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Copy file name to clipboardExpand all lines: articles/machine-learning/monitor-azure-machine-learning-reference.md
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---
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title: Azure Machine Learning monitoring data reference
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description: This article contains important reference material you need when you monitor Azure Machine Learning.
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ms.date: 02/15/2024
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ms.date: 03/21/2024
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ms.custom: horz-monitor
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ms.topic: reference
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ms.author: aashishb
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ms.subservice: mlops
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---
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<!--
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IMPORTANT
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To make this template easier to use, first:
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1. Search and replace Machine Learning with the official name of your service.
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2. Search and replace machine-learning with the service name to use in GitHub filenames.-->
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<!-- VERSION 3.0 2024_01_01
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For background about this template, see https://review.learn.microsoft.com/en-us/help/contribute/contribute-monitoring?branch=main -->
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<!-- Most services can use the following sections unchanged. All headings are required unless otherwise noted.
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The sections use #included text you don't have to maintain, which changes when Azure Monitor functionality changes. Add info into the designated service-specific places if necessary. Remove #includes or template content that aren't relevant to your service.
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At a minimum your service should have the following two articles:
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1. The primary monitoring article (based on the template monitor-service-template.md)
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- Title: "Monitor Machine Learning"
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- TOC title: "Monitor"
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- Filename: "monitor-machine-learning.md"
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2. A reference article that lists all the metrics and logs for your service (based on this template).
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- Title: "Machine Learning monitoring data reference"
See [Monitor Machine Learning](monitor-azure-machine-learning.md) for details on the data you can collect for Azure Machine Learning and how to use it.
The resource provider for these metrics is Microsoft.MachineLearningServices/workspaces.
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The metrics categories are **Model**, **Quota**, **Resource**, **Run**, and **Traffic**. **Quota** information is for Machine Learning compute only. **Run** provides information on training runs for the workspace.
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<!-- Repeat the following section for each resource type/namespace in your service. -->
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### Supported metrics for Microsoft.MachineLearningServices/workspaces
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The following table lists the metrics available for the Microsoft.MachineLearningServices/workspaces resource type.
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<!-- For each ### section:
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1. Replace the <ResourceType/namespace> placeholder in the heading and introductory sentence. Example: ### Supported metrics for Microsoft.Storage/storageAccounts/blobServices
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2. Find the metrics for the resource type at https://learn.microsoft.com/azure/azure-monitor/reference/supported-metrics/metrics-index#supported-metrics-per-resource-type, which is autogenerated from underlying systems. Either link to the listed metrics page(s), OR #include the metrics table(s).
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3. Add any further information after each metric #include or link. -->
### Supported metrics for Microsoft.MachineLearningServices/workspaces/onlineEndpoints/deployments
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The following table lists the metrics available for the Microsoft.MachineLearningServices/workspaces/onlineEndpoints/deployments resource type.
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<!-- For each ### section:
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1. Replace the <ResourceType/namespace> placeholder in the heading and introductory sentence. Example: ### Supported metrics for Microsoft.Storage/storageAccounts/blobServices
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2. Find the metrics for the resource type at https://learn.microsoft.com/azure/azure-monitor/reference/supported-metrics/metrics-index#supported-metrics-per-resource-type, which is autogenerated from underlying systems. Either link to the listed metrics page(s), OR #include the metrics table(s).
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3. Add any further information after each metric #include or link. -->
<!-- Find the table(s) for your service at https://learn.microsoft.com/azure/azure-monitor/reference/tables/tables-resourcetype. These files are auto generated from the REST API.
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NOTE: Also refer to https://learn.microsoft.com/azure/azure-monitor/reference/tables/azurediagnostics#azure-diagnostics-mode to see whether your service uses the AzureDiagnostics table in Azure Monitor Logs / Log Analytics.
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Link to the service-specific tables. If your service uses the AzureDiagnostics table, list the fields you use and what they're for. If your service uses both tables, list both types of information. Add any further information after each table link, such as descriptions and usage, or information not found in the tables. Example:
<!-- Refer to https://learn.microsoft.com/azure/role-based-access-control/resource-provider-operations and link to the possible operations for your service, using the format - [<Namespace> resource provider operations](/azure/role-based-access-control/resource-provider-operations#<namespace>).
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Example: - .
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If there are other operations not in the link, list them here in table form. -->
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The following table lists some operations related to Machine Learning that may be created in the activity log. For a complete listing of Microsoft.MachineLearningServices operations, see [Microsoft.MachineLearningServices resource provider operations](/azure/role-based-access-control/resource-provider-operations#microsoftmachinelearningservices).
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| Operation | Description |
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| Deletes the compute resources | A compute resource was deleted |
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| List secrets | On operation listed secrets for a Machine Learning workspace |
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<!-- ## Other schemas. Optional section. Please keep heading in this order. If your service uses other schemas, add the following include and information. -->
<!-- List other schemas and their usage here. These can be resource logs, alerts, event hub formats, etc. depending on what you think is important. You can put JSON messages, API responses not listed in the REST API docs, and other similar types of info here. -->
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## Log schemas
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Azure Machine Learning uses the following schemas.
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