Guides ยท Business
Data Pipeline Monitoring Basics
Monitor data pipelines effectively
This guide covers monitoring ETL/ELT pipelines by watching freshness SLAs, row counts, anomaly detection on metrics, and routing alerts to the right owners with runbooks.
- data pipeline
- monitoring
- freshness
- quality
- alerts
Freshness and volume
Monitor last successful run times and row counts against thresholds.
Quality checks
Add schema checks, null thresholds, and distribution anomalies.
Alert routing
Send alerts to on-call or owners with context and links to runbooks.
Review trends
Track incident frequency and fix recurring causes.