~/talk

Kubernetes Observability

on YouTube 11m
Talkat KCD Sri Lanka 2022 · 2022-09-03..09-04· [observability, kubernetes]

speaker

name:Janaka Wickramasinghe
links:none on file

resources

video:https://youtu.be/5MOfiXGXRj4
slides:none on file

summary

Kubernetes observability focuses on three concrete pillars: logs metrics traces with a telemetry layer, analytics (including ML anomaly detection), and security/troubleshooting. Practical advice includes monitoring API metrics like request rate, errors and latency, alerting on disk at 70–80% usage, and expecting high data volume from distributed components. Recommended stack: Prometheus and PromQL for time-series, Grafana (dashboards + Loki), Jaeger for end-to-end tracing, and an EFK pipeline (Fluentd/Logstash → Elasticsearch → Kibana).

AI-written summary · about

chapters (11)

  1. 0:00Introduction
  2. 0:23Defining observability
  3. 1:19Foundations of monitoring
  4. 2:13Levels of monitoring
  5. 2:40Importance of observability
  6. 3:53Observability challenges
  7. 4:41Best practices
  8. 6:05Three pillars explained
  9. 7:17Observability platform
  10. 7:51Tools for implementation
  11. 10:38Conclusion

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