How would you monitor production ML systems in Azure ML?

Production ML systems are monitored using latency metrics, drift detection, prediction quality analysis, logging, telemetry, and infrastructure monitoring.

Monitoring production ML systems requires observability across infrastructure, data, and model behavior.

Azure ML monitoring includes:

Monitoring should evaluate:

Effective monitoring enables proactive maintenance and reliable ML operations.