Table-Level Monitoring
Monitors can be configured per table within a pipeline, with anomaly detection and threshold alerts on row count and data volume.
Pipeline-level monitoring can hide issues in individual tables.
When aggregate metrics look healthy, a single critical table can still be degrading unnoticed.
Now there is table-level monitoring within a pipeline.
Teams can now configure monitors per table, including anomaly detection based on historical behavior and threshold-based alerts (row count, data volume) with customizable evaluation windows.
It's granular visibility without increasing alert noise.
Why this matters
- Detect issues in critical tables even when pipeline metrics look normal
- Reduce unnecessary alerts across low-impact tables
- Tune monitoring to table-specific ingestion patterns
- Strengthen reliability in high-table-count pipelines