Instrument data pipelines with observability — freshness and volume SLAs, run success/latency metrics, data quality monitors, anomaly detection, lineage, and actionable alerting that avoids fatigue. Use when pipelines fail silently, incidents are found by stakeholders instead of alerts, setting up monitoring/SLAs for data, or reducing noisy alerts.
