Demystifying Observability and Monitoring
summary
Explains why observability vs monitoring matters by naming concrete practices: use Prometheus and Grafana for time‑series metrics and dashboards, track a pipeline’s last-success-time >3h alert that fires after 15 minutes at high severity and routes to the data‑platform owner, instrument Kubernetes with memory/CPU dashboards, and design for immutable data and lightweight lineage (tagged records, unique trace IDs) so incidents are reproducible and debuggable without shipping new code.
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chapters (8)
- 0:00Introduction
- 1:39Software Resilience
- 12:29Observability Features
- 15:39Conclusion
- 25:26Data Discovery
- 27:39Analytics Planning
- 30:29Visualization
- 34:11Adoption
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