{
"key": "oracle.exadata.SIO_IO_OF_RE",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of interconnect megabytes returned by smart IO",
"displayName": "Interconnect returned MB"
}
},
{
"key": "oracle.exadata.SIO_IO_OF_RE_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of interconnect megabytes per second returned by smart IO",
"displayName": "Interconnect returned MBps"
}
},
{
"key": "oracle.exadata.SIO_IO_PA_TH",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes of passthru IOs by smart IO",
"displayName": "Passthru IO MB"
}
},
{
"key": "oracle.exadata.SIO_IO_PA_TH_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second of passthru IOs by smart IO",
"displayName": "Passthru IO MBps"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_FC",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes read from flash cache by smart IO",
"displayName": "SIO reads MB from FlashCache"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_FC_HD",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes read from both flash cache and hard disk by smart IO",
"displayName": "SIO reads MB total"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_FC_HD_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second read from both flash cache and hard disk by smart IO",
"displayName": "SIO reads MBps total"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_FC_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second read from flash cache by smart IO",
"displayName": "SIO reads MBps from FlashCache"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_HD",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes read from hard disk by smart IO",
"displayName": "SIO reads MB from HDD"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_HD_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second read from hard disk by smart IO",
"displayName": "SIO reads MBps from HDD"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_RQ_FC_HD_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of read IO requests per second from both flash cache and hard disk by smart IO",
"displayName": "SIO read IOPS total"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_RQ_FC_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of read IO requests per second from flash cache by smart IO",
"displayName": "SIO FC read IOPS"
}
},
{
"key": "oracle.exadata.SIO_IO_RD_RQ_HD_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of read IO requests per second from hard disk by smart IO",
"displayName": "SIO HDD read IOPS"
}
},
{
"key": "oracle.exadata.SIO_IO_RV_OF",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes sent to DB node to balance CPU by smart IO",
"displayName": "DB node MB sent to balance CPU"
}
},
{
"key": "oracle.exadata.SIO_IO_RV_OF_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second sent to DB node to balance CPU by smart IO",
"displayName": "DB node MBps sent to balance CPU"
}
},
{
"key": "oracle.exadata.SIO_IO_SI_SV",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes saved by storage index",
"displayName": "Storage index save MB"
}
},
{
"key": "oracle.exadata.SIO_IO_SI_SV_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second saved by storage index",
"displayName": "Storage index save MBps"
}
},
{
"key": "oracle.exadata.SIO_IO_WR_FC",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes of flash cache population writes by smart IO",
"displayName": "SIO FC population writes MB"
}
},
{
"key": "oracle.exadata.SIO_IO_WR_FC_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second of flash cache population writes by smart IO",
"displayName": "SIO FC population writes MBps"
}
},
{
"key": "oracle.exadata.SIO_IO_WR_HD",
"metadata": {
"unit": "MegaByte",
"description": "Cumulative number of megabytes written to hard disk by smart IO",
"displayName": "SIO to HDD written MB"
}
},
{
"key": "oracle.exadata.SIO_IO_WR_HD_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second written to hard disk by smart IO",
"displayName": "SIO to HDD write MBps"
}
},
{
"key": "oracle.exadata.SIO_IO_WR_RQ_FC_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests per second for flash cache population writes by smart IO",
"displayName": "SIO FC population write IOPS"
}
},
{
"key": "oracle.exadata.SIO_IO_WR_RQ_HD_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of write IO requests per second to hard disk by smart IO",
"displayName": "SIO to HDD write IOPS"
}
},
{
"key": "oracle.exadata.SIO_BG_CPU",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative CPU time used by background smart IO",
"displayName": "Background SIO CPU time used (cumulative)"
}
},
{
"key": "oracle.exadata.SIO_FG_CPU",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative CPU time used by foreground smart IO",
"displayName": "Foreground SIO CPU time used (cumulative)"
}
},
{
"key": "oracle.exadata.SIO_PDB_BG_CPU",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative CPU time used by background smart IO for this pluggable database",
"displayName": "BG PDB SIO CPU time used (cumulative)"
}
},
{
"key": "oracle.exadata.SIO_PDB_BG_CPU_SEC",
"metadata": {
"unit": "PerSecond",
"description": "CPU time used by background smart IO per second for this pluggable database",
"displayName": "BG PDB SIO CPU time used (us/sec)"
}
},
{
"key": "oracle.exadata.SIO_PDB_FG_CPU",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative CPU time used by foreground smart IO for this pluggable database",
"displayName": "FG PDB SIO CPU time used (cumulative)"
}
},
{
"key": "oracle.exadata.SIO_PDB_FG_CPU_SEC",
"metadata": {
"unit": "PerSecond",
"description": "CPU time used by foreground smart IO per second for this pluggable database",
"displayName": "FG PDB SIO CPU time used (us/sec)"
}
}
]
},
"celldisk (optional)": {
"metrics": [
{
"key": "oracle.exadata.CD_IO_ERRS",
"metadata": {
"unit": "Count",
"description": "Number of IO errors on a cell disk",
"displayName": "Cell disk IO errors"
}
},
{
"key": "oracle.exadata.CD_IO_ERRS_MIN",
"metadata": {
"unit": "PerMinute",
"description": "Number of IO errors on a cell disk per minute",
"displayName": "Cell disk IO errors per minute"
}
},
{
"key": "oracle.exadata.CD_IO_TM_R_LG",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative latency of reading large blocks from a cell disk",
"displayName": "CD large read latency (cumulative )"
}
},
{
"key": "oracle.exadata.CD_IO_TM_R_SM",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative latency of reading small blocks from a cell disk",
"displayName": "CD small read latency (cumulative )"
}
},
{
"key": "oracle.exadata.CD_IO_TM_W_LG",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative latency of writing large blocks to a cell disk",
"displayName": "CD large write latency (cumulative )"
}
},
{
"key": "oracle.exadata.CD_IO_TM_W_LG_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "Average latency of writing large blocks per request to a cell disk",
"displayName": "CD large write latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CD_IO_TM_W_SM",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative latency of writing small blocks to a cell disk",
"displayName": "CD small write latency (cumulative )"
}
}
]
},
"flashcache-io-basic": {
"metrics": [
{
"key": "oracle.exadata.FC_BYKEEP_USED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes used for keep objects on FlashCache",
"displayName": "Keep pool used MB"
}
},
{
"key": "oracle.exadata.FC_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated in flash cache",
"displayName": "Allocated MB in FlashCache"
}
},
{
"key": "oracle.exadata.FC_BY_ALLOCATED_OLTP",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated for OLTP data in flash cache",
"displayName": "Allocated MB for OLTP data in FC"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes of small reads (OLTP) from flash cache",
"displayName": "OLTP small reads MB"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of small reads (OLTP) per second from flash cache",
"displayName": "OLTP small reads MBps"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SKIP",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read from disks for IO requests that bypass FlashCache",
"displayName": "Bypass reads MB"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written to FlashCache",
"displayName": "FlashCache MB written"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second written to FlashCache",
"displayName": "FlashCache write MBps"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SKIP",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written to disk for IO requests that bypass FlashCache",
"displayName": "Bypass written MB"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small reads (OLTP) per second satisfied from the flash cache",
"displayName": "OLTP small read hit IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second which resulted in FlashCache being populated with data",
"displayName": "IOPS successfully populating FC with data"
}
}
]
},
"flashlog (optional)": {
"metrics": [
{
"key": "oracle.exadata.FL_IO_DB_BY_W",
"metadata": {
"unit": "MegaByte",
"description": "The number of MB written to hard disk by Smart Flash Logging",
"displayName": "Flash Logging MB written to hard disk"
}
},
{
"key": "oracle.exadata.FL_IO_DB_BY_W_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "The rate which is the number of MB per second written to hard disk by Smart Flash Logging",
"displayName": "Flash Logging write to hard disk MBps"
}
},
{
"key": "oracle.exadata.FL_IO_FL_BY_W",
"metadata": {
"unit": "MegaByte",
"description": "The number of MB written to flash by Smart Flash Logging",
"displayName": "Flash Logging MB written to flash"
}
},
{
"key": "oracle.exadata.FL_IO_FL_BY_W_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "The rate which is the number of MB per second written to flash by Smart Flash Logging",
"displayName": "Flash Logging write to flash MBps"
}
},
{
"key": "oracle.exadata.FL_IO_TM_W",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative latency of all redo log writes",
"displayName": "Redo log writes cumulative latency"
}
},
{
"key": "oracle.exadata.FL_IO_TM_W_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "Average latency of all redo log writes",
"displayName": "Redo log writes average latency"
}
},
{
"key": "oracle.exadata.FL_IO_W_SKIP_BUSY_MIN",
"metadata": {
"unit": "PerMinute",
"description": "The number of redo writes during the last minute that could not be serviced by Smart Flash Logging because too much data had not yet been written to disk",
"displayName": "Redo writes skipped per minute due to not enough data on disk"
}
},
{
"key": "oracle.exadata.FL_RQ_TM_W",
"metadata": {
"unit": "MicroSecond",
"description": "Cumulative latency of all redo log write requests (includes network and other processing overhead)",
"displayName": "Redo log writes e2e cumulative latency"
}
},
{
"key": "oracle.exadata.FL_RQ_TM_W_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "Average latency of all redo log write requests",
"displayName": "Redo log writes e2e average latency"
}
}
]
},
"griddisk (optional)": {
"metrics": [
{
"key": "oracle.exadata.GD_IO_BY_R_LG",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read in large blocks from a grid disk",
"displayName": "GD large read MB"
}
},
{
"key": "oracle.exadata.GD_IO_BY_R_LG_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes read in large blocks per second from a grid disk",
"displayName": "GD large read MBps"
}
},
{
"key": "oracle.exadata.GD_IO_BY_R_SCRUB",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read from a grid disk by the scrubbing job",
"displayName": "GD Scrubbing job read MB"
}
},
{
"key": "oracle.exadata.GD_IO_BY_R_SCRUB_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes read per second from a grid disk by the scrubbing job",
"displayName": "GD Scrubbing job read MBps"
}
},
{
"key": "oracle.exadata.GD_IO_BY_R_SM",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read in small blocks from a grid disk",
"displayName": "GD small read MB"
}
},
{
"key": "oracle.exadata.GD_IO_BY_R_SM_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes read in small blocks per second from a grid disk",
"displayName": "GD small read MBps"
}
},
{
"key": "oracle.exadata.GD_IO_BY_W_LG",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written in large blocks to a grid disk",
"displayName": "GD large write MB"
}
},
{
"key": "oracle.exadata.GD_IO_BY_W_LG_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes written in large blocks per second to a grid disk",
"displayName": "GD large write MBps"
}
},
{
"key": "oracle.exadata.GD_IO_BY_W_SM",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written in small blocks to a grid disk",
"displayName": "GD small write MB"
}
},
{
"key": "oracle.exadata.GD_IO_BY_W_SM_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes written in small blocks per second to a grid disk",
"displayName": "GD small write MBps"
}
},
{
"key": "oracle.exadata.GD_IO_ERRS",
"metadata": {
"unit": "Count",
"description": "Number of IO errors on a grid disk",
"displayName": "Grid disk IO errors"
}
},
{
"key": "oracle.exadata.GD_IO_ERRS_MIN",
"metadata": {
"unit": "PerMinute",
"description": "Number of IO errors on a grid disk per minute",
"displayName": "Grid disk IO errors per minute"
}
},
{
"key": "oracle.exadata.GD_IO_ERRS_SCRUB",
"metadata": {
"unit": "Count",
"description": "Number of IO errors hit by the scrubbing job on a grid disk",
"displayName": "Grid disk IO errors scrubbed"
}
},
{
"key": "oracle.exadata.GD_NVM_READ_RETRIES",
"metadata": {
"unit": "Count",
"description": "Number of read retries for a non-volatile memory (NVM) grid disk",
"displayName": "Read retries for an NVM grid disk"
}
},
{
"key": "oracle.exadata.GD_SP_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Allocated physical space for grid disk in bytes",
"displayName": "Physical space MB allocated for grid disk"
}
},
{
"key": "oracle.exadata.GD_SP_IO_BY_PARTIAL",
"metadata": {
"unit": "Byte",
"description": "Bytes returned by partial IOs",
"displayName": "Partial IO bytes returned"
}
},
{
"key": "oracle.exadata.GD_SP_IO_BY_PARTIAL_SEC",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Bytes returned by partial IOs per second",
"displayName": "Partial IO bytes returned rate (kBps)"
}
},
{
"key": "oracle.exadata.GD_SP_IO_BY_REDIRECTED",
"metadata": {
"unit": "Byte",
"description": "Sparse bytes redirected to original data block",
"displayName": "Sparse bytes redirected"
}
},
{
"key": "oracle.exadata.GD_SP_IO_BY_REDIRECTED_SEC",
"metadata": {
"unit": "KiloBytePerSecond",
"description": "Sparse bytes redirected to original data block per second",
"displayName": "Sparse kBps redirected rate (kBps)"
}
},
{
"key": "oracle.exadata.GD_SP_IO_RQ_PARTIAL_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests that returned partial data per second",
"displayName": "Partial data return requests IOPS"
}
},
{
"key": "oracle.exadata.GD_SP_PRCT_ALLOCATED",
"metadata": {
"unit": "Percent",
"description": "Allocated physical space for grid disk by percentage",
"displayName": "Allocated physical space %"
}
}
]
},
"iorm-pdb (optional)": {
"metrics": [
{
"key": "oracle.exadata.PDB_FC_IO_RQ_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests issued by this pluggable database to flash cache per second",
"displayName": "FlashCache IOPS"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this pluggable database to flash disks",
"displayName": "FlashDisks IO Mbps"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this pluggable database for flash disks",
"displayName": "FlashDisks IO load (avg)"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_TM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing blocks by this pluggable database from flash disks",
"displayName": "FD RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks by this pluggable database from flash disks",
"displayName": "FD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_TM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing blocks per request by this pluggable database from flash disks",
"displayName": "FD RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks by this pluggable database from flash disks",
