CODEWITHSUNDEEP
kuberneteskubernetes-pod
Abhishek Anvekar
Abhishek Anvekar

Reputation: 418

Node Allocation on kubernetes nodes

I am managing a Kubernetes cluster with 10 nodes(On-prem) and the node's configuration is not identical, 5 nodes are of 64 cores and 125G ram, and 5 nodes are of 64 cores and 256G ram. Most of the time I keep getting alerts saying the node CPU/MEMORY is high and I see the pods are getting restarted, as it is consuming 92-95% of CPU and memory on certain nodes, I want to apply CPU and Memory Allocation on nodes so that the CPU utilization doesn't go very high.

I tried manually editing the node configuration but that did not work.

Any leads for this will be helpful!

Upvotes: 0

Views: 647

Answers (2)

Abhishek Anvekar
Abhishek Anvekar

Reputation: 418

Found the Kubernetes document for setting the node level allocatable resource.

Fixed using the below document https://kubernetes.io/docs/tasks/administer-cluster/reserve-compute-resources/#node-allocatable https://kubernetes.io/docs/concepts/scheduling-eviction/node-pressure-eviction/

Upvotes: 0

Hussein Awala
Hussein Awala

Reputation: 5088

In K8s, you can limit the resources usage for the pod containers and reserve a some cpus/memory for the container to avoid this problem:

---
apiVersion: v1
kind: Pod
metadata:
  name: <pod name>
spec:
  containers:
  - name: c1
    image: ...
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: c2
    image: ...
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"

Upvotes: 1

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