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.