Optimizing K8s API Server Performance: Caching and Events to Implement Change Data Capture
summary
How to use caching and Kubernetes resource events to improve Kubernetes API server performance and implement Change Data Capture: the talk covers caching mechanisms to avoid repeated heavy API responses, techniques to invalidate caches efficiently using Kubernetes events, concrete implementation examples, and production best practices to reduce latency and increase cluster scalability.
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chapters (13)
- 0:00K8s API Server performance
- 1:09Kubernetes use case
- 3:15Caching in Kubernetes
- 5:46Cache patterns reads/writes
- 11:24Change Data Capture informers
- 14:13Redis demo
- 18:46Stress test results
- 22:45Enterprise cluster caching
- 26:42Q&A
- 29:16Q&A
- 33:14Q&A
- 36:30Q&A
- 38:42Conclusion
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