"displayName": "FD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_UTIL",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by this pluggable database",
"displayName": "Flash utilization"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by large requests from this pluggable database",
"displayName": "Flash utilization by large requests"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by small requests from this pluggable database",
"displayName": "Flash utilization by small requests"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to flash disks by this pluggable database",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.PDB_FD_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to flash disks by this pluggable database",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.PDB_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this pluggable database to hard disks",
"displayName": "Hard disks IO MBps"
}
},
{
"key": "oracle.exadata.PDB_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this pluggable database for hard disks",
"displayName": "Hard disks IO load (avg)"
}
},
{
"key": "oracle.exadata.PDB_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks by this pluggable database from hard disks",
"displayName": "HDD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.PDB_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks by this pluggable database from hard disks",
"displayName": "HDD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.PDB_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by large requests from this pluggable database",
"displayName": "Disk utilization by large requests"
}
},
{
"key": "oracle.exadata.PDB_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by small requests from this pluggable database",
"displayName": "Disk utilization by small requests"
}
},
{
"key": "oracle.exadata.PDB_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to hard disks by this pluggable database",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.PDB_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to hard disks by this pluggable database",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.PDB_XRM_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated in XRMEM cache for this pluggable database",
"displayName": "XRMEM PDB cache MB allocated"
}
},
{
"key": "oracle.exadata.PDB_CPU_UTIL_COL",
"metadata": {
"unit": "Percent",
"description": "For this PDB, percentage of cell CPU resources utilized by columnar population jobs",
"displayName": "Cell CPU usage by population jobs %"
}
},
{
"key": "oracle.exadata.PDB_CPU_UTIL_SIO",
"metadata": {
"unit": "Percent",
"description": "For this PDB, percentage of cell CPU resources utilized by smart IO jobs",
"displayName": "Cell CPU usage by smart IO jobs %"
}
},
{
"key": "oracle.exadata.PDB_SIO_OF_PCT",
"metadata": {
"unit": "Percent",
"description": "For this PDB, percentage of smart IO jobs processed on the cell versus jobs sent back to the database server because the PDB exhausted its cell CPU limit",
"displayName": "SIO jobs on cell vs sent back to DB (%)"
}
}
]
},
"db-server (optional)": {
"metrics": [
{
"key": "oracle.exadata.DS_RUNQ",
"metadata": {
"unit": "Count",
"description": "Average number (over the preceding minute) of processes in the Linux run queue marked running or uninterruptible (from /proc/loadavg).",
"displayName": "Exadata Run Queue Length"
}
}
]
},
"iorm-consumer-groups": {
"metrics": [
{
"key": "oracle.exadata.CG_FD_IO_UTIL",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by this consumer group",
"displayName": "Flash utilization"
}
},
{
"key": "oracle.exadata.CG_FD_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by large requests from this consumer group",
"displayName": "Flash utilization by large requests"
}
},
{
"key": "oracle.exadata.CG_FD_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by small requests from this consumer group",
"displayName": "Flash utilization by small requests"
}
},
{
"key": "oracle.exadata.CG_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by large requests from this consumer group",
"displayName": "Disk utilization by large requests"
}
},
{
"key": "oracle.exadata.CG_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by small requests from this consumer group",
"displayName": "Disk utilization by small requests"
}
}
]
},
"server-net-interface": {
"metrics": [
{
"key": "oracle.exadata.OS_NET_RX_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of bytes received by the network interface",
"displayName": "Interface RX MBps"
}
},
{
"key": "oracle.exadata.OS_NET_RX_CRC_ERROR_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of packets with a CRC error received on the network interface",
"displayName": "Interface CRC error rate (pps)"
}
},
{
"key": "oracle.exadata.OS_NET_RX_DRP_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of packets dropped by the network interface",
"displayName": "Interface RX drop rate (pps)"
}
},
{
"key": "oracle.exadata.OS_NET_RX_FRAME_ERROR_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of receiver-side frame alignment errors on the network interface",
"displayName": "Interface framing error rate (pps)"
}
},
{
"key": "oracle.exadata.OS_NET_TX_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of bytes transmitted by the network interface",
"displayName": "Interface TX MBps"
}
},
{
"key": "oracle.exadata.OS_NET_TX_DRP_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of packets dropped by the network interface",
"displayName": "Interface TX drop rate (pps)"
}
}
]
},
"flashcache-io-details": {
"metrics": [
{
"key": "oracle.exadata.FC_IO_BY_R_ACTIVE_SECONDARY",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes for active secondary reads satisfied from flash cache",
"displayName": "Active secondary reads MB satisfied from FC"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_ACTIVE_SECONDARY_MISS",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes for active secondary reads not satisfied from flash cache",
"displayName": "Active secondary reads MB not satisfied from FC"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_ACTIVE_SECONDARY_MISS_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second for active secondary reads not satisfied from flash cache",
"displayName": "Active secondary read MBps not satisfied from FC"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_ACTIVE_SECONDARY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second for active secondary reads satisfied from flash cache",
"displayName": "Active secondary read MBps satisfied from FC"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_DISK_WRITER",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read from flash cache by disk writer",
"displayName": "Disk writer MB read"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_DISK_WRITER_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second read from flash cache by disk writer",
"displayName": "Disk writer MBps read"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_DW",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes of large reads (DW) from flash cache",
"displayName": "DW large reads MB from FC"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_DW_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of large reads (DW) per second from flash cache",
"displayName": "DW large reads MBps from FC"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_MISS",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes of small reads (OLTP) from disks because some of the requested data was not in flash cache",
"displayName": "OLTP small reads MB due to keep misses"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_MISS_DW",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes of large reads (DW) from disks because some of the requested data was not in flash cache",
"displayName": "DW large reads MB due to keep misses"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_MISS_DW_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of large reads (DW) per second from disks because some of the requested data was not in flash cache",
"displayName": "DW large reads MBps due to keep misses"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_MISS_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of small reads (OLTP) per second from disks because some of the requested data was not in flash cache",
"displayName": "OLTP small reads MBps due to keep misses"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SKIP_FC_THROTTLE",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read from disk for IO requests that bypass FlashCache due to heavy load on FlashCache",
"displayName": "Bypass reads MB due to heavy load"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SKIP_FC_THROTTLE_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes read per second from disk for IO requests that bypass FlashCache due to heavy load on FlashCache",
"displayName": "Bypass reads MBps due to heavy load"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SKIP_LG",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read from disk for IO requests that bypass FlashCache due to the large IO size",
"displayName": "Bypass reads MB due to large IO size"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SKIP_LG_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes read per second from disk for IO requests that bypass FlashCache due to the large IO size",
"displayName": "Bypass reads MBps due to large IO size"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SKIP_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes read from disks per second for IO requests that bypass FlashCache",
"displayName": "Bypass reads MBps"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_DISK_WRITER",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written to hard disks by disk writer",
"displayName": "Disk writer MB written"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_DISK_WRITER_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second written to hard disks by disk writer",
"displayName": "Disk writer MBps written"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_FIRST",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes that are first writes into flash cache",
"displayName": "First write MB into FlashCache"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_FIRST_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second that are first writes into flash cache",
"displayName": "First write MBps into FlashCache"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_METADATA",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes that are flash cache metadata writes",
"displayName": "FC metadata writes MB"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_METADATA_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second that are flash cache metadata writes",
"displayName": "FC metadata writes MBps"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_OVERWRITE",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes that are overwrites into flash cache",
"displayName": "FC overwrite MB"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_OVERWRITE_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second that are overwrites into flash cache",
"displayName": "FC overwrite MBps"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_POPULATE",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes that are population writes into flash cache due to read miss",
"displayName": "FC population writes MB due to read miss"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_POPULATE_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second that are population writes into flash cache due to read miss",
"displayName": "FC population writes MBps due to read miss"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SKIP_FC_THROTTLE",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written to disk for IO requests that bypass FlashCache due to heavy load on FlashCache",
"displayName": "Bypass written MB due to heavy load"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SKIP_FC_THROTTLE_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes written per second to disk for IO requests that bypass FlashCache due to heavy load on FlashCache",
"displayName": "Bypass write MBps due to heavy load"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SKIP_LG",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written to disk for IO requests that bypass FlashCache due to the large IO size",
"displayName": "Bypass written MB due to large IO size"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SKIP_LG_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes written per second to disk for IO requests that bypass FlashCache due to the large IO size",
"displayName": "Bypass write MBps due to large IO size"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SKIP_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes written to disk per second for IO requests that bypass FlashCache",
"displayName": "Bypass write MBps"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_ACTIVE_SECONDARY_MISS_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second for active secondary reads not satisfied from flash cache",
"displayName": "Active secondary read IOPS not satisfied from FC"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_ACTIVE_SECONDARY_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second for active secondary reads satisfied from flash cache",
"displayName": "Active secondary read IOPS satisfied from FC"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_DISK_WRITER_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second read from flash cache by disk writer",
"displayName": "Disk writer FC read IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_DW_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large reads (DW) per second satisfied from the flash cache",
"displayName": "DW large read hit IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_MISS_DW_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large reads (DW) per second that did not find all data in flash cache",
"displayName": "DW large read miss IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_MISS_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small reads (OLTP) per second that did not find all data in flash cache",
"displayName": "OLTP small read miss IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_SKIP_FC_THROTTLE_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests read from disk per second that bypassed FlashCache due to heavy load on FlashCache",
"displayName": "Bypass read IOPS due to heavy load"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_SKIP_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests read from disk per second that bypass FlashCache due to the large IO size",
"displayName": "Bypass read IOPS due to large IO size"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_R_SKIP_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests read from disk per second that bypass FlashCache",
"displayName": "Bypass read IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_DISK_WRITER_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second written to hard disks by disk writer",
"displayName": "Disk writer HDD write IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_FIRST_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second that are first writes into flash cache",
"displayName": "First write into FlashCache IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_METADATA_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second that are flash cache metadata writes",
"displayName": "FC metadata writes IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_OVERWRITE_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second that are overwrites into flash cache",
"displayName": "FC overwrite IOPS"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_POPULATE_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second that are population writes into flash cache due to read miss",
