Optimize Kubernetes costs while matching your application SLO using AI
summary
Explains Kubernetes resource management challenges that lead to high infrastructure costs and performance problems for microservices, and analyzes those concepts from performance and reliability perspectives. Describes using AI to automate sizing of container CPU/memory settings driven by application SLOs so teams can balance lower costs with required performance and reliability.
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chapters (13)
- 0:00Introduction
- 4:55Agenda
- 6:10Kubernetes history
- 10:13Resource management mechanisms
- 18:00The 4 machine learning pills
- 22:27A practical example
- 22:37The chosen application
- 24:30The optimization goal
- 26:51Achieved results
- 30:31Improved performance
- 33:14How to try it
- 33:42Questions
- 36:52Conclusions
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