Monitor MLflow Health and Logs

The MLflow monitoring capability in Pulse enables you to track component health, review system logs, and identify issues across MLflow in real time.

Check MLflow Component Status

You can monitor the status of the MLflow Server component or service to ensure system stability.

• In the Nodes > Summary page, check the status of the MLflow Server component.
• For details, see Check Hadoop Service Status.

Check MLflow Component Log Data

You can analyze MLflow logs in Pulse to troubleshoot errors, query failures, or performance bottlenecks.

• In the Logs > Application Logs, search and review log details for the Flink component.
• For details, see Troubleshoot Using Application Logs.