Share via


Monitor Lakeflow Declarative Pipelines

This section describes monitoring and observability features for Lakeflow Declarative Pipelines.

Topic Description
Monitor using the UI Observe the progress and status of pipeline updates, and alert on the success or failure. View metrics for streaming sources, like Apache Kafka and Auto Loader.
Event log Extract detailed information on pipeline updates such as data lineage, data quality metrics, and resource usage using the Lakeflow Declarative Pipelines event log.
Additionally, see the schema for the event log.
Query history Inspect and diagnose query performance by looking at the query history.
Custom monitoring Define custom actions to take when specific events occur using event hooks.