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:
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"
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"
Pending
state until resources are freed up.Asked: 2023-02-22 11:00:00 +0000
Seen: 9 times
Last updated: Jul 29 '21