How to Install Kubernetes Cluster on Ubuntu 20.04

In this post, we will cover how to install Kubernetes cluster on Ubuntu 20.04 step-by-step. By the end of this post, you will have a functional Kubernetes environment that can run and manage your containerized applications seamlessly.

Kubernetes, often abbreviated as K8s, is a powerful container orchestration tool that automates the deployment, scaling, and management of containerized applications. With its widespread adoption, Kubernetes has become an essential tool for modern DevOps teams and developers.


Before diving into the installation process, ensure that you have the following prerequisites:

  • Ubuntu 20.04 : Make sure you have a clean, up-to-date installation of Ubuntu 20.04 on all the machines you intend to include in your cluster.
  • Minimum Resources: Each machine should have at least 2 CPU cores, 2GB of RAM, and enough disk space to accommodate the Kubernetes components.
  • Static IP Addresses: Assign static IP address to each node in the cluster to ensure stability and consistency.
  • SSH Access: Ensure you have SSH access to all the nodes from the machine you will be using to install the cluster.
  • Privileged user with sudo rights
  • Stable Internet Connection

Lab setup:

  • Machine 1 – K8s-master –
  • Machine 2 – K8s-node-0 –
  • Machine 3 – K8s-node-1 –


Without any further delay, let’s jump into the Kubernetes cluster installation on Ubuntu 20.04.

1) Set hostname of Each Node

Use hostnamectl command to set hostname on each node, example is shown below:

$ sudo hostnamectl set-hostname "k8s-master"     // Run this command on master node
$ sudo hostnamectl set-hostname "k8s-node-0"     // Run this command on node-0
$ sudo hostnamectl set-hostname "k8s-node-1"     // Run this command on node-1

Add the following entries in /etc/hosts files on each node,    k8s-master    k8s-node-0    k8s-node-1

2) Disable swap and Add Kernel Modules

Disable swap and add following kernel module on all the nodes ( master + worker nodes).

To disable swap, edit /etc/fstab file and comment out the line which includes entry either swap partition or swap file.

$ sudo vi /etc/fstab


Save & exit the file

Run swapoff command to disable the swap on the fly

$ sudo swapoff -a

Next, add kernel modules and enable IP forwarding,

$ sudo tee /etc/modules-load.d/containerd.conf <<EOF

$ sudo modprobe overlay
$ sudo modprobe br_netfilter

$ sudo tee /etc/sysctl.d/kubernetes.conf<<EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1

$ sudo sysctl --system

3) Install Containerd Runtime on All Nodes

Install containerd runtime on all the nodes, run following set of commands,

Run Following apt command to install required dependencies for continaerd

$ sudo apt install -y curl gnupg2 software-properties-common apt-transport-https ca-certificates

Next, add docker repository,

$ sudo curl -fsSL | sudo gpg --dearmour -o /etc/apt/trusted.gpg.d/docker.gpg
$ sudo add-apt-repository "deb [arch=amd64] $(lsb_release -cs) stable"

After adding repo, install containerd using beneath commands,

$ sudo apt update
$ sudo apt install -y

Configure the contianerd using following command,

$ containerd config default | sudo tee /etc/containerd/config.toml >/dev/null 2>&1
$ sudo sed -i 's/SystemdCgroup \= false/SystemdCgroup \= true/g' /etc/containerd/config.toml

Start and enable containerd service

$ sudo systemctl restart containerd && sudo systemctl enable containerd

Verify containerd service, run

$ sudo systemctl status containerd


4) Install Kubectl, kubelet and kubeadm on all nodes

Execute beneath commands on all 3 nodes to add Kubernetes repository and then install kubectl , kubelet and kubeadm utility

$ sudo apt install -y apt-transport-https curl 
$ curl -s | sudo gpg --dearmour -o /etc/apt/trusted.gpg.d/kubernetes-xenial.gpg
$ sudo apt-add-repository "deb kubernetes-xenial main"
$ sudo apt update $ sudo apt install -y kubelet kubeadm kubectl

Note : At time of writing this article , Ubuntu 16.04 (Xenial Xerus ) Kubernetes repository was available but in future, when the kubernetes repository is available for Ubuntu 20.04 then replace xenial with focal word in above ‘apt-add-repository’ command.

