Deploy to kubernetes cluster with github workflow
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Introduction
In the rapidly evolving landscape of software development, deploying applications efficiently and reliably is essential. Kubernetes has emerged as the de facto standard for container orchestration, providing robust solutions for deploying applications at scale. GitHub, a platform primarily known for source code hosting, also provides intricate workflows to facilitate Continuous Integration and Continuous Deployment (CI/CD). This article dives deep into leveraging GitHub Actions for deploying applications to a Kubernetes cluster, ensuring a seamless integration from code commit to production deployment.
Overview
Deploying to a Kubernetes cluster using GitHub Actions involves several key components:
- Source Code: The application source code hosted on GitHub.
- Docker: Containerizing the application.
- Kubernetes Cluster: The target environment for deployment.
- GitHub Actions: Automating the build, test, and deployment workflows.
- Secrets Management: Handling sensitive data like authentication tokens.
Prerequisites
Before we delve into the process, ensure you have:
- A running Kubernetes cluster (e.g., on AWS, GCP, Azure, or a local minikube).
- A GitHub repository containing your application source code.
- Docker installed for building container images.
- Basic knowledge of Kubernetes concepts like Pods and Deployments.
- Access to kubectl and kubeconfig correctly configured to access your Kubernetes cluster.
Setting Up GitHub Actions for Deployment
GitHub Actions allows you to automate workflows directly from your GitHub repository. Here's how to set it up for deploying to a Kubernetes cluster:
- Create a New Workflow: In your GitHub repository, navigate to the "Actions" tab and set up a new workflow. Use the `.github/workflows` directory for your workflow files.
- Define a Docker Build Step: Write a Dockerfile in your repository's root directory. For simplicity, consider a Node.js application:
- uses: actions/checkout@v2
- name: Set up Docker Buildx
- name: Build and push Docker image
- name: Checkout code
- name: Set up kubectl
- name: Deploy to Kubernetes
- name: my-app
- containerPort: 80
- `DOCKER_USERNAME`: Your Docker Hub username.
- `DOCKER_PASSWORD`: Your Docker Hub password.
- Any other required secrets (e.g., Kubernetes credentials).
Related reading
- Deploying a kubernetes pods after a job is completed - helm
- Deploying GitLab on Minikube
- Deploying Ingress Nginx Controller ELB in EKS Cluster with multiple nodes
- Deploying local Docker image DockerFIle as local Kubernetes pod
- Deploying a minimal flask app in docker - server connection issues
- Deploying Java webapp to Tomcat 8 running in Docker container
- Describe your workflow of using version control VCS or DVCS
- Detach move subdirectory into separate Git repository

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System Design practice on Codemia
Work through 120+ system design problems with detailed solutions, from rate limiters to multi-region storage.