README.md

Pythoneers Kubernetes Workshop

This workshop is designed to give you a basic understanding of Kubernetes and how to deploy a simple python application using Kubernetes.

Table of Contents

• Pythoneers Kubernetes Workshop
  • Table of Contents
  • Prerequisites
    • Kubernetes CLI
    • A Kubernetes Cluster
      • Create a Kubernetes cluster using Docker Desktop
      • Create a Kubernetes cluster using Podman Desktop (Kind)
    • Verify your setup
  • The exercises

Prerequisites

There are some prerequisites that you need to have installed on your machine before you can start with the workshop.

1. The Kubernetes CLI (kubectl)
2. A Kubernetes Cluster (Docker Desktop or Podman Desktop (Kind))

Kubernetes CLI

To install the Kubernetes CLI, follow the instructions on the official Kubernetes documentation: [https://kubernetes.io/docs/tasks/tools/#kubectl]

A Kubernetes Cluster

Choose one of the following options to create a Kubernetes cluster on your machine:

Create a Kubernetes cluster using Docker Desktop

• Download Docker desktop: [https://www.docker.com/products/docker-desktop/]
• In the Docker Desktop settings, go to the Kubernetes tab
• Check the box to enable Kubernetes and click the "Apply & Restart" button in the bottom right corner

Create a Kubernetes cluster using Podman Desktop (Kind)

• Download Podman desktop: [https://podman-desktop.io/]
• Open Podman Desktop and download Podman in the dashboard and make sure it is running:
• Next, download the Kind CLI [https://kind.sigs.k8s.io/docs/user/quick-start/#installation]
• Thereafter, go to the settings in Podman Desktop and create a new kind cluster
• Now click on "create" to create a cluster

Verify your setup

You should be able to run the following commands in your terminal:

kubectl version

docker version

or

podman version

Check if you have a running Kubernetes cluster running the following command:

kubectl get nodes

A node called docker-desktop or kind-control-plane should be listed or similar.

The exercises

The workshop is divided into three parts:

• Part 1: Pods and Deployments
• Part 2: Services and ConfigMaps & Secrets
• Part 3: Statefulness and persistance