"displayName": "Population FC write IOPS due to read miss"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_SKIP_FC_THROTTLE_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests written to disk per second that bypass FlashCache due to heavy load on FlashCache",
"displayName": "Bypass write IOPS due to heavy load"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_SKIP_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests written to disk per second that bypass FlashCache due to the large IO size",
"displayName": "Bypass write IOPS due to large IO size"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_W_SKIP_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests written to disk per second that bypass FlashCache",
"displayName": "Bypass write IOPS"
}
}
]
},
"cell-global (optional)": {
"metrics": [
{
"key": "oracle.exadata.CL_IO_RQ_NODATA_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests that did not return data per second",
"displayName": "IOPS with no data returned"
}
},
{
"key": "oracle.exadata.CL_RUNQ",
"metadata": {
"unit": "Count",
"description": "Average number (over the preceding minute) of processes in the Linux run queue marked running or uninterruptible (from /proc/loadavg).",
"displayName": "Exadata Run Queue Length"
}
}
]
},
"iorm-cluster (optional)": {
"metrics": [
{
"key": "oracle.exadata.CLU_FC_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued to flash cache per second by this cluster",
"displayName": "FC large request IOPS"
}
},
{
"key": "oracle.exadata.CLU_FC_IO_RQ_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests issued to flash cache per second by this cluster",
"displayName": "FlashCache IOPS"
}
},
{
"key": "oracle.exadata.CLU_FC_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued to flash cache per second by this cluster",
"displayName": "FC small request IOPS"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load for flash disks from this cluster",
"displayName": "FlashDisks IO load (avg)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued to flash disks per second by this cluster",
"displayName": "FD large request IOPS"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued to flash disks per second by this cluster",
"displayName": "FD small request IOPS"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_TM",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the cumulative latency for block read or write requests from flash disks",
"displayName": "FD RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the cumulative latency for large block read or write requests from flash disks",
"displayName": "FD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_TM_LG_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the average latency for each large block read or write request from flash disks",
"displayName": "FD large RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_TM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the average latency for each block read or write request from flash disks",
"displayName": "FD RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the cumulative latency for small block read or write requests from flash disks",
"displayName": "FD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_TM_SM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the average latency for each small block read or write request from flash disks",
"displayName": "FD small RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by large requests from this cluster",
"displayName": "Flash utilization by large requests"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by small requests from this cluster",
"displayName": "Flash utilization by small requests"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to flash disks by this cluster",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_WT_LG_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for large IO requests issued to flash disks by this cluster",
"displayName": "IORM wait /req for large requests (avg)"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to flash disks by this cluster",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.CLU_FD_IO_WT_SM_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for small IO requests issued to flash disks by this cluster",
"displayName": "IORM wait /req for small requests (avg)"
}
},
{
"key": "oracle.exadata.CLU_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load for hard disks from this cluster",
"displayName": "Hard disks IO load (avg)"
}
},
{
"key": "oracle.exadata.CLU_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued to hard disks per second by this cluster",
"displayName": "HDD large request IOPS"
}
},
{
"key": "oracle.exadata.CLU_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued to hard disks per second by this cluster",
"displayName": "HDD small request IOPS"
}
},
{
"key": "oracle.exadata.CLU_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the cumulative latency for large block read or write requests from hard disks",
"displayName": "HDD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CLU_IO_TM_LG_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the average latency for each large block read or write request from hard disks",
"displayName": "HDD large RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CLU_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the cumulative latency for small block read or write requests from hard disks",
"displayName": "HDD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CLU_IO_TM_SM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "For this cluster, the average latency for each small block read or write request from hard disks",
"displayName": "HDD small RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CLU_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to hard disks by this cluster",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.CLU_IO_WT_LG_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for large IO requests issued to hard disks by this cluster",
"displayName": "IORM wait /req for large requests (avg)"
}
},
{
"key": "oracle.exadata.CLU_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to hard disks by this cluster",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.CLU_IO_WT_SM_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for small IO requests issued to hard disks by this cluster",
"displayName": "IORM wait /req for small requests (avg)"
}
}
]
},
"iorm-category (optional)": {
"metrics": [
{
"key": "oracle.exadata.CT_FC_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued by an IORM category to flash cache per second",
"displayName": "FC large request IOPS"
}
},
{
"key": "oracle.exadata.CT_FC_IO_RQ_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests issued by an IORM category to flash cache per second",
"displayName": "FlashCache IOPS"
}
},
{
"key": "oracle.exadata.CT_FC_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued by an IORM category to flash cache per second",
"displayName": "FC small request IOPS"
}
},
{
"key": "oracle.exadata.CT_FD_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this category for flash disks",
"displayName": "FlashDisks IO load (avg)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued by an IORM category to flash disks per second",
"displayName": "FD large request IOPS"
}
},
{
"key": "oracle.exadata.CT_FD_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued by an IORM category to flash disks per second",
"displayName": "FD small request IOPS"
}
},
{
"key": "oracle.exadata.CT_FD_IO_TM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing blocks for this category from flash disks",
"displayName": "FD RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks for this category from flash disks",
"displayName": "FD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_TM_LG_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing large blocks per request for this category from flash disks",
"displayName": "FD large RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_TM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing blocks per request for this category from flash disks",
"displayName": "FD RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks for this category from flash disks",
"displayName": "FD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_TM_SM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing small blocks per request for this category from flash disks",
"displayName": "FD small RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_UTIL",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by this category",
"displayName": "Flash utilization"
}
},
{
"key": "oracle.exadata.CT_FD_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by large requests from this category",
"displayName": "Flash utilization by large requests"
}
},
{
"key": "oracle.exadata.CT_FD_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of flash resources utilized by small requests from this category",
"displayName": "Flash utilization by small requests"
}
},
{
"key": "oracle.exadata.CT_FD_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to flash disks by an IORM category",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.CT_FD_IO_WT_LG_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for large IO requests issued to flash disks by an IORM category",
"displayName": "IORM wait /req for large requests (avg)"
}
},
{
"key": "oracle.exadata.CT_FD_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to flash disks by an IORM category",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.CT_FD_IO_WT_SM_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for small IO requests issued to flash disks by an IORM category",
"displayName": "IORM wait /req for small requests (avg)"
}
},
{
"key": "oracle.exadata.CT_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this category to hard disks",
"displayName": "Hard disks IO MBps"
}
},
{
"key": "oracle.exadata.CT_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this category for hard disks",
"displayName": "Hard disks IO load (avg)"
}
},
{
"key": "oracle.exadata.CT_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued by an IORM category to hard disks per second",
"displayName": "HDD large request IOPS"
}
},
{
"key": "oracle.exadata.CT_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued by an IORM category to hard disks per second",
"displayName": "HDD small request IOPS"
}
},
{
"key": "oracle.exadata.CT_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks for this category from hard disks",
"displayName": "HDD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CT_IO_TM_LG_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing large blocks per request for this category from hard disks",
"displayName": "HDD large RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CT_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks for this category from hard disks",
"displayName": "HDD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CT_IO_TM_SM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing small blocks per request for this category from hard disks",
"displayName": "HDD small RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CT_IO_UTIL_LG",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by large requests from this category",
"displayName": "Disk utilization by large requests"
}
},
{
"key": "oracle.exadata.CT_IO_UTIL_SM",
"metadata": {
"unit": "Percent",
"description": "Percentage of disk resources utilized by small requests from this category",
"displayName": "Disk utilization by small requests"
}
},
{
"key": "oracle.exadata.CT_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to hard disks by an IORM category",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.CT_IO_WT_LG_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for large IO requests issued to hard disks by an IORM category",
"displayName": "IORM wait /req for large requests (avg)"
}
},
{
"key": "oracle.exadata.CT_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to hard disks by an IORM category",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.CT_IO_WT_SM_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for small IO requests issued to hard disks by an IORM category",
"displayName": "IORM wait /req for small requests (avg)"
}
}
]
},
"server-global (optional)": {
"metrics": [
{
"key": "oracle.exadata.EXW_CELLMEM_CELL_AVAIL",
"metadata": {
"unit": "GigaByte",
"description": "Memory available for smart scans",
"displayName": "Memory available for smart scans"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_CELL_AVAIL_PCT",
"metadata": {
"unit": "Percent",
"description": "Percentage of memory available for smart scans",
"displayName": "Memory % available for smart scans"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_CELL_CELLSRV",
"metadata": {
"unit": "GigaByte",
"description": "Memory used/reserved by CELLSRV",
"displayName": "Memory used/reserved by CELLSRV"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_CELL_KNL",
"metadata": {
"unit": "GigaByte",
"description": "Estimated kernel memory used by CELLSRV",
"displayName": "Kernel memory used by CELLSRV"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_CELL_MAX",
"metadata": {
"unit": "GigaByte",
"description": "Maximum memory limit for Exadata software",
"displayName": "Max memory limit for Exadata software"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_CELL_OFFLOAD",
"metadata": {
"unit": "GigaByte",
"description": "Memory used/reserved by cell offload servers",
"displayName": "Memory used/reserved by cell offload servers"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_OS_AVAIL",
"metadata": {
"unit": "GigaByte",
"description": "Physical memory available in the system",
"displayName": "Physical memory available in the system"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_OS_AVAIL_PCT",
"metadata": {
"unit": "Percent",
"description": "Percentage of physical memory available in the system",
"displayName": "Physical memory % available in the system"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_OS_KNL",
"metadata": {
"unit": "GigaByte",
"description": "Memory used by the OS kernel",
"displayName": "Memory used by the OS kernel"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_OS_TOTAL",
"metadata": {
"unit": "GigaByte",
"description": "Total amount of memory in the system",
"displayName": "System memory total"
}
},
{
"key": "oracle.exadata.EXW_CELLMEM_OS_USR",
"metadata": {
"unit": "GigaByte",
"description": "Memory used by user-level processes",
"displayName": "Memory used by user-level processes"
}
},
{
"key": "oracle.exadata.XRM_BY_ALLOCATED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated in XRMEM cache",
"displayName": "XRMEM cache MB allocated total"
}
},
{
"key": "oracle.exadata.EXW_RDS_CONG_SEND_BLOCKED",
"metadata": {
"unit": "Count",
"description": "Number of non-blocked sends that were blocked due to destination congestion",
"displayName": "Non-blocked sends blocked by congestion"
}
},
{
"key": "oracle.exadata.EXW_RDS_CONG_SEND_ERROR",
"metadata": {
"unit": "Count",
"description": "Number of blocked sends not completed due to destination congestion",
"displayName": "Blocked sends not completed"
}
},
{
"key": "oracle.exadata.EXW_RDS_IB_MR_1M_POOL_DEPLETED",
"metadata": {
"unit": "Count",
"description": "Number of times the 1MB pool reached maximum capacity",
"displayName": "Times the 1MB pool reached maximum capacity"
}
},
{
"key": "oracle.exadata.EXW_RDS_IB_RDMA_MR_8K_POOL_DEPLETED",
"metadata": {
"unit": "Count",
"description": "Number of times the 8KB pool reached maximum capacity",
"displayName": "Times the 8KB pool reached maximum capacity"
}
},
{
"key": "oracle.exadata.EXW_RDS_IB_TX_STALLED",
"metadata": {
"unit": "Count",
"description": "Number of network send requests exceeding 500ms to complete",
"displayName": "Send requests exceeding 500ms to complete"
}
}
]
},
"flashcache-columnar-cache": {
"metrics": [
{
"key": "oracle.exadata.FC_COL_BY_USED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes used in Columnar FlashCache",
"displayName": "Columnar FlashCache used"
