Cursor

mode

Drag

Support center +1-720-229-5567

Awesome Image Awesome Image

Latest News V2 December 12, 2022

Using GitHub Actions to Build a CI/CD Pipeline: A Comprehensive Guide

Writen by Patrick Ortell

comments 0

Using GitHub Actions to Build a CI/CD Pipeline: A Comprehensive Guide

Continuous Integration and Continuous Delivery (CI/CD) are essential processes in modern software development, enabling teams to streamline their workflows, reduce errors and build high-quality software at scale. In this blog post, we’ll explore how to use GitHub Actions to build a CI/CD pipeline, step-by-step, and provide detailed code examples and best practices.

Getting Started: Setting

Up the GitHub Workflow

The first step in building a CI/CD pipeline with GitHub Actions is to define the workflow that automates the build, test, and deployment process. A workflow is a set of instructions that define how the pipeline should run, including which events trigger the pipeline, which jobs are executed, and what actions are taken.

Here’s an example of a simple GitHub workflow that runs a test suite when a pull request is opened:

name: CI

on:
  pull_request:
    branches: [master]

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout code
      uses: actions/checkout@v2
      
    - name: Setup Node.js
      uses: actions/setup-node@v1
      with:
        node-version: '12.x'
        
    - name: Install dependencies
      run: npm install
      
    - name: Run tests
      run: npm test

This workflow defines a job named build, which runs on the ubuntu-latest operating system, checks out the code, installs the dependencies, and runs the test suite. The on section defines the event that triggers the workflow, in this case, when a pull request is opened on the master branch.

Configuring the Deployment Environment

Once the tests have passed, it’s time to deploy the application to the production environment. This involves setting up the deployment environment, which includes configuring the servers, installing dependencies, and running the application.

Here’s an example of a simple GitHub workflow that deploys a Node.js application to a production server using SSH:

name: Deploy

on:
  push:
    branches: [master]

jobs:
  deploy:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout code
      uses: actions/checkout@v2
      
    - name: Setup SSH
      uses: webfactory/ssh-agent@v0.4.0
      with:
        ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }}
        
    - name: Install dependencies
      run: npm install
      
    - name: Build application
      run: npm run build
      
    - name: Deploy application
      run: ssh user@server "cd /var/www/app && git pull && npm install && npm run restart"

This workflow defines a job named deploy, which runs on the ubuntu-latest operating system, checks out the code, sets up the SSH key, installs the dependencies, builds the application, and deploys it to the server. The on section defines the event that triggers the workflow, in this case, when a push is made to the master branch.

Testing the Pipeline

Once the deployment is complete, it’s important to test the pipeline to ensure that everything is working as expected. This involves testing the application in the production environment, monitoring the performance, and verifying the results.

Here’s an example of a simple GitHub workflow that tests the production environment using a browser automation tool:

name: End-to-End Tests

on:
  pull_request:
    branches: [master]

jobs:
  test:
    runs-on: ubuntu-l

Tags :