MLflow

MLflow is an open-source platform for managing the machine learning (ML) lifecycle, including experiment tracking, model versioning, and deployment.

Observability with Pulse

Pulse provides MLflow observability through a unified platform that helps monitor overall system health and component behavior.

This capability enables you to:

• Monitor the health of the MLflow Server component in real time.
• Analyze logs to troubleshoot issues and correlate system events efficiently.
• Check service availability and receive proactive notifications using Pulse alerts.

Before You Begin

To view MLflow data in the Pulse UI, make sure you Configure Pulse to Monitor MLflow.

Explore in Detail

• Monitor MLflow Health and Logs
• Monitor Flink with Pulse Alerts