In Kubernetes, the CPU resource refers to the processing power of a node in the cluster. Kubernetes Resource Types and How to Optimize Them CPU Ensures applications have predictable performance: By setting appropriate resource limits and requests, you can ensure that your pods have the resources they need to perform consistently, which can be important for applications that need to meet specific performance or availability requirements.This can help you optimize the cost of running your cluster, especially if you are using a cloud provider that charges for resource usage. Helps optimize the cost and efficiency of your cluster: By setting appropriate resource limits and requests, you can ensure that your pods are using resources efficiently and not wasting resources.By setting resource limits and requests, you can ensure that pods are only using the resources they need and avoid resource contention. Prevents resource contention within a cluster: If multiple pods are competing for the same resources, it can lead to performance issues and instability.Ensures that pods have the resources they need to run properly: Pods that are allocated too few resources may not be able to perform their intended functions, while pods that are allocated too many resources may waste resources that could be used by other pods.Managing resources like CPU and memory in Kubernetes clusters, using resource limits and requests or other methods, is important for several reasons: Why You Need to Manage Kubernetes Resources Ephemeral Storage and Extended Resources.Kubernetes Resource Types and How to Optimize Them.Why You Need to Manage Kubernetes Resources.This is a part of a series of articles about Kubernetes architecture. Here is an example of a resource configuration that specifies the pod is allowed to use a maximum of 500 millicores of CPU and 500 megabytes of memory, and it will always be allocated at least 100 millicores of CPU and 100 megabytes of memory: The values for these fields can be specified in millicores (e.g., 500m for 500 millicores) or as a fraction of a CPU (e.g., 0.5 for half a CPU). For example, to specify the amount of CPU that a pod is allowed to use, you can set the limits.cpu and requests.cpu fields in the resources section of the pod manifest.
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