Setting Up a Test/Learning Kubernetes Cluster. Module 1. Lesson 1.5 of the CKA certification.
Introduction:
Containers have revolutionized software development. Unlike traditional virtual machines, such as VMware or VirtualBox, containers allow for more efficient packaging of applications, ensuring their portability and reliability across different environments.
Why is it important to have a local cluster?
If your goal is to get certified in Kubernetes or deploy a cluster in your company, practice is essential. One of the best ways to do this is by setting up your own testing environment.
Initial considerations and prerequisites:
In this tutorial, I’ll show you how to configure a Kubernetes cluster with a Master node and two Worker nodes in a virtual machine using VirtualBox. Since Kubernetes is designed to run natively in Linux environments, I recommend installing VirtualBox on your machine and using a Linux operating system as the host. Although it's possible to install Kubernetes on Windows, running the cluster from Linux optimizes performance and hardware usage.
Prerequisites:
- A computer with at least 8 GB of RAM (recommended) to support multiple virtual machines.
- An internet connection to download the necessary images.
- Basic knowledge of handling the terminal in Linux.
Procedure:
Step A: Installing VirtualBox on Linux
Content:
- Installing VirtualBox on Linux.
- Basic VirtualBox configuration to create an optimal environment for Kubernetes.
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Step B: Installing and configuring the cluster's main node (Master)
In this step, we’ll install a Kubernetes Master node, which will act as the brain of the cluster, managing task scheduling, network control, and the management of the PODS' state.
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Step C: Installing and configuring a worker node
A Kubernetes cluster is not complete without worker nodes. These are responsible for running the workloads deployed in the cluster. Here, I’ll show you how to add your first Worker node.
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Step D: Cloning a second worker node for high availability
To test high availability (HA) scenarios, we will clone a second Worker node. This will allow you to simulate failures and see how Kubernetes manages service continuity.
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Other alternative tools for local clusters, which we will develop soon:
- Minikube: The most popular option for individual users.
- Kind: Lightweight and fast for unit tests.
- Docker Desktop: Native integration with Kubernetes.
- Other options: MicroK8s, K3s, K0s, etc.
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