}
},
{
"key": "oracle.exadata.FC_COL_IO_BY_R_ELIGIBLE_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second eligible to read from Columnar FlashCache",
"displayName": "Eligible MBps to read from Columnar FC"
}
},
{
"key": "oracle.exadata.FC_COL_IO_RQ_R_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second that were read from Columnar FlashCache",
"displayName": "Read IOPS from Columnar FC"
}
}
]
},
"host-interconnect (optional)": {
"metrics": [
{
"key": "oracle.exadata.N_MB_DROP",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes droped during transmission to a particular host",
"displayName": "Host TX MB dropped"
}
},
{
"key": "oracle.exadata.N_MB_DROP_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes droped during transmission per second to a particular host",
"displayName": "Host TX MBps dropped"
}
},
{
"key": "oracle.exadata.N_MB_RDMA_DROP",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes dropped during RDMA transmission to a particular host",
"displayName": "RDMA TX MB dropped"
}
},
{
"key": "oracle.exadata.N_MB_RECEIVED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes received from a particular host",
"displayName": "RX MB from host"
}
},
{
"key": "oracle.exadata.N_MB_RESENT",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes resent to a particular host",
"displayName": "Resent MB to host"
}
},
{
"key": "oracle.exadata.N_MB_RESENT_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes resent per second to a particular host",
"displayName": "Resent MBps to host"
}
},
{
"key": "oracle.exadata.N_MB_SENT",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes transmitted to a particular host",
"displayName": "TX MB to host"
}
},
{
"key": "oracle.exadata.N_RDMA_RETRY_TM",
"metadata": {
"unit": "MilliSecond",
"description": "Latency of the retry actions during RDMA transmission to a particular host",
"displayName": "RDMA TX retry latency"
}
}
]
},
"flashcache-io-basic (optional)": {
"metrics": [
{
"key": "oracle.exadata.FC_BYKEEP_DIRTY",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes unflushed for keep objects on FlashCache",
"displayName": "Unflushed MB on keep pool"
}
},
{
"key": "oracle.exadata.FC_BYKEEP_OLTP",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes for OLTP keep objects in flash cache",
"displayName": "OLTP keep pool MB"
}
},
{
"key": "oracle.exadata.FC_BYKEEP_OVERWR",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes pushed out of the FlashCache because of space limit for keep objects",
"displayName": "Pushed out MB due to keep pool limits"
}
},
{
"key": "oracle.exadata.FC_BYKEEP_OVERWR_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second pushed out of the FlashCache because of space limit for keep objects",
"displayName": "Pushed out MBps due to keep pool limits"
}
},
{
"key": "oracle.exadata.FC_BY_ALLOCATED_DIRTY",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes allocated for unflushed data in flash cache",
"displayName": "Allocated MB for unflushed data in FC"
}
},
{
"key": "oracle.exadata.FC_BY_DIRTY",
"metadata": {
"unit": "MegaByte",
"description": "Number of unflushed megabytes in FlashCache",
"displayName": "Unflushed MB in FlashCache"
}
},
{
"key": "oracle.exadata.FC_BY_STALE_DIRTY",
"metadata": {
"unit": "MegaByte",
"description": "Number of unflushed megabytes in FlashCache which cannot be flushed because cached disks are not accessible",
"displayName": "Unflushed MB due to disk not accessible"
}
},
{
"key": "oracle.exadata.FC_BY_USED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes used on FlashCache",
"displayName": "Used MB on FlashCache"
}
},
{
"key": "oracle.exadata.FC_IO_ERRS",
"metadata": {
"unit": "Count",
"description": "Number of IO errors on FlashCache",
"displayName": "FlashCache IO errors"
}
}
]
},
"iorm-consumer-groups (optional)": {
"metrics": [
{
"key": "oracle.exadata.CG_FC_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this consumer group to flash cache",
"displayName": "FlashCache IO MBps"
}
},
{
"key": "oracle.exadata.CG_FC_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued by a consumer group to flash cache per second",
"displayName": "FC large request IOPS"
}
},
{
"key": "oracle.exadata.CG_FC_IO_RQ_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of IO requests issued by a consumer group to flash cache per second",
"displayName": "FlashCache IOPS"
}
},
{
"key": "oracle.exadata.CG_FC_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued by a consumer group to flash cache per second",
"displayName": "FC small request IOPS"
}
},
{
"key": "oracle.exadata.CG_FD_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this consumer group to flash disks",
"displayName": "FlashDisks IO Mbps"
}
},
{
"key": "oracle.exadata.CG_FD_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this consumer group for flash disks",
"displayName": "FlashDisks IO load (avg)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued by a consumer group to flash disks per second",
"displayName": "FD large request IOPS"
}
},
{
"key": "oracle.exadata.CG_FD_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued by a consumer group to flash disks per second",
"displayName": "FD small request IOPS"
}
},
{
"key": "oracle.exadata.CG_FD_IO_TM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing blocks by a consumer group from flash disks",
"displayName": "FD RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks by a consumer group from flash disks",
"displayName": "FD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_TM_LG_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing large blocks per request by a consumer group from flash disks",
"displayName": "FD large RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_TM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing blocks per request by a consumer group from flash disks",
"displayName": "FD RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks by a consumer group from flash disks",
"displayName": "FD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_TM_SM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing small blocks per request by a consumer group from flash disks",
"displayName": "FD small RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to flashdisks by a consumer group",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.CG_FD_IO_WT_LG_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for large IO requests issued to flash disks by a consumer group",
"displayName": "IORM wait /req for large requests (avg)"
}
},
{
"key": "oracle.exadata.CG_FD_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to flashdisks by a consumer group",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.CG_FD_IO_WT_SM_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for small IO requests issued to flash disks by a consumer group",
"displayName": "IORM wait /req for small requests (avg)"
}
},
{
"key": "oracle.exadata.CG_IO_BY_SEC",
"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes of I/O per second for this consumer group to hard disks",
"displayName": "Hard disks IO MBps"
}
},
{
"key": "oracle.exadata.CG_IO_LOAD",
"metadata": {
"unit": "Count",
"description": "Average I/O load from this consumer group for hard disks",
"displayName": "Hard disks IO load (avg)"
}
},
{
"key": "oracle.exadata.CG_IO_RQ_LG_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of large IO requests issued by a consumer group to hard disks per second",
"displayName": "HDD large request IOPS"
}
},
{
"key": "oracle.exadata.CG_IO_RQ_SM_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of small IO requests issued by a consumer group to hard disks per second",
"displayName": "HDD small request IOPS"
}
},
{
"key": "oracle.exadata.CG_IO_TM_LG",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing large blocks by a consumer group from hard disks",
"displayName": "HDD large RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CG_IO_TM_LG_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing large blocks per request by a consumer group from hard disks",
"displayName": "HDD large RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CG_IO_TM_SM",
"metadata": {
"unit": "MicroSecond",
"description": "The cumulative latency of reading or writing small blocks by a consumer group from hard disks",
"displayName": "HDD small RW latency (cumulative)"
}
},
{
"key": "oracle.exadata.CG_IO_TM_SM_RQ",
"metadata": {
"unit": "MicroSecond",
"description": "The rate which is the average latency of reading or writing small blocks per request by a consumer group from hard disks",
"displayName": "HDD small RW latency rate (us/req)"
}
},
{
"key": "oracle.exadata.CG_IO_WT_LG",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for large IO requests issued to hard disks by a consumer group",
"displayName": "IORM wait for large requests"
}
},
{
"key": "oracle.exadata.CG_IO_WT_LG_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for large IO requests issued to hard disks by a consumer group",
"displayName": "IORM wait /req for large requests (avg)"
}
},
{
"key": "oracle.exadata.CG_IO_WT_SM",
"metadata": {
"unit": "MilliSecond",
"description": "IORM wait time for small IO requests issued to hard disks by a consumer group",
"displayName": "IORM wait for small requests"
}
},
{
"key": "oracle.exadata.CG_IO_WT_SM_RQ",
"metadata": {
"unit": "MilliSecond",
"description": "Average IORM wait time per request for small IO requests issued to hard disks by a consumer group",
"displayName": "IORM wait /req for small requests (avg)"
}
}
]
},
"flashcache-io-details (optional)": {
"metrics": [
{
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"unit": "MegaByte",
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"displayName": "FC keep pool read MB"
}
},
{
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{
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"metadata": {
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"description": "Number of megabytes per second written to FlashCache for keep objects",
"displayName": "FC keep pool write MBps"
}
},
{
"key": "oracle.exadata.FC_IO_BY_DISK_WRITE",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written from flash cache to hard disks",
"displayName": "MB written from FC to hard disks"
}
},
{
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"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes per second written from flash cache to hard disks",
"displayName": "MBps written from FC to hard disks"
}
},
{
"key": "oracle.exadata.FC_IO_BY_R_SKIP_NCMIRROR",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read from disk for IO requests that bypass FlashCache as the IO is on non-primary, non-active secondary mirror",
"displayName": "Bypass reads MB due to not mirrored IO"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_LG_CHINT",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes used for large writes to flash cache due to cache hint",
"displayName": "FC large write MB due to cache hint"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_LG_DTAGE",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes used for data aging large writes to flash cache",
"displayName": "FC data aging large writes MB"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_LG_MRCV",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes used for media recovery large writes to flash cache",
"displayName": "FC media recovery large writes MB"
}
},
{
"key": "oracle.exadata.FC_IO_BY_W_SKIP_NCMIRROR",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes written to disk for IO requests that bypass FlashCache as the IO is on non-primary, non-active secondary mirror",
"displayName": "Bypass written MB due to not mirrored IO"
}
},
{
"key": "oracle.exadata.FC_IO_RQKEEP_R_MISS_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of read requests per second for keep objects which did not find all data in FlashCache",
"displayName": "FC keep pool read IOPS missed"
}
},
{
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"metadata": {
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"description": "Number of read requests per second for keep objects from FlashCache",
"displayName": "FC keep pool read IOPS"
}
},
{
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"unit": "PerSecond",
"description": "Number of read requests per second for keep objects that bypass FlashCache",
"displayName": "FC keep pool read IOPS resulting in bypass"
}
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"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second for keep objects which resulted in FlashCache being populated with data",
"displayName": "FC keep pool read IOPS which populated data"
}
},
{
"key": "oracle.exadata.FC_IO_RQ_DISK_WRITE_SEC",
"metadata": {
"unit": "PerSecond",
"description": "Number of requests per second written from flash cache to hard disks",
"displayName": "FlashCache to HDD write IOPS"
}
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"metrics": [
{
"key": "oracle.exadata.FC_COL_BYKEEP_USED",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes used for keep objects in Columnar FlashCache",
"displayName": "Columnar keep pool used MB"
}
},
{
"key": "oracle.exadata.FC_COL_IO_BYKEEP_R",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes read from Columnar FlashCache for keep objects",
"displayName": "Read MB for keep"
}
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"metadata": {
"unit": "MegaBytePerSecond",
"description": "Number of megabytes read per second from Columnar FlashCache for keep objects",
"displayName": "Read MBps for keep"
}
},
{
"key": "oracle.exadata.FC_COL_IO_BY_R",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes that were read from Columnar FlashCache",
"displayName": "Read MB from Columnar FC"
}
},
{
"key": "oracle.exadata.FC_COL_IO_BY_R_ELIGIBLE",
"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes eligible to read from Columnar FlashCache",
"displayName": "Eligible MB to read from Columnar FC"
}
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}
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"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes saved by reads from Columnar FlashCache",
"displayName": "MB saved by reads from Columnar FC"
}
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"unit": "MegaBytePerSecond",
"description": "Number of megabytes saved per second by reads from Columnar FlashCache",
"displayName": "MBps saved by reads from Columnar FC"
}
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"metadata": {
"unit": "MegaByte",
"description": "Number of megabytes that are population writes into Columnar FlashCache due to read miss",
"displayName": "Population columnar FC writes MB due to read miss"
}
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"description": "Number of requests read per second for keep objects from Columnar FlashCache",
"displayName": "Read IOPS for keep"
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"unit": "PerSecond",
"description": "Number of requests per second that are population writes into Columnar FlashCache due to read miss",
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{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "Oracle Exadata extension connects to your Exadata devices and collects Exadata characteristics published by the Oracle Prometheus exporter. Metrics collected are continuously analyzed on Dynatrace platform, leveraging topological Exadata model that the extension maintains. Unified analysis screens offer insight into health and performance of the Exadata platform, including storage server and its components, such as flash cache, cell disks, and grid disks. Out of the box alerts notify on critical issues with the Exadata resources, including memory, CPU and I/O latency.\n\n**This extension is intended for users, who**:\n\n- Look to reliably monitor Exadata components and resource utilization with comprehensive dashboards and screens\n- Want to take pre-emptive measures to avoid service degradations rooting down to the Exadata resources oversubscription\n- Want to leverage rich observability signals provided out-of-the-box by the Exadata Prometheus exporters\n- Use Dynatrace for infrastructure monitoring and look to extend Dynatrace insights into the Exadata tier of their end-to-end infrastructure"