5) Install Kubernetes Cluster using kubeadm

Login to your master node (k8s-master) and run below ‘kubeadm init‘ command to initialize Kubernetes cluster,

$ sudo kubeadm init --control-plane-endpoint=k8s-master

Once the cluster is initialized successfully, we will get the following output


After the initialization process completes, you’ll see a message containing a ‘kubeadm join’ command. Save this command; we’ll use it later to add worker nodes to the cluster.

In order to interact with cluster as a regular user, let’s execute the following commands, these commands are already there in output just copy paste them.

$  mkdir -p $HOME/.kube
$  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
$  sudo chown $(id -u):$(id -g) $HOME/.kube/config

6) Add Worker Nodes to Kubernetes Cluster

If you want to add worker nodes to your Kubernetes cluster, log in to each worker node and run the ‘kubeadm join’ command you saved from Step 5.

Copy “kubeadm join” command and paste it on both nodes (worker nodes).

$ sudo kubeadm join k8s-master:6443 --token zpjp2j.c0l59zbh4yw9dwfz \
--discovery-token-ca-cert-hash sha256:523b10a16d5d283f45dad330d7b8ede5b628f0e070278c03ead80683fa1b6061


Now, verify the nodes status from the master node,  run “kubectl get nodes” c

$ kubectl get nodes


As we can see both worker nodes and master node have joined the cluster, but status of each node is “NotReady”. To make the status “Ready” we must deploy Container Network Interface (CNI) based Pod network add-ons like calico, kube-router and weave-net. As the name suggests, pod network add-ons allow pods to communicate each other.

7) Deploy Calico Pod Network Add-on

From the master node, run the following command to install Calico pod network add-on,

$ kubectl apply -f


Once it has been deployed successfully then nodes status will become ready, let’s re-run kubectl command to verify nodes status

$ kubectl get nodes
k8s-master   Ready    master   39m   v1.27.4
k8s-node-0   Ready    <none>   19m   v1.27.4
k8s-node-1   Ready    <none>   19m   v1.27.4

Execute below command to verify status of pods from all namespaces


Perfect, above confirms that all the pods are running and are in healthy state. Let’s try to deploy pods, service and deployments to see whether our Kubernetes cluster is working fine or not.

Note: To enable bash completion feature on your master node, execute the followings

$ echo 'source <(kubectl completion bash)' >>~/.bashrc
$ source .bashrc

Read AlsoHow to Setup Kubernetes Cluster on Google Cloud Platform (GCP)

8) Test and Verify Kubernetes Cluster Installation

Let’s create a deployment named nginx-web with nginx container image in the default namespace, run the following kubectl command from the master node,

$ kubectl create deployment nginx-web --image=nginx
deployment.apps/nginx-web created

Run below command to verify the status of deployment

$ kubectl get deployments.apps
nginx-web   1/1     1            1           41s
$ kubectl get deployments.apps  -o wide
nginx-web   1/1     1            1           56s   nginx        nginx    app=nginx-web
$ kubectl get  pods
NAME                         READY   STATUS    RESTARTS   AGE
nginx-web-7748f7f978-nk8b2   1/1     Running   0          2m50s

As we can see that deployment has been created successfully with default replica.

Let’s scale up the deployment, set replicas as 4. Run the following command,

$ kubectl scale --replicas=4 deployment nginx-web
deployment.apps/nginx-web scaled

Now verify status of your deployment using following commands,

$ kubectl get deployments.apps nginx-web
nginx-web   4/4     4            4           13m
$ kubectl describe deployments.apps nginx-web


Above confirms that nginx based deployment has been scale up successfully.

Let’s perform one more test, create a pod named “http-web” and expose it via service named “http-service” with port 80 and NodePort as a type.

