Best Practices for Effective Multi-Cluster Observability: Lessons Learned
summary
Argues that multicluster observability must be a scalable architecture, not scattered tooling, and shows concrete integrations: Perses dashboards embedded into a traces UI (scatter and G charts) for drilldown, an in-house Correlator rules engine that links alerts, metrics, logs and Kubernetes resources to cut troubleshooting time, and Kepler energy metrics (eBPF + ML exported as Prometheus) for sustainability tracking. Reports most alerts are warnings so noise reduction and prioritized alerts plus configurable signal selection drive cost and resource control.
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chapters (8)
- 0:00Multicluster observability intro
- 2:08Why multicluster observability matters
- 8:07Challenges in multicluster observability
- 14:11Lessons from our journey
- 15:14CNCF open source landscape
- 25:05Efficient multicluster tool config
- 27:35Future observability trends
- 30:04Summary
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