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"sourceId": "about"
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{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "- Integrated operational monitoring of the infrastructure, including Exadata\n- Early alerting on anomalies mounting in Exadata resource usage patterns\n- Root cause analysis of the Exadata bottlenecks, in the light of the entire application and infrastructure landscape observed by Dynatrace"
},
"sourceId": "use_cases"
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"title": "Get started",
"source": "- Follow the instructions for [Using Real-Time Insight](https://www.oracle.com/pls/topic/lookup?ctx=en/engineered-systems/exadata-database-machine&id=SAGUG-GUID-8448C324-784E-44F5-9D44-9CB5C697E436) in the Oracle Exadata System Software User's Guide to configure metric stream for each type of server you want to monitor. Use the following script in `DBMCLI` on Database Servers (including VMs) and `CELLCLI` on Storage Servers to create a user with the appropriate privileges to consume the metrics.\n \n```\nCREATE ROLE realtime_collector\nGRANT PRIVILEGE LIST ON METRICSTREAM ALL ATTRIBUTES WITH ALL OPTIONS TO ROLE realtime_collector\nCREATE USER realtime_collector PASSWORD=\"password\" ### Don't forget to change this password\nGRANT ROLE realtime_collector to user realtime_collector\n```\n\n- Activate the extension in your Dynatrace environment web-UI using the in-product Hub and choose Monitor remotely.\n- Provide the required Prometheus exporter endpoint configuration:\n - Endpoint for storage servers: `https://server-name/metricstream/list?stream=true`\n - Endpoint for database servers using port `7879`: `https://server-name:7879/metricstream/list?stream=true`\n - Use Basic authentication with the user realtime_collector and password set in `DBMCLI` and `CELLCLI`"
},
"sourceId": "get_started"
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"properties": {
"title": "Details",
"source": "**The extension package contains**:\n\n- Python scripts that connect to the Exadata endpoints and scrape the metrics \n- Topology and relationship definitions for Exadata entities\n- A dashboard offering high-level Exadata platform overview\n- Unified Analysis pages for each Exadata entity\n\n**Summary of the entities monitored**:\n\nThe Oracle Exadata extension collects metrics for:\n\n- Exadata Server\n- Exadata DB Server Filesystem\n- Exadata Cell Filesystem\n- Exadata Net Interface\n- Exadata PMEM Cache\n- Exadata Disk\n- Exadata Grid Disk\n- Exadata Cell Disk\n- Exadata Cell\n- Exadata DB Server\n- Exadata IORM Database\n- Exadata IORM Pluggable Database\n- Exadata IORM pluggable database on cell\n- Exadata IORM Consumer Group\n- Exadata IORM Cluster\n- Exadata Flash Cache\n- Exadata Flash Cache on cell\n- Exadata Flash Cache on DB\n- Exadata Flash Cache on PDB"
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"properties": {
"title": "Compatibility information",
"source": "- Network access from a Dynatrace ActiveGate to the Exadata endpoints specified in the **Get started** section\n- Oracle Exadata System Software 22.1.0+\n - This Extension uses API introduced in [Exadata System Software 22.1.0](https://docs.oracle.com/en/engineered-systems/exadata-database-machine/dbmso/whats-new-oracle-exadata-system-software-release-22.1.html)\n - Your **Exadata Database Machine** and **Exadata Storage Server** would carry the same version number as the Exadata System Software indicates\n- Note that this extension **does not support ExaCC**"
},
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{
"type": "markdown",
"properties": {
"title": "Q&A",
"source": "### Q: Can I monitor ExaCC with this extension?\n\nA: This extension does not support monitoring ExaCC (Exadata Cloud at Customer). We are working on adding ExaCC monitoring support in the future, but not in this extension due to API differences between regular Exadata and ExaCC.\n\n### Q: How to comprehend Exadata metric names, when theres so many of them?\n\nA: Exadata metric keys have a self-explanatory structure. Knowing it, you will always be able to understand what specific metric represents, exactly, even if its name or description looks similar to other available metrics.\n\nKey to deciphering Exadata metric names:\n\n\nThe value of the name attribute is a composite of abbreviations. The attribute value starts with an abbreviation of the object type on which the metric is defined:\n\n```\nCD_ (cell disk)\nCG_ (IORM consumer group, database-qualified)\nCL_ (cell)\nCT_ (IORM category)\nDB_ (IORM database-level)\nFC_ (flash cache)\nFL_ (flash log)\nGD_ (grid disk)\nIORM (Input Output Resource Management)\nN_ (network, IBPORT, HOST_INTERCONNECT)\nPDB_ (IORM pluggable database)\nSIO_ (Smart IO)\n```\n\nAfter the abbreviation of the object type, most of the name attributes contain one of the following combinations to identify the operation:\n\n```\nIO_BY (I/O amount)\nIO_RQ (number of I/O requests)\nIO_TM (I/O latency)\nIO_WT (I/O wait time)\nFC_IO_BY (Flash cache I/O amount)\nFC_IO_RQ (Flash cache I/O requests)\nFD_IO_BY (Flash disk I/O amount)\nFD_IO_RQ (Flash disk I/O requests)\nFD_IO_TM (Flash disk latency)\nFD_IO_UTIL (Flash disk utilization percentage)\n```\n\nNext, in the name could be\n\n```\n_R (for read) or \n_W (for write). \n```\n\nFollowing that in the name attribute value there might be\n\n```\n_SM or _LG to identify small or\n_LG to identify large blocks, respectively. \n```\n\nAt the end of the name, there could be\n\n```\n_SEC to signify per seconds or \n_RQ to signify per request.\n```\n\nFor consumer group and category metrics, read or write details are omitted.\n\nFor example:\nCD_IO_RQ_R_SM is the number of requests to read small blocks on a cell disk.\nGD_IO_TM_W_LG is the microseconds of I/O latency writing large blocks on a grid disk.\n\nSource: [Exadata Database Machine User's Guide](https://docs.oracle.com/en/engineered-systems/exadata-database-machine/sagug/describe-metricdefinition.html) section DESCRIBE METRICDEFINITION.\n\n### Q: Do I have to configure metric stream on all DB servers and Cell servers, or one of them is enough?\n\nA: You need to configure metric streams on each Exadata server you intend to monitor. Use DBMCLI utility on DB servers. Use CELLCLI utility on cell servers. Or use utilities designed to run administration commands across a number of servers (dcli, exadcli) - see [Exadata Software Overview]( https://docs.oracle.com/en/engineered-systems/exadata-database-machine/sagug/exadata-software-overview.html ).\n\n### Q: How to set up and verify on the Exadata side that metrics are available?\n\nA: Metrics must be enabled for Real-Time Insight on the Exadata side. Most likely, metrics are enabled by default on your Exadata system. If they are not, enable metrics for Real-Time Insight with the command:\n`alter metricdefinition finegrained=enabled where finegrained=disable`\nYou can check what metrics are enabled using command:\n`list metricdefinition where finegrained=enabled detail`\nThe command returns a detailed list of metrics that are enabled for Real-Time Insight.\n\n### Q: What is the DDU Consumption of this extension?\n\nA: The formula for DDU consumption of the extension is:\n\n```\n( ( 19 * the number of servers )\n+ ( 10 * the number of servers * the number of disks on the server )\n+ ( 6 * the number of servers * the number of network interfaces on the server )\n+ ( 12 * the number of database servers )\n+ ( 1 * the number of database servers * the number of file systems on the DB server )\n+ ( 1 * the number of cell servers * the number of file systems on the cell server )\n+ ( 25 * the number of cell servers * the number of disks on the cell server )\n+ ( 99 * the number of cell servers )\n+ ( 16 * the number of cell servers * the number of databases on the cell server )\n+ ( 16 * the number of cell servers * the number of pluggable databases on the cell server )\n+ ( 5 * the number of cell servers * the number of DB/PDB * the number of consumer groups on the DB/PDB )\n+ ( 2 * the number of category plans * the number of cell servers )\n+ ( 2 * the number of IP addresses in queue )\n+ ( 7 * the number of servers * (4 * the number of ROCE interfaces on the server) )\n+ ( 6 * the number of cell servers * (2 * the number of cell disks on the cell server) )\n)* 525.6 DDUs/year\n```\n\nNote that this accounts for all extension feature sets enabled, i.e. all possible metrics collected. In case of license consumption concerns, you may disable optional feature sets.\n\nDDU cost above does not include any possible Log events or Custom events triggered by the extension. For more information on this, please visit the [DDU log event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/log-monitoring-consumption) and [DDU custom event cost](https://www.dynatrace.com/support/help/manage/subscriptions-and-licensing/monitoring-consumption-classic/davis-data-units/ddu-events) pages."
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"source": "With the SaaS Upgrade Assistant, most of the configuration and dashboards of a Managed environment can be migrated automatically to a SaaS environment. You can simply export the configuration and dashboards from your Managed environment, upload it to the SaaS Upgrade Assistant on the target SaaS environment, and get started.\n\n* Check on your import progress via the upgrade status tracking.\n* Browse imported configurations and review failed configurations.\n* Correct failed configurations with an edit form or use bulk mode to update at once.\n* Leverage preview changes to make sure the update is correct."
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"source": "* A cluster administrator can use the SaaS Upgrade Assistant to navigate through a frictionless upgrade from their Dynatrace Managed on-premises deployment to a SaaS environment.\n\n* The app reduces the complexity of migrating Dynatrace configurations by automating the process. A configuration can be exported from any Managed environment, imported into the target SaaS environment, and then updated to align with the SaaS environment's requirements. \n\n* The app ensures a faster migration and minimizes disruption to Dynatrace users by incorrect environment configuration. Automation eliminates time-consuming manual tasks, such as updating dashboard ownership or adjusting entity IDs that have changed between environments."
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"source": "#### How do you export the configuration from Dynatrace Managed?\n1. Sign in to the Dynatrace Managed Cluster Management Console.\n2. Navigate to **Environments** page.\n4. Select an environment that you want to migrate from. \n5. Select the **Export Configuration** button.\n3. Confirm the operation and navigate to your target local directory to store the archive.\n\n#### How can I start the configuration migration process?\n1. Open the SaaS Upgrade Assistant to migrate from Dynatrace Managed to the SaaS environment.\n2. Select the **Upload data** button to import the configuration of Dynatrace Managed environment.\n3. Open the **Settings** right panel by clicking a cog icon.\n4. Select the **Create token** to auto-generate an authorization token or provide the one you created.\n5. Select **Save**.\n6. Now you're ready to deploy your configuration - select the **Start upgrade** button.\n\n#### How do you set up SaaS Upgrade Assistant permissions?\nTo authorize users to use the app, a user has to be assigned to the `upgrade-assistant:environments:write` policy. To add IAM policy, follow the steps below:\n\n1. Go to Account Management service: https://myaccount.dynatrace.com/accounts.\n2. Select your account.\n3. From the **Identity & Access Management** Dynatrace menu, select **Policies**.\n4. Select the **Create Policy** button.\n5. Fill in the details of the IAM policy by setting the Policy statement to `ALLOW upgrade-assistant:environments:write;`.\n6. Select **Create policy** and confirm.\n7. Bind the IAM policy to a group. For example, to \"Deployment admin\"."
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"source": "We recommend working on a configuration exported from the same major version of the Dynatrace Managed cluster and SaaS environment to avoid unnecessary false-positive failed configuration migrations. For example, your Dynatrace Managed cluster should be in version 1.284.123, and your SaaS environment should be in 1.284.89."
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"seo_description": "Migrate your Dynatrace Managed environment configuration to SaaS. Start your free trial today!",
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"about": "With the SaaS Upgrade Assistant, most of the configuration and dashboards of a Managed environment can be migrated automatically to a SaaS environment. You can simply export the configuration and dashboards from your Managed environment, upload it to the SaaS Upgrade Assistant on the target SaaS environment, and get started.\n\n* Check on your import progress via the upgrade status tracking.\n* Browse imported configurations and review failed configurations.\n* Correct failed configurations with an edit form or use bulk mode to update at once.\n* Leverage preview changes to make sure the update is correct.",
"use_cases": "* A cluster administrator can use the SaaS Upgrade Assistant to navigate through a frictionless upgrade from their Dynatrace Managed on-premises deployment to a SaaS environment.\n\n* The app reduces the complexity of migrating Dynatrace configurations by automating the process. A configuration can be exported from any Managed environment, imported into the target SaaS environment, and then updated to align with the SaaS environment's requirements. \n\n* The app ensures a faster migration and minimizes disruption to Dynatrace users by incorrect environment configuration. Automation eliminates time-consuming manual tasks, such as updating dashboard ownership or adjusting entity IDs that have changed between environments.",
"supported_distributions": "We recommend working on a configuration exported from the same major version of the Dynatrace Managed cluster and SaaS environment to avoid unnecessary false-positive failed configuration migrations. For example, your Dynatrace Managed cluster should be in version 1.284.123, and your SaaS environment should be in 1.284.89.",
"get_started": "#### How do you export the configuration from Dynatrace Managed?\n1. Sign in to the Dynatrace Managed Cluster Management Console.\n2. Navigate to **Environments** page.\n4. Select an environment that you want to migrate from. \n5. Select the **Export Configuration** button.\n3. Confirm the operation and navigate to your target local directory to store the archive.\n\n#### How can I start the configuration migration process?\n1. Open the SaaS Upgrade Assistant to migrate from Dynatrace Managed to the SaaS environment.\n2. Select the **Upload data** button to import the configuration of Dynatrace Managed environment.\n3. Open the **Settings** right panel by clicking a cog icon.\n4. Select the **Create token** to auto-generate an authorization token or provide the one you created.\n5. Select **Save**.\n6. Now you're ready to deploy your configuration - select the **Start upgrade** button.\n\n#### How do you set up SaaS Upgrade Assistant permissions?\nTo authorize users to use the app, a user has to be assigned to the `upgrade-assistant:environments:write` policy. To add IAM policy, follow the steps below:\n\n1. Go to Account Management service: https://myaccount.dynatrace.com/accounts.\n2. Select your account.\n3. From the **Identity & Access Management** Dynatrace menu, select **Policies**.\n4. Select the **Create Policy** button.\n5. Fill in the details of the IAM policy by setting the Policy statement to `ALLOW upgrade-assistant:environments:write;`.\n6. Select **Create policy** and confirm.\n7. Bind the IAM policy to a group. For example, to \"Deployment admin\"."
