1/23/2024 0 Comments Dive into deep learning![]() The mode that will best suit your requirements depends on the nature of your workload. Alternatively, you can set the CPU Manager policy to static to give containers exclusive access to specific cores. This feature allows you to use Linux CPUSets instead of the CFS to assign CPUs to workloads.īy default, the CPU Manager policy is set to none, which means that the Linux CFS and CFS quota are responsible for assigning and limiting CPU resources in Kubernetes. The CPU Manager is a feature that was introduced in beta in Kubernetes v1.10 and moved to stable in v1.26. Many cloud instances run in hyperthreading mode, meaning that 1 core is equal to 2 vCPU. ![]() For the purpose of this post, we also assume that 1 core is equal to 1 vCPU. For simplicity, in the allocation graphs, we assume that there are no CPU reservations for Kubernetes and system components (kubelet, kube-proxy, the container runtime, etc.), unless explicitly stated. Note: Node allocation and usage graphs represent a percentage of the CPU time usage, not a timeline. We are not going to consider memory resources in this post. We will also explore the differences between using the default policy (CFS quota) and the CPU Manager’s static policy. In this post, we are going to dive a bit deeper into CPU and share some general recommendations for specifying CPU requests and limits. We also introduced some of the effects CPU and memory limits can have on applications, assuming that CPU limits were enforced by the Completely Fair Scheduler (CFS) quota. ![]() In a previous blog post, we explained how containers’ CPU and memory requests can affect how they are scheduled.
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