Compressing Java resource usage in containers: 80% of results in 20% of time without OOMs
summary
Describes techniques to reduce Java resource usage when running in containers to avoid OOMs and get most gains quickly (the talk claims an 80% of result for 20% of time). Covers concrete practices for JVM tuning, container resource limits, and operational measures used to keep a production HR system (handling ~3000 rps and high seasonal peaks) at 99.99% availability.
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chapters (8)
- 0:00Introduction
- 3:37Memory problems in Java containers
- 10:45Optimal heap size
- 17:07GC choice and tuning
- 24:10Handling overload and throttling
- 30:21Resource optimization and scaling
- 41:17Monitoring and future plans
- 49:01Q&A
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