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"release_notes": "### 1.3.3\n\n#### Full edit mode\nThe new edit mode enables you to modify a configuration object fully. You can edit the JSON payload and manage its related metadata, such as name, dependencies, scope, and regular properties. With the help of this tool and the in-app guide, you can solve the problem of cyclic dependencies much more easily. You can also revert mistakenly saved changes.",
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"release_notes": "### 1.2.3\n- The URL path now includes the selected tab, config type, and config ID, which enable the use of browser history and navigation.\n- Added the buttons to \"force exclude\" a single configuration or all cyclic dependencies.\n- Added an option to filter configurations by problems (missing dashboard owner or cyclic dependencies).\n- The bulk edit panel now includes an option to find configurations containing the selected property value.\n- The dashboard name is now displayed with the owner.\n- Replaced the list of config dependencies with a table.\n- Improved message when the token fails to be created because of missing permissions.\n- Replace absolute links to other environment dashboards with new environment values in dashboard markdown tiles.\n- Differentiate between direct and indirect referencing configurations.\n- Extract user IDs from dashboard-share-settings as owner properties.\n- Extract more meaningful names of the configurations.",
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"release_notes": "### 1.1.0\n\n### Dashboard migration\nNew workflow for automated migration of dashboard owners (Managed user IDs) with validation steps:\n- Dashboard owners are automatically validated against your target SaaS environment.\n- Invalid or incomplete dashboard owners are visually highlighted in the app.\n- You can edit invalid dashboard owners directly in the app and preview the changes.\n- You can supplement incomplete dashboard owners with a predefined email domain.\n### Further enhancements\n- Added instructions for exporting configuration from a Managed environment.\n- Introduced a step-by-step process for the deployment workflow.\n- Added information about skipped configurations to the deployment workflow.\n- Added a warning if the permission upgrade-assistant:environments:write is not present.\n- Improved configuration object list usability by highlighting selected objects.",
"created": "2024-10-21T07:02:06.792054Z"
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"release_notes": "### 1.0.4\n\n- Cyclic dependencies no longer block deployment if affected configurations are excluded.\n- Configurations with cyclic dependencies are now marked with red tags on the dependency list.\n- Improved the navigation sidebar by showing the selected page.\n- Moved the Settings sidebar to a separate page and improved the token section.\n- Extended the source environments table to indicate whether user mapping exists.\n- Changed the color and icon of all 'Skipping' statuses and messages from critical to warning.\n- Fixed the problem of a disabled Upload button when data loading failed.",
"created": "2024-09-05T07:48:01.817415Z"
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"fqn": "dynatrace.saas.upgrade.assistant",
"version": "1.0.2",
"artifact": null,
"release_notes": "### 1.0.2\n\n- Added an option to review export issues of configuration packages.\n- Improved displayed information and guidance in case of issues related to cyclic dependencies between configurations.\n- The \"Upload\" button is now disabled when data preparation is in progress in any environment.",
"created": "2024-08-01T08:19:36.065054Z"
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"fqn": "dynatrace.saas.upgrade.assistant",
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"release_notes": "## 1.0.1\n- A shortcut button was added to the Last deployment panel to review errors from the last deployment.\n- Improved the data refresh rate of the environments overview table.\n- Config types with any failed objects are now marked with icons.\n- The \"Include all\" and \"Exclude all\" buttons are now in the main configurations panel, separately for \"filtered\" and \"all\" configurations.\n- Introduced resizing of config tree container.\n- A new step (\"preparation\" before \"loading\" configurations) was added to the deployment progress bar.\n- When editing properties, there's now an option (checkbox) to automatically include changed configs in the next deployment (both in bulk edit and single edit).\n- The option to filter config by including the following deploy status was added.\n- Added toast messages about included or excluded dependencies.\n- Improved config preview section by splitting it into four tabs.\n- Proper ordering of Settings 2.0 configurations.\n\n## 1.0.0\n#### More control over the imported configuration\nWe're introducing the smart Selective Import functionality to support the \"Waved\" approach of SaaS Upgrade and give you more control over what configurations you'd like to migrate to your SaaS environment.\n\nYou can now prepare a custom selection of configurations to be deployed to the SaaS environment. You can include or exclude configurations by configuration type or individual configuration objects. The smart Selective Import automatically adds or removes depending configurations to ensure the deployment set has all it needs. Moreover, a new bar chart shows the number of included configurations.\n\nAdditionally, we've improved the design of deploy summary charts by creating a separate panel for the last deployment and the overall summary. \n\n#### More automatically migrated configurations\nWe've added more configurations that can be automatically imported to the SaaS environment to reduce the overall manual effort in SaaS Upgrade. The app is now compatible with Monaco 2.14.1, additionally supporting the following configurations:\n- Key User Actions for Web and Mobile Applications\n- User Actions And Session Properties for Mobile Applications\n- Dashboard Share settings for classic Dashboards\n- Network zones\n- Service request attributes\n\nTo support those configurations, the required token's scope was extended to \"Read network zones\", \"Write network zones\", and \"Capture request data\".\n \n#### Faster and more responsive application \nWe've redesigned the configuration details navigation into the tree menu with breadcrumbs. With additional performance improvements, the app can support any configuration size, allowing you to migrate your most enormous environments successfully. \n\n#### Better progress tracking to keep you more productive\nYou can now easily see what configurations you need to migrate with the new configuration breakdown chart, separate status charts for the last deployment, and overall summary.\n\n#### Error reporting - pretty print, full page mode, original value, dependencies\nFeeling lost? When facing challenges migrating the configuration, you can read the error message JSON in full-page mode. When you need to update the configuration property's value, we persist the original value so you can revert whenever required. Additionally, on the dedicated tab, you can see configuration dependencies. \n\n#### Signature verification\nAn uploaded configuration archive is now verified with a signature. If the archive was manually modified, a warning toast and a warning message are displayed per affected environment.",
"created": "2024-06-25T08:23:04.668581Z"
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"release_notes": "### 0.8.2\n* The Hex/Dev converter for ActiveGate ID values was fixed for bulk and single edit modes.\n* The app no longer shows duplicate notifications and toasts.\n* The change preview overlay now supports dark theme appearance mode.\n* The source environments page shows when a configuration was exported and when it was imported with the upgrade duration.\n* Additional filters for the errors table were added.\n* ActiveGate ID value can now be displayed in HEX format in the single and bulk edit panel to make it consistent with the Deployment Status page.\n* Config object naming and formatting were improved for consistency\n\n### 0.7.0\nThe first production release of the SaaS Upgrade Assistant by Dynatrace includes the following main functionalities:\nCurrently, with SaaS Upgrade Assistant, you can:\n* Easily import configuration with a single select\n* Track configuration migration progress\n* Browse imported configurations and review failed configurations marked in red\n* Troubleshoot failed and skipped configurations with ease thanks to error messages\n* Fix a single configuration with an edit form or use bulk mode to update 100s of configurations at a time. You can leverage preview changes to make sure the update is correct.",
"created": "2024-03-05T15:37:31.186736Z"
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"release_notes": "### 0.7.0\n\nThe first production release of the SaaS Upgrade Assistant by Dynatrace includes the following main functionalities:\n\nCurrently, with SaaS Upgrade Assistant you can:\n\n- Easily import configuration with a single click\n- Track configuration migration progress\n- Browse imported configurations and review failed configurations marked in red\n- Troubleshoot failed and skipped configurations with ease thanks to error messages\n- Fix a single configuration with an edit form or use bulk mode to update 100s of configurations at a time. You can leverage preview changes to make sure the update is correct.",
"created": "2024-01-25T08:46:19.714859Z"
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"source": "The extension comes with two pre-defined dashboards containing the following sections:\n* **Extensions health**\n - **Extension configuration overview** - the honeycomb graph presents the percentage of error states for all configurations per extension for a given timeframe. All the configuration states except for `OK` and `IDLE` are classified as errors. **Most common errors** shows the most common error states. You can find detailed information about the latest error using the **Configuration log events** section.\n - **Extension Execution Controller errors** - detailed information about issues detected in EEC \n - **Extension Resource Consumption** -the amount of CPU and memory consumed by all Extensions 2.0 framework processes on the host.\n* **Extensions usage** - a detailed overview of data points created by extensions with device breakdown.\n\n**Note**: After creating the monitoring configuration for chosen extension, in the configurations table there will be showing a magnifying glass (look at the last screenshot) that enables go to the Unified Analysis screen for this monitoring configuration.\n\n## Limitations\n\n* Endpoints monitoring is currently supported by SNMP, WMI, and PROMETHEUS.\n* All monitoring configurations in the extension have to use at least version 1.269 ActiveGate and OneAgent to show proper health state for endpoints."
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"source": "[Adobe Experience Manager (AEM) as a Cloud Service](https://experienceleague.adobe.com/docs/experience-manager-cloud-service/content/overview/introduction.html) is the latest offering of the AEM product line, helping you to provide personalized content-led experiences. Dynatrace can deliver real-time precise answers to accelerate time to value and meet your business requirements.\n\nDynatrace automatically detects all your AEM applications and visualizes their dependencies from the website to the container to the cloud service. Intertwined with end-to-end traces across every tier and Real User Monitoring, take your AEM content-led experiences to the next level without gaps or blind spots. If any anomalies arise, Dynatrace diagnoses them in real-time with Davis AI and pinpoints the root cause down to the broken code before your customers are affected, thereby minimizing the mean time to repair.\n\nThe partnership between Adobe and Dynatrace enables seamless observability for all your AEM Cloud Service applications."
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"source": "* Optimize your content-led experiences with continuous insights into your AEM applications.\n* Capture business-critical requests and user actions across tiers without blind spots.\n* Gain insight into the behavior of your users with experience ratings, geolocation breakdowns, and much more.\n* Detect availability and performance problems across your stack proactively.\n* Troubleshoot anomalies down to a single line of code."
