Step-by-Step Guide: Installing Kubernetes Cluster on CentOS 8
Published: 2024-01-26 01:19:51

Kubernetes, an open-source platform for managing containerized workloads, is a powerful tool that automates the deployment, scaling, and management of containerized applications. If you're looking to harness the benefits of Kubernetes on CentOS 8, follow this comprehensive guide to install a Kubernetes cluster step by step.

## What is Kubernetes?

Kubernetes is an open-source platform designed to manage containerized workloads and services. It automates various aspects of deploying, scaling, and managing containerized applications across diverse environments, including physical, virtual, and cloud-based infrastructures.

## Prerequisites

Before embarking on the installation process, ensure you have the following prerequisites in place:

- A CentOS 8 server with a minimum of 2GB RAM and 2 CPUs.
- Root access to the server.
- Docker installed on the server.

## Basic command line proficiency.

## Step 1: Update the System

Keep your system up to date by running:

```
sudo yum update
```

This command ensures that all packages on your CentOS 8 server are current.

## Step 2: Install Kubernetes and its Dependencies

Install the necessary Kubernetes components using the following command:

```
sudo yum install -y kubelet kubeadm kubectl
```

This installs kubelet, kubeadm, and kubectl, the essential components for a Kubernetes cluster.

## Step 3: Disable SELinux and Swap

Disable SELinux and swap on your server with the following commands:

```
sudo setenforce 0
sudo sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config
sudo swapoff -a
sudo sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab
```

Disabling SELinux is necessary to prevent interference with Kubernetes.

## Step 4: Initialize the Cluster

Initiate the Kubernetes cluster with the specified pod network CIDR:

```
sudo kubeadm init --pod-network-cidr=10.244.0.0/16
```

This command initializes the Kubernetes cluster and sets the pod network CIDR.

## Step 5: Set Up Your User

Set up your user to access the Kubernetes cluster:

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

These commands create the necessary directories and configuration files for your user.

## Step 6: Install a Pod Network

Install a pod network for communication between pods:

```
sudo kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
```

This command installs the Flannel pod network.

## Step 7: Join Nodes to the Cluster

On worker nodes, join them to the cluster by running the command generated during master node initialization:

```
sudo kubeadm join <master_node_ip>:<port> --token <token> --discovery-token-ca-cert-hash <hash>
```

Replace placeholders with your master node's IP, port, token, and hash.

## Step 8: Verify the Cluster

On the master node, verify that the Kubernetes cluster is running:

```
sudo kubectl get nodes
```

This command displays a list of all nodes in the cluster.

Additional Steps for Advanced Configuration
Enhance your Kubernetes cluster with advanced configurations:

- Set Up Persistent Storage: Enable persistent storage for applications by configuring storage classes and persistent volume claims.

- Configure Load Balancing: Improve performance and scalability by setting up load balancing for multiple worker nodes.

- Enable RBAC: Enhance security by enabling Role-Based Access Control (RBAC) to control user access to the Kubernetes API.

- Install Monitoring and Logging Tools: Monitor your cluster's health and performance by installing tools like Prometheus and Grafana.


## Conclusion

Congratulations! You've successfully installed a Kubernetes cluster on CentOS 8. Kubernetes brings unparalleled efficiency to managing applications and infrastructure. Explore additional configurations and troubleshooting steps to fully harness the power of Kubernetes for your containerized workloads. Your cluster is now ready to deploy and scale containerized applications seamlessly.