For the Love of God, Stop Using CPU Limits on Kubernetes
Using CPU limits on Kubernetes can lead to CPU throttling, causing more harm than good. Setting accurate CPU requests is crucial to avoid throttling. Memory management best practices are also discussed, along with a tool for resource recommendations.
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The article discusses the drawbacks of using CPU limits on Kubernetes, emphasizing that they often do more harm than good, leading to CPU throttling. The author provides analogies to explain the negative impact of CPU limits, highlighting the importance of defining CPU requests instead. By setting accurate CPU requests, pods can access the CPU they need without being throttled, even without limits. The article recommends using CPU requests for all pods, ensuring accuracy, and avoiding CPU limits. It also mentions that memory management differs from CPU and provides best practices for memory limits and requests. Additionally, a tool called Kubernetes Resource Recommender is introduced to help determine CPU and memory requests based on historical data. The article concludes with a reminder to always use memory limits and requests and to set memory requests equal to limits.
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6 commentsWe've had success with CPU limits, and horizontal scaling.
Being able to make a cgroup where essential services as a whole share a pool guaranteed 30%, then further refining & trading off that pool & other work pools feels like such a superpower. Compared to having to manage all services in flat, absolute terms.
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