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"metadata": {
"unit": "Count",
"description": "Number of queries canceled due to conflicts with recovery in this database",
"displayName": "Queries canceled due to conflict"
}
},
{
"key": "postgres.temp_files.count",
"metadata": {
"unit": "Count",
"description": "Number of temporary files created by queries in this database",
"displayName": "Temporary files created"
}
},
{
"key": "postgres.temp_bytes.count",
"metadata": {
"unit": "Byte",
"description": "Total amount of data written to temporary files by queries in this database",
"displayName": "Data written to temporary files"
}
},
{
"key": "postgres.deadlocks.count",
"metadata": {
"unit": "Count",
"description": "Number of deadlocks detected in this database",
"displayName": "Deadlocks"
}
},
{
"key": "postgres.blk_read_time.count",
"metadata": {
"unit": "MilliSecond",
"description": "Time spent reading data file blocks by backends in this database",
"displayName": "Data file blocks reading time"
}
},
{
"key": "postgres.blk_write_time.count",
"metadata": {
"unit": "MilliSecond",
"description": "Time spent writing data file blocks by backends in this database",
"displayName": "Data file blocks writing time"
}
},
{
"key": "postgres.checksum_failures.count",
"metadata": {
"unit": "Count",
"description": "Number of data page checksum failures detected in this database",
"displayName": "Data page checksum failures"
}
},
{
"key": "postgres.session_time.count",
"metadata": {
"unit": "MilliSecond",
"description": "Time spent by database sessions in this database",
"displayName": "Time spent by sessions"
}
},
{
"key": "postgres.active_time.count",
"metadata": {
"unit": "MilliSecond",
"description": "Time spent executing SQL statements in this database",
"displayName": "Time spent executing SQL statements"
}
},
{
"key": "postgres.idle_in_transaction_time.count",
"metadata": {
"unit": "MilliSecond",
"description": "Time spent idling while in a transaction in this database",
"displayName": "Time spent idling"
}
},
{
"key": "postgres.sessions.count",
"metadata": {
"unit": "Count",
"description": "Total number of sessions established",
"displayName": "Established sessions"
}
},
{
"key": "postgres.sessions_abandoned.count",
"metadata": {
"unit": "Count",
"description": "Number of database sessions to this database that were terminated because connection to the client was lost",
"displayName": "Abandoned sessions"
}
},
{
"key": "postgres.sessions_fatal.count",
"metadata": {
"unit": "Count",
"description": "Number of database sessions to this database that were terminated by fatal errors",
"displayName": "Fatal error terminated sessions"
}
},
{
"key": "postgres.sessions_killed.count",
"metadata": {
"unit": "Count",
"description": "Number of database sessions to this database that were terminated by operator intervention",
"displayName": "Killed sessions"
}
}
]
},
"Tablespaces": {
"metrics": [
{
"key": "postgres.tablespace.size",
"metadata": {
"unit": "Byte",
"description": "Tablespace size in bytes",
"displayName": "Tablespace size"
}
}
]
},
"Background Writer": {
"metrics": [
{
"key": "postgres.checkpoints_timed.count",
"metadata": {
"unit": "Count",
"description": "Number of scheduled checkpoints that have been performed",
"displayName": "Scheduled checkpoints performed"
}
},
{
"key": "postgres.checkpoints_req.count",
"metadata": {
"unit": "Count",
"description": "Number of requested checkpoints that have been performed",
"displayName": "Requested checkpoints performed"
}
},
{
"key": "postgres.checkpoint_write_time.count",
"metadata": {
"unit": "MilliSecond",
"description": "Total amount of time that has been spent in the portion of checkpoint processing where files are written to disk",
"displayName": "Checkpoints write time"
}
},
{
"key": "postgres.checkpoint_sync_time.count",
"metadata": {
"unit": "MilliSecond",
"description": "Total amount of time that has been spent in the portion of checkpoint processing where files are synchronized to disk",
"displayName": "Checkpoint sync time"
}
},
{
"key": "postgres.buffers_checkpoint.count",
"metadata": {
"unit": "Count",
"description": "Number of buffers written during checkpoints",
"displayName": "Buffers written during checkpoints"
}
},
{
"key": "postgres.buffers_clean.count",
"metadata": {
"unit": "Count",
"description": "Number of buffers written by the background writer",
"displayName": "Buffers written by background writer"
}
},
{
"key": "postgres.maxwritten_clean.count",
"metadata": {
"unit": "Count",
"description": "Number of times the background writer stopped a cleaning scan because it had written too many buffers",
"displayName": "Cleaning scan stops"
}
},
{
"key": "postgres.buffers_backend.count",
"metadata": {
"unit": "Count",
"description": "Number of buffers written directly by a backend",
"displayName": "Buffers written by backend"
}
},
{
"key": "postgres.buffers_backend_fsync.count",
"metadata": {
"unit": "Count",
"description": "Number of times a backend had to execute its own fsync call",
"displayName": "Backend fsync executions"
}
},
{
"key": "postgres.buffers_alloc.count",
"metadata": {
"unit": "Count",
"description": "Number of buffers allocated",
"displayName": "Buffers allocated"
}
}
]
}
},
"minDynatraceVersion": "1.301.0"
},
"content": [
{
"type": "markdown",
"properties": {
"title": "Overview",
"source": "PostgresSQL monitoring solution is based on a remote monitoring approach implemented as a Dynatrace ActiveGate extension. The extension queries Postgres databases for key performance and health. Dynatrace's DAVIS AI then analyzes these metrics to provide anomaly and problem analysis."
},
"sourceId": "about"
},
{
"type": "markdown",
"properties": {
"title": "Use cases",
"source": "- Monitor the health state and performance of their PostgreSQL setup.\n- Detect anomalies and alert on them.\n- Take pre-emptive measures to avoid service degradations."
},
"sourceId": "use_cases"
},
{
"type": "markdown",
"properties": {
"title": "Get started",
"source": "### Activation\n\n**Steps to activate remote monitoring** (version 1.255+):\n* Activate Extension in the Hub by going to:\n* Manage → Dynatrace Hub → PostgreSQL (remote monitoring) → Add to environment\n* Add new monitoring configuration\n\n### Permissions\n\nCreate a database user using the following template:\n\n```sql\nCREATE USER dynatrace WITH PASSWORD '<PASSWORD>' INHERIT; \nGRANT pg_monitor TO dynatrace;\n```\n\n### Requirements\n \nThere must be connectivity between the ActiveGate, where the extension is deployed, and the Postgres database.\n\nFor top query monitoring to work, the `pg_stat_statements` table needs to be available. This has to be done at the database level [as per the official docs](https://www.postgresql.org/docs/current/pgstatstatements.html#PGSTATSTATEMENTS). Ensure also that you have [log monitoring enabled](https://www.dynatrace.com/support/help/shortlink/log-monitoring-hub-v2).\n\n### Top query monitoring\n\nIf both Dynatrace log monitoring is enabled and the `pg_stat_statements` table is available, Dynatrace will ingest the top 100 queries (sorted by total execution time) every 5 minutes and store them as logs. These logs are available either from the database instance screen or on the Databases App, under \"Top queries by total execution time\". To filter by these queries on a dashboard or notebook, one can filter by `dt.extension.name = com.dynatrace.extension.postgres` and `event.group = top_queries`. See below a DQL query example:\n\n```\nfetch logs\n| filter dt.extension.name==\"com.dynatrace.extension.postgres\" and event.group==\"top_queries\"\n| sort total_exec_time desc\n```\n\nNote also that the planning time information for these queries requires `pg_stat_statements.track_planning` to be enabled.\n\nRegardless of whether `pg_stat_statements` is available or not, Dynatrace will still collected queries from `pg_stat_activity` as part of the `Queries` feature set, which are similarly ingested as logs with `event.group = longest_queries`.\n\n### Execution plan details\n\nFor SaaS users who have access to the Databases app and who have top query monitoring enabled (see previous section), fetching execution plans for these queries is now possible. This can be done from the Databases app, under `Statement performance`, by clicking `Request` on the execution plan for a specific query.\n\nFor that `query`, the extension will then attempt to execute the following:\n```\nSELECT * from dynatrace.dynatrace_execution_plan({query})\n```\nand then ingest into Dynatrace the first row of the column named `explain`. These execution plans are ingested as logs with `event.group = execution_plans`.\n\nFor security reasons which prevent the extension from directly executing anything other than a `SELECT` command, the `dynatrace_execution_plan` function has to be defined beforehand at the database level as follows:\n\n```\nCREATE OR REPLACE FUNCTION dynatrace.dynatrace_execution_plan(\n query text,\n OUT explain JSON\n) RETURNS SETOF JSON\n LANGUAGE plpgsql\n VOLATILE\n RETURNS NULL ON NULL INPUT\n SECURITY DEFINER\n ROWS 1\n SET plan_cache_mode = force_generic_plan\nAS\n$$DECLARE\n arg_count integer;\n open_paren text;\n close_paren text;\n explain_cmd text;\n json_result json;\nBEGIN\n\n\t/* reject statements containing a semicolon in the middle */\n IF pg_catalog.strpos(\n pg_catalog.rtrim(dynatrace_execution_plan.query, ';'),\n ';'\n ) OPERATOR(pg_catalog.>) 0 THEN\n RAISE EXCEPTION 'query string must not contain a semicolon';\n END IF;\n\n /* get the parameter count */\n SELECT count(*) INTO arg_count\n FROM pg_catalog.regexp_matches( /* extract the \"$n\" */\n pg_catalog.regexp_replace( /* remove single quoted strings */\n dynatrace_execution_plan.query,\n '''[^'']*''',\n '',\n 'g'\n ),\n '\\$\\d{1,}',\n 'g'\n );\n\n IF arg_count OPERATOR(pg_catalog.=) 0 THEN\n open_paren := '';\n close_paren := '';\n ELSE\n open_paren := '(';\n close_paren := ')';\n END IF;\n\n /* construct a prepared statement */\n EXECUTE\n pg_catalog.concat(\n 'PREPARE _stmt_',\n open_paren,\n pg_catalog.rtrim(\n pg_catalog.repeat('unknown,', arg_count),\n ','\n ),\n close_paren,\n ' AS ',\n dynatrace_execution_plan.query\n );\n\n /* construct an EXPLAIN statement */\n explain_cmd :=\n pg_catalog.concat(\n 'EXPLAIN (FORMAT JSON, ANALYZE FALSE) EXECUTE _stmt_',\n open_paren,\n pg_catalog.rtrim(\n pg_catalog.repeat('NULL,', arg_count),\n ','\n ),\n close_paren\n );\n\n /* get and return the plan */\n EXECUTE explain_cmd INTO json_result;\n RETURN QUERY SELECT json_result;\n\n /* delete the prepared statement */\n DEALLOCATE _stmt_;\nEND;$$;\n```\n\nNotice that the function above is defined with `SECURITY DEFINER`, meaning it executes with the privileges of the user who defined it, not the one executing it. This is due to the fact that the permissions required to `EXPLAIN` a query are the same as the one required to run that query, meaning that the user with which this function is defined needs to have a sufficient priveliges to run `PREPARE` and `EXPLAIN` on the queries it will be explaining. As such, for full functionality ensure that the function is defined with the appropriate user.\n\nNote also that due to the requirement to `PREPARE` the statements, explain plans can only be fetched from the database the extension is directly connected to.\n\nAs with any function of this type, we recommend thorough testing before rolling out across big environments.\n\n#### Troubleshooting execution plan monitoring\n\nIf after a couple of minutes the execution plans are not showing up when you press to fetch the plan, one of two things might be happening: either the `EXPLAIN` query is failing or the ingestion into Dynatrace is causing trouble.\n\nFirst, to check whether the logs are being brought into Dynatrace at all or if the problem is related to the Databases app open a Notebook and query:\n```\nfetch logs\n| filter event.group==\"execution_plans\" and dt.extension.name==\"com.dynatrace.extension.postgres\" and sql_id==\"<Statement ID>\"\n| sort timestamp desc\n```\nIf there are logs showing up for the desired time frame this means that execution plan fetching is happening as normal but the Databases app is not picking them up. In this case, please contact Dynatrace support.\n\nIf the logs have content `Couldn't obtain an execution plan. No execution plan was found.`, the next step would be to check the ActiveGate datasource logs from a support archive at `<support_archive>/remoteplugin/log/extensions/datasources/com.dynatrace.extension.postgres/dynatracesourcesql.jar.log` for more details around the error. In tandem with this, it can be helpful to log into the database with the same user which is configured in the Dynatrace extension monitoring configuration and attempt to run\n```\nSELECT * from dynatrace.dynatrace_execution_plan({query})\n```\nfor the problematic `query`.\n\nIf the error relates to permissions, please ensure that the function was defined with the right user (see above). Note also that some queries cannot be explained (for example `SET` or `EXPLAIN` queries) so failure for those is expected.\n\nIf you believe that the `EXPLAIN` should have succeeded, please contact Dynatrace support."
},
"sourceId": "get_started"
},
{
"type": "markdown",
"properties": {
"title": "Compatibility information",
"source": "The extension is designed to work with PostgreSQL version 11 and later."
},
"sourceId": "supported_distributions"
},
{
"type": "markdown",
"properties": {
"title": "Licensing",
"source": "The metrics collected through this extension consume Dynatrace Davis Data Units (see [DDUs for metrics](https://docs.dynatrace.com/docs/shortlink/metric-cost-calculation)).\n\nA rough estimation of the amount of DDUs consumed by metric ingest can be obtained through the following formula:\n\n```\n( (11 * number of instances)\n+ (29 * number of databases)\n+ (1 * number of tablespaces)\n) * 525.6 DDUs/year\n```\n\nFor logs, regular DDU consumption for log monitoring applies. Depending on your licensing model, refer either to [DDU consumption for Log Management and Analytics](https://docs.dynatrace.com/docs/shortlink/calculate-log-management-consumption) or [DDUs for Log Monitoring Classic](https://docs.dynatrace.com/docs/shortlink/calculate-log-consumption).\n\nIf your license consists of Custom Metrics. Each custom metric is equivalent to 525.6 DDUs/yr\nPlease see documentation [Metric Cost Calculation](https://docs.dynatrace.com/docs/manage/monitoring-consumption-classic/davis-data-units/metric-cost-calculation/ddu-migration)"
},
"sourceId": "blocks_0"
},
{
"type": "markdown",
"properties": {
"title": "FAQ",
"source": "#### How does this Dynatrace extension collect data from my databases?\n\nThis extension will run from your Dynatrace ActiveGates and connect to the configured databases. Once the connection has been established, the extension will regularly run queries on the database to gather performance and health metrics, reporting the results back to Dynatrace.\n\nOnly `SELECT` queries are executed to collect data. To see exactly which queries are executed, please download the extension `yaml` artifact by going to [Release notes](https://www.dynatrace.com/hub/detail/postgresdb-remote-monitoring/?query=postgres&filter=all), opening a release and pressing the `Download version` button.\n\n#### How often are these monitoring queries executed?\n\nFrom version `2.3.0` onwards, query execution frequency is controlled by the configuration variables `query-interval` and `heavy-query-interval`. Most of the queries executed by the extension will run every `query-interval` minutes (with a default of 1 minute), while the queries under the `Queries` feature set will run every `heavy-query-interval` minutes (with a default of 5 minutes).\n\nFor older versions, most queries run every minute, with exceptions for the heavy queries mentioned above, which run every 5 minutes.\n\n#### Why are some of the extension's queries failing?\n\nIn order to support a wide range of Postgres versions we need to have several versions of the same queries running at the same time, since over time Postgres has changed column names for several tables. As such, it is expected for some queries to fail, but as long as there is no missing data, there is no cause for concern."
