How to properly deploy a Kubernetes cluster on Ubuntu Server

How to properly deploy a Kubernetes cluster on Ubuntu Server

If you’re looking for the easiest method of deploying a Kubernetes cluster on Ubuntu, Microk8s is the way. Find out how.

A developer using Microk8s to deploy a Kubernetes cluster.
Image: Seventyfour/Adobe Stock

There’s no question Kubernetes is hard. Even from the very beginning, deploying a Kubernetes cluster can be a challenge for many IT pros. Fortunately, there’s a tool that makes this considerably easier, especially when you’re dealing with Ubuntu Server as the hosting platform. That tool is Microk8s, and I’m going to walk you through the way I deploy a Kubernetes cluster with regular success.

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The process isn’t that challenging, but you do have to take all the necessary steps, because if you skip anything, the cluster will not work. With that said, let’s get to the deployment.

What you’ll need to deploy Kubernetes with Microk8s

To successfully deploy a Kubernetes cluster with Microk8s, you’ll need the following:

  • At least three instances of Ubuntu Server running.
  • A user with sudo privileges on all nodes.

That’s it. Let’s get to work.

How to set the proper timezone

The first thing we must do is set the proper timezone on all three nodes. I discovered this the hard way after attempting a deployment on three machines without realizing the proper timezone hadn’t been set. Without the proper timezone, the nodes cannot join the controller.

To set the timezone, log into the first node and issue the command:

timedatectl list-timezones

From that list, locate your timezone, such as America/New_York. To set that timezone, issue the command:

sudo timedatectl set-timezone America/New_York

Make sure to substitute America/New_York for your timezone, and make sure to do the above on all nodes that will be a part of your cluster.

How to set the hostname for each node

We’ll now set the hostname for each node. I’m going with k8s1, k8s2 and k8s3. The command to set the hostname looks like this:

sudo hostnamectl set-hostname k8s1

Once you’ve run the command, log out and log back in so the change takes effect. Make sure to run that command, substituting the name of each node, on all machines that will be part of the cluster.

How to configure the hosts file

Next, we need to configure the hosts file on all nodes. Let’s say your address mapping looks like this:

192.168.1.70 k8s1
192.168.1.71 k8s2
192.168.1.72 k8s3

Open the hosts file with the command:

sudo nano /etc/hosts

Add the above address mapping, substituting your IP addresses and hostnames, at the bottom of the file. Save and close the file.

How to install Microk8s

This is where I’ve discovered other issues. The most recent version of Microk8s I’ve successfully been able to cluster is 1.24. To install Microk8s version 1.24, the command would be:

sudo snap install microk8s --channel=1.24/stable --classic

Make sure to run the above command on all nodes.

How to join the nodes to the cluster

On the controller, which would be k8s1 in the above configuration, issue the command:

microk8s add-node

The above command will return the joining instructions for all of your nodes. Those instructions will include a command like this:

microk8s join 192.168.1.70:25000/b72da5f131d0aa09cbeaa9712cd865f5/5786c9b72085

You must then issue the above on all other nodes. Once you’ve successfully run the join command on all nodes, go back to the controller and check for the status with the command:

microk8s kubectl get nodes

You should see something like this in the output:

k8s1   Ready    <none>   24h   v1.24.8-2+1dda18a15eea38
k8s2   Ready    <none>   24h   v1.24.8-2+1dda18a15eea38
k8s3   Ready    <none>   24h   v1.24.8-2+1dda18a15eea38

Your cluster is ready

That’s all there is to deploy a Kubernetes cluster with Microk8s. Make sure to take all of the above steps to avoid a failed cluster deployment. With the cluster ready, you can now start deploying your pods and enjoying the power of Kubernetes.

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