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Labs

Install and Configure Kubernetes

In this lab, you’ll practice the installation and basic configuration of a Kubernetes cluster. When you’re finished, you’ll have set up a Kubernetes cluster. Furthermore you have the configuration ready to deploy your first test application running on this cluster.

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Lab platform
Lab Info
Rating
(232)
Level
Beginner
Last updated
Aug 04, 2025
Duration
1h 10m

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Table of Contents
  1. Challenge

    Getting Started in the Lab Environment

    Here are the initial instructions and explanation of the lab environment. Read this while your environment is busy creating itself from nothing. Yes, this violates physics; we know. How fun!

  2. Challenge

    Receive Kubernetes Init Information

    To start the lab, you'll get the kubeadm init information that is necessary to join a worker node to the cluster. Time to dive in!

  3. Challenge

    Join a Worker Node to Your K8s Cluster

    In this challenge, you'll join a worker node to the kubernetes cluster you set up in the previous challenge.

  4. Challenge

    Assign Role to Worker Node and Create Namespace

    You'll now first assign a role to the worker node, and will then create a Kubernetes namespace to use it for your workloads later on!

  5. Challenge

    Run an Application on Your Kubernetes Cluster

    In this challenge you will create a yaml manifest and apply it to the control-plane. You use this manifest to create and run the first application on your cluster!

  6. Challenge

    Scale the Nginx Deployment to Two Replicas

    Now that you've successfully deployed nginx, you will explore Kubernetes scalability by expanding the deployment to handle more traffic. In this challenge, you'll scale your nginx deployment to two replicas.

  7. Challenge

    The Last Challenge

    Welcome to the final challenge! This is your last chance to experiment in the environment. Clicking Finish Lab will end this little world that flittered into existence just for you.

About the author

Senior Consultant and IT Instructor with focus on automating on-premise and public cloud environments, as well as Kubernetes clusters.

Real skill practice before real-world application

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