},
"sourceId": "blocks_1"
}
],
"modified": "2025-01-30T10:09:11.229637Z",
"created": "2023-05-02T16:33:59.398811Z",
"seo_title": "PostgreSQL monitoring & observability",
"seo_description": "Monitor your Postgres performance via our new EF2.0 extension framework. Start your free trial today!",
"customer_story": null,
"marketing_related_content": [],
"screenshots": [
"https://dt-cdn.net/hub/postgres-database_A2Gcfk2.png",
"https://dt-cdn.net/hub/postgres-instance_sXSosce.png"
],
"about": "PostgresSQL monitoring solution is based on a remote monitoring approach implemented as a Dynatrace ActiveGate extension. The extension queries Postgres databases for key performance and health. Dynatrace's DAVIS AI then analyzes these metrics to provide anomaly and problem analysis.",
"use_cases": "- Monitor the health state and performance of their PostgreSQL setup.\n- Detect anomalies and alert on them.\n- Take pre-emptive measures to avoid service degradations.",
"supported_distributions": "The extension is designed to work with PostgreSQL version 11 and later.",
"get_started": "### Activation\n\n**Steps to activate remote monitoring** (version 1.255+):\n* Activate Extension in the Hub by going to:\n* Manage → Dynatrace Hub → PostgreSQL (remote monitoring) → Add to environment\n* Add new monitoring configuration\n\n### Permissions\n\nCreate a database user using the following template:\n\n```sql\nCREATE USER dynatrace WITH PASSWORD '<PASSWORD>' INHERIT; \nGRANT pg_monitor TO dynatrace;\n```\n\n### Requirements\n \nThere must be connectivity between the ActiveGate, where the extension is deployed, and the Postgres database.\n\nFor top query monitoring to work, the `pg_stat_statements` table needs to be available. This has to be done at the database level [as per the official docs](https://www.postgresql.org/docs/current/pgstatstatements.html#PGSTATSTATEMENTS). Ensure also that you have [log monitoring enabled](https://www.dynatrace.com/support/help/shortlink/log-monitoring-hub-v2).\n\n### Top query monitoring\n\nIf both Dynatrace log monitoring is enabled and the `pg_stat_statements` table is available, Dynatrace will ingest the top 100 queries (sorted by total execution time) every 5 minutes and store them as logs. These logs are available either from the database instance screen or on the Databases App, under \"Top queries by total execution time\". To filter by these queries on a dashboard or notebook, one can filter by `dt.extension.name = com.dynatrace.extension.postgres` and `event.group = top_queries`. See below a DQL query example:\n\n```\nfetch logs\n| filter dt.extension.name==\"com.dynatrace.extension.postgres\" and event.group==\"top_queries\"\n| sort total_exec_time desc\n```\n\nNote also that the planning time information for these queries requires `pg_stat_statements.track_planning` to be enabled.\n\nRegardless of whether `pg_stat_statements` is available or not, Dynatrace will still collected queries from `pg_stat_activity` as part of the `Queries` feature set, which are similarly ingested as logs with `event.group = longest_queries`.\n\n### Execution plan details\n\nFor SaaS users who have access to the Databases app and who have top query monitoring enabled (see previous section), fetching execution plans for these queries is now possible. This can be done from the Databases app, under `Statement performance`, by clicking `Request` on the execution plan for a specific query.\n\nFor that `query`, the extension will then attempt to execute the following:\n```\nSELECT * from dynatrace.dynatrace_execution_plan({query})\n```\nand then ingest into Dynatrace the first row of the column named `explain`. These execution plans are ingested as logs with `event.group = execution_plans`.\n\nFor security reasons which prevent the extension from directly executing anything other than a `SELECT` command, the `dynatrace_execution_plan` function has to be defined beforehand at the database level as follows:\n\n```\nCREATE OR REPLACE FUNCTION dynatrace.dynatrace_execution_plan(\n query text,\n OUT explain JSON\n) RETURNS SETOF JSON\n LANGUAGE plpgsql\n VOLATILE\n RETURNS NULL ON NULL INPUT\n SECURITY DEFINER\n ROWS 1\n SET plan_cache_mode = force_generic_plan\nAS\n$$DECLARE\n arg_count integer;\n open_paren text;\n close_paren text;\n explain_cmd text;\n json_result json;\nBEGIN\n\n\t/* reject statements containing a semicolon in the middle */\n IF pg_catalog.strpos(\n pg_catalog.rtrim(dynatrace_execution_plan.query, ';'),\n ';'\n ) OPERATOR(pg_catalog.>) 0 THEN\n RAISE EXCEPTION 'query string must not contain a semicolon';\n END IF;\n\n /* get the parameter count */\n SELECT count(*) INTO arg_count\n FROM pg_catalog.regexp_matches( /* extract the \"$n\" */\n pg_catalog.regexp_replace( /* remove single quoted strings */\n dynatrace_execution_plan.query,\n '''[^'']*''',\n '',\n 'g'\n ),\n '\\$\\d{1,}',\n 'g'\n );\n\n IF arg_count OPERATOR(pg_catalog.=) 0 THEN\n open_paren := '';\n close_paren := '';\n ELSE\n open_paren := '(';\n close_paren := ')';\n END IF;\n\n /* construct a prepared statement */\n EXECUTE\n pg_catalog.concat(\n 'PREPARE _stmt_',\n open_paren,\n pg_catalog.rtrim(\n pg_catalog.repeat('unknown,', arg_count),\n ','\n ),\n close_paren,\n ' AS ',\n dynatrace_execution_plan.query\n );\n\n /* construct an EXPLAIN statement */\n explain_cmd :=\n pg_catalog.concat(\n 'EXPLAIN (FORMAT JSON, ANALYZE FALSE) EXECUTE _stmt_',\n open_paren,\n pg_catalog.rtrim(\n pg_catalog.repeat('NULL,', arg_count),\n ','\n ),\n close_paren\n );\n\n /* get and return the plan */\n EXECUTE explain_cmd INTO json_result;\n RETURN QUERY SELECT json_result;\n\n /* delete the prepared statement */\n DEALLOCATE _stmt_;\nEND;$$;\n```\n\nNotice that the function above is defined with `SECURITY DEFINER`, meaning it executes with the privileges of the user who defined it, not the one executing it. This is due to the fact that the permissions required to `EXPLAIN` a query are the same as the one required to run that query, meaning that the user with which this function is defined needs to have a sufficient priveliges to run `PREPARE` and `EXPLAIN` on the queries it will be explaining. As such, for full functionality ensure that the function is defined with the appropriate user.\n\nNote also that due to the requirement to `PREPARE` the statements, explain plans can only be fetched from the database the extension is directly connected to.\n\nAs with any function of this type, we recommend thorough testing before rolling out across big environments.\n\n#### Troubleshooting execution plan monitoring\n\nIf after a couple of minutes the execution plans are not showing up when you press to fetch the plan, one of two things might be happening: either the `EXPLAIN` query is failing or the ingestion into Dynatrace is causing trouble.\n\nFirst, to check whether the logs are being brought into Dynatrace at all or if the problem is related to the Databases app open a Notebook and query:\n```\nfetch logs\n| filter event.group==\"execution_plans\" and dt.extension.name==\"com.dynatrace.extension.postgres\" and sql_id==\"<Statement ID>\"\n| sort timestamp desc\n```\nIf there are logs showing up for the desired time frame this means that execution plan fetching is happening as normal but the Databases app is not picking them up. In this case, please contact Dynatrace support.\n\nIf the logs have content `Couldn't obtain an execution plan. No execution plan was found.`, the next step would be to check the ActiveGate datasource logs from a support archive at `<support_archive>/remoteplugin/log/extensions/datasources/com.dynatrace.extension.postgres/dynatracesourcesql.jar.log` for more details around the error. In tandem with this, it can be helpful to log into the database with the same user which is configured in the Dynatrace extension monitoring configuration and attempt to run\n```\nSELECT * from dynatrace.dynatrace_execution_plan({query})\n```\nfor the problematic `query`.\n\nIf the error relates to permissions, please ensure that the function was defined with the right user (see above). Note also that some queries cannot be explained (for example `SET` or `EXPLAIN` queries) so failure for those is expected.\n\nIf you believe that the `EXPLAIN` should have succeeded, please contact Dynatrace support."
},
"extension_type": "extension-2",
"saas_only": false,
"supported_by_dt": true,
"search_boost": 0,
"downloads": [
{
"name": "com.dynatrace.extension.postgres@2.3.1",
"fqn": "com.dynatrace.extension.postgres",
"version": "2.3.1",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.postgres/com.dynatrace.extension.postgres-2.3.1-f_F8fYudB.zip",
"release_notes": "**Bug fixes**:\n\n- Fixed bug where the `heavy-query-interval` variable's default value would not be set correctly.\n",
"created": "2025-01-30T14:37:57.243378Z"
},
{
"name": "com.dynatrace.extension.postgres@2.3.0",
"fqn": "com.dynatrace.extension.postgres",
"version": "2.3.0",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.postgres/com.dynatrace.extension.postgres-2.3.0-d_CAjSZyx.zip",
"release_notes": "**Bug fixes**:\n\n- Fixed bug where top statements would appear duplicated in the Databases app\n\n**Features**:\n\n- There are now two variables which can be defined at the configuration level, `query-interval` and `heavy-query-interval`, which control the frequency with which the Dynatrace queries the database/ingests data. Please see the FAQ section for more details.",
"created": "2025-01-30T10:09:28.134399Z"
},
{
"name": "com.dynatrace.extension.postgres@2.2.6",
"fqn": "com.dynatrace.extension.postgres",
"version": "2.2.6",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.postgres/com.dynatrace.extension.postgres-2.2.6-f_5jVqzFW.zip",
"release_notes": "**Bugfixes**:\n\n- Fixed the top queries not showing for certain non-Grail environment in the Postgres Instance screen.\n\nℹ️ This version requires ActiveGate version 1.293.0 or higher.",
"created": "2024-11-19T09:54:15.232934Z"
},
{
"name": "com.dynatrace.extension.postgres@2.2.5",
"fqn": "com.dynatrace.extension.postgres",
"version": "2.2.5",
"artifact": "https://dt-cdn.net/hub/extensions/com.dynatrace.extension.postgres/com.dynatrace.extension.postgres-2.2.5-a_7LAUTHA.zip",
"release_notes": "**Improvements**\n\n- Top queries will now no longer collect `ALTER` statements for security reasons. \n\n**Bugfixes**:\n\n- Fixed the Top queries by execution time section in the Databases app.\n- Fixed the displayed columns for top statements in the Databases app.\n\nℹ️ This version requires ActiveGate version 1.293.0 or higher.",
"created": "2024-11-12T13:58:38.884183Z"
},
{
"name": "com.dynatrace.extension.postgres@2.2.2",
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"about": "Dynatrace integration leverages [Akamai SIEM Integration](https://techdocs.akamai.com/siem-integration/docs/welcome-siem-integration) to ingest **security** logs and events generated by [Akamai products](https://www.akamai.com/products) to enable visibility, orchestration, and prioritization of security findings.\n\nIn addition, Dynatrace receives **transactional** logs via an [Akamai DataStream 2 native integration with Dynatrace](https://techdocs.akamai.com/datastream2/v3/docs/stream-dynatrace).\n\nCapabilities:\n\n* **Single pane of glass**: Ingest security findings from Akamai products into Dynatrace (powered by [OpenPipeline™](https://dt-url.net/openpipeline-docs))\n\n* **Unified analysis**: Dynatrace transforms and maps the findings to a unified format for detection findings (powered by [Dynatrace Semantic Dictionary](https://docs.dynatrace.com/docs/platform/semantic-dictionary))\n\n* **Findings operationalization**: Prioritize, visualize, and automate detection findings with runtime context\n\n* **Unveil blind spots**: Discover and eliminate security coverage gaps in your environment",
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"source": "With the latest release, Dynatrace service-level objectives can be set on all data types, leveraging the power of Grail as central data platform via DQL.\n\nThis enables you to define your SLI based on what matters to you and your customers, independently of whether they are based on classic latency and failure rate metrics or specific log patterns.\n\nFor more information, please see our help documentation or reach out to our support teams."
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