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Exploring K3S on Docker using K3D

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In this post, I’ll show you how to start with on Docker. I hope this post will help you quickly set up and understand K3D. Let’s dive in!






What is K3S?



Before starting with K3D we need to know about K3S. Developed by



Here’s why K3D is popular:




  • Ease of Use: Quickly spin up and tear down clusters with simple commands.


  • Resource Efficiency: Run multiple clusters on a single machine without significant overhead.


  • Development Focus: Perfect for local development, CI/CD pipelines, and testing.




Let’s move on to how to set up K3D and start using it.






Requirements



Before starting with K3D, make sure you have installed the following prerequisites based on your operating system.





  • Docker



    Follow the Docker . Or you can follow this step:


    CODE
    $ curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
    $ sudo install kubectl /usr/local/bin/kubectl
    $ kubectl version --client

    Client Version: v1.32.0
    Kustomize Version: v5.5.0




  • K3D



    Install K3D by referring the






    Conclusion



    K3D simplifies the process of running Kubernetes clusters with K3S on Docker, making it ideal for local development and testing. By setting up essential tools like Docker, kubectl, and K3D, you can easily create and manage clusters. You can deploy applications with just a few commands, expose them, and access them locally. K3D offers a flexible and lightweight solution for Kubernetes, allowing developers to experiment and work with clusters in an efficient way.



    Thank you for taking the time to read this guide. I hope it was helpful in getting you started with K3D and Kubernetes!😀

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