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Copy file name to clipboardExpand all lines: docs/integrations/microsoft-azure/azure-machine-learning.md
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@@ -83,27 +83,27 @@ import ViewDashboardsIndex from '../../reuse/apps/view-dashboards-index.md';
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### Overview
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The **Azure Machine Learning - Overview** dashboard provides comprehensive information on events, operations and details such as overall number of runs, models deployed and quota utilization, operation types, ingress and egress of network data
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The **Azure Machine Learning - Overview** dashboard provides comprehensive details on events, operations and details such as overall number of errors, failures, model usage and quota utilization, operation types, ingress and egress of network data
This**Azure Machine Learning - Model** dashboard provides information on model details related to your Azure Machine Learning.
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The**Azure Machine Learning - Model** dashboard provides information on model details and model inference operations related to your Azure Machine Learning.
The **Azure Machine Learning - Compute** dashboard provides details on compute operations, events and usage such as CPU, Disk or memory to your Azure Machine Learning.
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The **Azure Machine Learning - Compute** dashboard provides details on compute operations, events and usage such as CPU, GPU, Disk or memory to your Azure Machine Learning.
The **Azure Machine Learning - Data Events** dashboard provides details on data events and results details related to your Azure Machine Learning.
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The **Azure Machine Learning - Data Events** dashboard provides details on all Data events such as DateSet, DataStore, DataLabel read/change events with results details and also environment data events related to your Azure Machine Learning.
The **Azure Machine Learning - Jobs and Pipelines** dashboard provides details on operations, events and failures in jobs and pipelines of your Azure Machine Learning.
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<img src={useBaseUrl('https://sumologic-app-data-v2.s3.us-east-1.amazonaws.com/dashboards/AzureVM/Azure+VM+-+CPU.png')} alt="Azure Machine Learning - Jobs and Pipelines dashboard" style={{border: '1px solid gray'}} width="800" />
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<img src={useBaseUrl('https://sumologic-app-data-v2.s3.us-east-1.amazonaws.com/dashboards/AzureMachineLearning/Azure-Machine-Learning-Jobs-and-Pipelines.png')} alt="Azure Machine Learning - Jobs and Pipelines dashboard" style={{border: '1px solid gray'}} width="800" />
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### Quota
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The **Azure Machine Learning - Quota** dashboard provides details on quota related to your Azure Machine Learning such as Quota Utilization, Active Node, Active Cores, Idle Cores, etc.
The **Azure Machine Learning - Run** dashboard provides details on running experiments such as failed runs, errors in runs, completed or in-progress or started run
|`Azure Machine Learning - CPU Utilization`| This alert is triggered when CPU usage spikes above 80% are detected for any Machine Learning CPU. | Count >= 80 | Count < 80 |
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|`Azure Machine Learning - Failed Runs`| This alert is triggered when Failed Runs are detected in Machine Learning workspace. | Count > 1 | Count =< 1 |
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|`Azure Machine Learning - GPU Memory Utilization`| This alert is triggered when GPU memory utilization spikes above 80% are detected for any Machine Learning GPU. | Count >= 80 | Count < 80 |
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|`Azure Machine Learning - GPU Utilization`| This alert is triggered when GPU utilization spikes above 80% are detected for any Machine Learning GPU. | Count >= 80 | Count < 80 |
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|`Azure Machine Learning - Quota Utilization`| This alert is triggered when consumed Quota goes above 80% for any Machine Learning workspace. | Count >= 80 | Count < 80 |
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## Upgrade/Downgrade the Azure Machine Learning app (optional)
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