Data Engineer
mediumde-pipeline-monitoring
What should you monitor in data pipelines (freshness, latency, failures)?
Answer
Monitoring prevents silent data outages.
Track:
- Pipeline success/failure
- Runtime and lag
- Data freshness and volume
- Quality test failures
Set SLOs for critical datasets and build alerting that’s actionable. Include lineage so teams can see downstream impact when a dataset breaks.
Related Topics
MonitoringReliabilityData Engineering