How-To Implement CPU and Memory System Reservation for Kubernetes Nodes

Problem

You are observing CPU or memory constraints on your Kubernetes nodes and would like to implement systemReserved parameter to reserve some resources for the system processes.

Environment

Platform9 Managed Kubernetes - All Versions
Kubelet

Procedure

Identify the worker kubelet configuration within the cluster.

# kubectl get cm -n kube-system

NAME DATA AGE

calico-config 4 11d

coredns 1 11d

dns-autoscaler 1 11d

extension-apiserver-authentication 6 11d

kube-root-ca.crt 1 11d

master-default-kubelet-config 1 11d

metrics-server-config 1 11d

worker-default-kubelet-config 1 11d

Backup the original kubelet configuration configmap.

# kubectl get cm worker-default-kubelet-config -n kube-system -o yaml > <path_to_backup>

Modify the default__kubelet configmap and add the systemReserved parameter.

# kubectl edit cm worker-default-kubelet-config -n kube-system

.........

authorization:

mode: AlwaysAllow

systemReserved:

memory: "1Gi"

cpu: "1"

clusterDNS:

- "10.21.0.10"

........

Additional Information

As soon as the file is saved, the changes are automatically applied to all the existing worker nodes.
As a part of this change, the kubelet service on the worker node gets restarted.

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