Revision history [back]

Kubernetes provides a feature called resource requests and limits that allows users to specify the amount of CPU and memory resources required by the pods. The Kubernetes scheduler uses this information to allocate the appropriate resources for the pods.

To allocate CPUs based on memory in Kubernetes:

1. Determine the amount of memory required by the pod. This can be specified in the pod’s manifest file using the resources field, for example:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container
    image: my-image
    resources:
      limits:
        memory: "1Gi"
      requests:
        memory: "512Mi"

1. Determine the amount of CPU required by the pod. This can also be specified in the resources field, for example:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container
    image: my-image
    resources:
      limits:
        memory: "1Gi"
        cpu: "1"
      requests:
        memory: "512Mi"
        cpu: "0.5"

1. The Kubernetes scheduler will use this information to allocate CPU and memory resources for the pod during scheduling. If there are not enough resources available to satisfy the requests and limits specified in the pod’s manifest file, the pod will remain in the Pending state until resources are freed up.