How to Install Kubernetes (K8s) Metrics Server Step by Step

In this post, we will cover to how to install Kubernetes metrics server step by step.

The Kubernetes(k8s) Metrics Server is a component that collects and aggregates metrics data from various sources in the Kubernetes cluster, including nodes and pods. This data can be used to monitor and optimize resource utilization, identify potential issues, and improve the overall performance of your Kubernetes cluster.

Metrics Server collects resource utilization data such as CPU and memory usage for nodes and pods in the cluster. It provides an API endpoint that can be used to query this data and retrieve metrics for specific resources in the cluster.

Prerequisites

  • A Kubernetes cluster (v1.21 or high) up and running.
  • kubectl command line tool installed and configured to interact to your Kubernetes cluster.
  • The ability to create and modify Kubernetes objects.

Without any further delay, let’s deep dive into the installation steps.

Step 1) Download Metrics Server Manifest

The first step is to download the latest Metrics Server manifest file from the Kubernetes GitHub repository. Use below curl command to download yaml file,

# curl -LO https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

Download-Metrics-Server-Yaml-file-Curl-Command

If you are planning to install metrics server in high availability mode then download following manifest file.

# curl https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/high-availability-1.21+.yaml

Step 2) Modify Metrics Server Yaml File

Next, you need to modify the Metrics Server yaml file to set some configuration options,

# vi components.yaml

Find the args section under the container section, add the following line:

- --kubelet-insecure-tls

Under the spec section, add following parameter,

hostNetwork: true

Edit-Metrics-Server-Yaml-file

Save and close the file.

Step 3) Deploy Metrics Server

Now, we are all set to deploy metrics server, run following kubectl command,

# kubectl apply -f components.yaml

Deploy-Metrics-Server-Kubectl-Command

Step 4) Verify Metrics Server Deployment

After deploying the Metrics Server, verify it’s status by checking the pods status which is running in the kube-system namespace,

# kubectl get pods -n kube-system

Metrics-Server-Pods-Status-Kube-System

Output above confirms that metrics-server pod is up and running.

Step 5) Test Metrics Server Installation

Finally, you can test the metrics server by running following kubectl command,

# kubectl top nodes

This command should display the resource utilization for each node in your cluster, including CPU and memory usage.

Kubectl-top-node-command-Output

To view pods resource utilization of your current namespace or specific namespace, run

# kubectl top pod
# kubectl top pod -n kube-system

Kubectl-top-pod-command-output

That’s all from this post, I have hope you found it informative. Please do post your feedback and queries in below comments section.

Also Read: How to Install and Use Helm in Kubernetes

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