Run the following command to create a pod,

$ kubectl run http-web --image=httpd --port=80
pod/http-web created

Create a service using beneath command and expose above created pod on port 80,

$ kubectl expose pod http-web --name=http-service --port=80 --type=NodePort
service/http-service exposed
$ kubectl get service http-service
NAME           TYPE       CLUSTER-IP       EXTERNAL-IP   PORT(S)        AGE
http-service   NodePort   <none>        80:31098/TCP   10s


Get the Node IP or hostname on which http-web pod is deployed and then access webserver via NodePort (31098)

$ kubectl get pods http-web -o wide
http-web   1/1     Running   0          59m   k8s-node-0   <none>           <none>
$ curl http://k8s-node-0:31098
<html><body><h1>It works!</h1></body></html>


Congratulations! You’ve successfully set up a Kubernetes cluster on Ubuntu 20.04. Kubernetes provides a robust foundation for deploying and managing containerized applications, and with your new cluster, you’re ready to explore its full potential.

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I am a Cloud Consultant with over 15 years of experience in Linux, Kubernetes, cloud technologies (AWS, Azure, OpenStack), automation (Ansible, Terraform), and DevOps. I hold certifications like RHCA, CKA, CKAD, CKS, AWS, and Azure.

18 thoughts on “How to Install Kubernetes Cluster on Ubuntu 20.04”

  1. Many thanks, Pradeep. In my environment, there are two amd64 (k8s-master with 16 GB Ram, and k8s-node-0 with 8 GB Ram) and one raspberry pi 3b (k8s-node-1 with 1 GB Ram), all running the latest ubuntu 20.04.2 server 64bit. I succeeded to join k8s-node-0 and running the tasks of your tutorial until the end:
    myname@k8s-master:~$ curl ‘’
    It works!
    But the join command on k8s-node-1 (raspberry pi 3b) did not work:
    ubuntu@k8s-node-1:~$ sudo kubeadm join 192.168.x.y:6443 –token jdxsul… –discovery-token-ca-cert-hash sha256:a2958ee…aeaf2bee4f68
    [preflight] Running pre-flight checks
    [WARNING IsDockerSystemdCheck]: detected “cgroupfs” as the Docker cgroup driver. The recommended driver is “systemd”. Please follow the guide at ‘’
    [preflight] The system verification failed. Printing the output from the verification:
    KERNEL_VERSION: 5.4.0-1028-raspi
    CONFIG_NET_NS: enabled
    CONFIG_PID_NS: enabled
    CONFIG_IPC_NS: enabled
    CONFIG_UTS_NS: enabled
    CONFIG_CGROUPS: enabled
    CONFIG_CPUSETS: enabled
    CONFIG_MEMCG: enabled
    CONFIG_INET: enabled
    CONFIG_EXT4_FS: enabled
    CONFIG_PROC_FS: enabled
    CONFIG_NETFILTER_XT_MATCH_COMMENT: enabled (as module)
    CONFIG_OVERLAY_FS: enabled (as module)
    CONFIG_AUFS_FS: enabled (as module)
    CONFIG_BLK_DEV_DM: enabled
    DOCKER_VERSION: 19.03.8
    OS: Linux
    CGROUPS_CPU: enabled
    CGROUPS_CPUACCT: enabled
    CGROUPS_CPUSET: enabled
    CGROUPS_DEVICES: enabled
    CGROUPS_FREEZER: enabled
    CGROUPS_MEMORY: missing
    CGROUPS_PIDS: enabled
    CGROUPS_HUGETLB: missing
    [WARNING SystemVerification]: missing optional cgroups: hugetlb
    error execution phase preflight: [preflight] Some fatal errors occurred:
    [ERROR SystemVerification]: missing required cgroups: memory
    [preflight] If you know what you are doing, you can make a check non-fatal with `–ignore-preflight-errors=…`
    To see the stack trace of this error execute with –v=5 or higher
    Is it possible to troubleshoot my problem, or should I choose another system?

    • [ERROR SystemVerification]: missing required cgroups: memory. The massage is clear.
      you have a raspberry-pi with 1GB of RAM, you need a minimum of 2GB


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