---
title: Azure Machine Learning monitoring integration
source: https://docs.newrelic.com/docs/infrastructure/microsoft-azure-integrations/azure-integrations-list/azure-machine-learning-integration
---

[New Relic's integrations](https://docs.newrelic.com/docs/infrastructure/introduction-infra-monitoring) include an integration for reporting your Azure Machine Learning data to New Relic. This document explains how to activate this integration and describes the data that can be reported.

## Activate integration [#activate]

To enable the integration follow standard procedures to [activate your Azure service in New Relic](https://docs.newrelic.com/docs/infrastructure/microsoft-azure-integrations/getting-started/activate-azure-integrations).

## Configuration and polling [#polling]

You can change the polling frequency and filter data using [configuration options](https://docs.newrelic.com/docs/integrations/new-relic-integrations/getting-started/configure-polling-frequency-data-collection-cloud-integrations).

Default [polling](https://docs.newrelic.com/docs/infrastructure/microsoft-azure-integrations/getting-started/azure-integration-polling) information for the Azure Machine Learning integration:

-   New Relic polling interval: 5 minutes

## Find and use data [#find-data]

To find your integration data, go to **[one.newrelic.com > All capabilities](https://one.newrelic.com/all-capabilities) > Infrastructure > Azure** and select an integration.

You can [query and explore your data](https://docs.newrelic.com/docs/using-new-relic/data/understand-data/query-new-relic-data) using the following [event type](https://docs.newrelic.com/docs/data-apis/understand-data/new-relic-data-types/#event-data):

| Entity    | Event Type                            | Provider                        |
| --------- | ------------------------------------- | ------------------------------- |
| Workspace | `AzureMachineLearningWorkspaceSample` | `AzureMachineLearningWorkspace` |

For more on how to use your data, see [Understand and use integration data](https://docs.newrelic.com/docs/infrastructure/integrations/find-use-infrastructure-integration-data).

## Metric data [#metrics]

This integration collects Azure Machine Learning data for Workspace.

### Machine Learning Workspace data

| Metric                    | Unit    | Description                                                                                                                  |
| ------------------------- | ------- | ---------------------------------------------------------------------------------------------------------------------------- |
| `completedRuns`           | Count   | Number of runs completed successfully for this workspace                                                                     |
| `startedRuns`             | Count   | Number of runs started for this workspace                                                                                    |
| `failedRuns`              | Count   | Number of runs failed for this workspace                                                                                     |
| `modelRegisterSucceeded`  | Count   | Number of model registrations that succeeded in this workspace                                                               |
| `modelRegisterFailed`     | Count   | Number of model registrations that failed in this workspace                                                                  |
| `modelDeployStarted`      | Count   | Number of model deployments started in this workspace                                                                        |
| `modelDeploySucceeded`    | Count   | Number of model deployments that succeeded in this workspace                                                                 |
| `modelDeployFailed`       | Count   | Number of model deployments that failed in this workspace                                                                    |
| `totalNodes`              | Count   | Number of total nodes. This total includes some of Active Nodes, Idle Nodes, Unusable Nodes, Preempted Nodes, Leaving Nodes. |
| `activeNodes`             | Count   | Number of Active nodes. These are the nodes which are actively running a job.                                                |
| `idleNodes`               | Count   | Number of idle nodes. Idle nodes are the nodes which are not running any jobs but can accept new job if available.           |
| `unusableNodes`           | Count   | Number of unusable nodes. Unusable nodes are not functional due to some unresolvable issue. Azure will recycle these nodes.  |
| `preemptedNodes`          | Count   | Number of preempted nodes. These nodes are the low priority nodes which are taken away from the available node pool.         |
| `leavingNodes`            | Count   | Number of leaving nodes. Leaving nodes are the nodes which just finished processing a job and will go to Idle state.         |
| `totalCores`              | Count   | Number of total cores                                                                                                        |
| `activeCores`             | Count   | Number of active cores                                                                                                       |
| `idleCores`               | Count   | Number of idle cores                                                                                                         |
| `unusableCores`           | Count   | Number of unusable cores                                                                                                     |
| `preemptedCores`          | Count   | Number of preempted cores                                                                                                    |
| `leavingCores`            | Count   | Number of leaving cores                                                                                                      |
| `quotaUtilizationPercent` | Percent | Percent of quota utilized                                                                                                    |
| `cpuUtilizationPercent`   | Percent | CPU utilization                                                                                                              |
| `gpuUtilizationPercent`   | Percent | GPU utilization                                                                                                              |