How to Use GitHub Actions for Kubernetes CLI (kubectl)

Jan 4, 2024 | Programming

Are you looking for an efficient way to manage Kubernetes deployments directly from your GitHub Actions? If so, the GitHub Action for kubectl could be exactly what you need! In this article, we will walk you through upgrading from version 1 to version 2, how to set it up, and troubleshoot common issues.

Upgrading from v1 to v2

When upgrading from version 1 to version 2, it’s important to note that you now need to specify new variables via the `with` keyword. These include version, config, and command.

Setting Up Your Workflow

Let’s see how you can configure your GitHub Actions workflow file (`push.yml`) for deploying your application to a Kubernetes cluster:

on: push
name: deploy
jobs:
  deploy:
    name: deploy to cluster
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@master
    - name: deploy to cluster
      uses: steebchen/kubectl@v2.0.0
      with:
        config: ${{ secrets.KUBE_CONFIG_DATA }}
        command: set image --record deployment/my-app container=${{ github.repository }}:${{ github.sha }}
    - name: verify deployment
      uses: steebchen/kubectl@v2.0.0
      with:
        config: ${{ secrets.KUBE_CONFIG_DATA }}
        version: v1.21.0
        binaries-url: https://dl.k8s.io/release/v1.21.0/bin/linux/amd64/kubectl
        command: rollout status deployment/my-app

Understanding the Code: An Analogy

Think of your GitHub Actions workflow as a chef preparing a gourmet meal. Each step in the workflow is akin to a different cooking action that needs to be executed in order to create the finished dish. Here’s how the analogy works:

  • actions/checkout@master: This is like gathering your ingredients from the pantry. You need to ensure all necessary items are ready for cooking.
  • deploy to cluster: Imagine this step as the main cooking phase, where you combine all your ingredients together in a precise manner to create a delightful recipe—similarly, you’re deploying your application to the Kubernetes cluster.
  • verify deployment: After cooking, it’s crucial to taste your meal. This step checks if the deployment succeeds by monitoring its status.

Arguments Explained

In this action configuration, you must include the following arguments:

  • command: The command you want to run, omitting the “kubectl” prefix. For example, you can use “get pods” to fetch your pods’ status.
  • config: A base64-encoded kubeconfig file containing your credentials to access your Kubernetes cluster. You can obtain this by executing the command:
  • cat $HOME/.kube/config | base64
  • version: Specify the kubectl version with a “v” prefix, for example, “v1.21.0”.
  • binaries-url: The direct download URL for the binaries, defaults to the official page if not supplied.

Troubleshooting Common Issues

While using the GitHub Action for kubectl, you might face a few common problems. Here are some solutions:

  • Issue: Deployment Fails
    Ensure that your kubeconfig file is correctly configured and that you have the necessary permissions.
  • Issue: Invalid Command
    Double-check the commands you are using; they should be valid kubectl commands without the “kubectl” prefix.
  • Issue: Binaries Not Downloading
    Make sure that the binaries URL is correct, and ensure you specify the version accurately.

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Conclusion

By following the steps outlined above, you can effectively utilize GitHub Actions for deploying your applications to Kubernetes clusters. As you get accustomed to the upgraded version, keep exploring the possibilities of automation in your CI/CD pipeline.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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