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Page last updated May 24, 2025
Running apps manually is fine for testing, but to manage real applications, you need CI/CD β Continuous Integration and Continuous Deployment.
In this lesson, youβll learn how to automate deployment to your K3s cluster using tools like GitHub Actions, kubectl, and GitOps platforms such as ArgoCD or Flux.
A typical CI/CD pipeline for K3s:
kubectl apply
To allow GitHub Actions to deploy, save your ~/.kube/config from your master node, base64-encode it:
~/.kube/config
cat ~/.kube/config | base64 -w 0
Add it as a GitHub Secret (e.g., KUBECONFIG_B64).
KUBECONFIG_B64
name: Deploy to K3s on: push: branches: - main jobs: deploy: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v3 - name: Set up kubectl run: | echo "$" | base64 -d > kubeconfig export KUBECONFIG=$PWD/kubeconfig kubectl version --client - name: Apply manifests run: | kubectl apply -f k8s/
Your repo should have a k8s/ folder with Kubernetes manifests.
k8s/
GitOps tools automatically sync your cluster with a Git repository.
kubectl create namespace argocd kubectl apply -n argocd \ -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml
Access ArgoCD UI:
kubectl port-forward svc/argocd-server -n argocd 8080:443
Default login:
admin
kubectl get secret argocd-initial-admin-secret -n argocd -o jsonpath="{.data.password}" | base64 -d
Connect your Git repo and ArgoCD will deploy automatically on changes.
You now know how to:
Next up: Advanced Networking & CNI
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