Azure Machine Learning Workspaces Monitoring

LogicMonitor provides support for monitoring Azure Machine Learning Workspaces. It helps you optimize your Azure Machine Learning Workspaces environment by enhancing visibility of CPU and GPU utilization, total cores and their status, model deployments, and more.

Requirements for Monitoring Azure Machine Learning Workspaces

To monitor Azure Machine Learning Workspaces, you must configure monitoring of Azure DataSources. For more information, see Adding Microsoft Azure Cloud Monitoring.

Importing Azure Machine Learning Workspaces LogicModules

Install all Machine Learning Workspaces LogicModules from the LogicMonitor Module Exchange. If all Machine Learning Workspaces modules are already present, ensure the modules are using the most recent version.

For more information, see Module Installation.

Azure Machine Learning Workspaces LogicModules in Package

LogicMonitor’s package for Azure Machine Learning Workspaces consists of the following LogicModules. For full coverage, import all of the following LogicModules into your LogicMonitor platform:

Name	Type	Description
Microsoft_Azure_MachineLearningWorkspaces	DataSource	Monitors Azure Machine Learning workspace performance and job metrics.