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Optimizing Kubernetes Resource Requests
Last modified: 2021-10-18
Abstract
Due to how Kubernetes scheduler works, improper CPU requests can lead to uneven load of servers and poor performance of workloads. This study focuses on how to set the optimal CPU request for Kubernetes workload. The presented solution allowed to increase CPU utilization and free more resources in cluster. Whereas it performed well for constantlyloaded workload, but for oddly-loaded ones applying the recommended values led to SLA degradation, while no significant CPU throttling was noticed. In order to apply the results in production, further research is required.
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