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Git CI/CD

? Git CI/CD

? Quick Overview

CI/CD (Continuous Integration and Continuous Deployment) automates the process of integrating, testing, and deploying code. Git plays a key role in CI/CD pipelines, allowing seamless collaboration between teams.

? Key Concepts

  • Continuous Integration (CI): Automatically integrates code changes and runs tests.
  • Continuous Deployment (CD): Automatically deploys code after successful tests.

? Syntax / Theory

CI/CD pipelines are defined using configuration files (commonly YAML) that describe triggers, jobs, and steps for automation.

? Code Example

? View Code Example
# GitHub Actions CI/CD pipeline configuration
    name: CI/CD Pipeline

    on:
    push:
        branches:
        - main

    jobs:
    build:
        runs-on: ubuntu-latest
        steps:
        - name: Checkout code
            uses: actions/checkout@v2

        - name: Set up Node.js
            uses: actions/setup-node@v2
            with:
            node-version: '14'

        - name: Install dependencies
            run: npm install

        - name: Run tests
            run: npm test

        - name: Deploy to production
            run: npm run deploy
            if: success()

? Live Output / Explanation

Pipeline Execution Flow

The pipeline automatically runs when code is pushed to the main branch, installs dependencies, runs tests, and deploys the application if all steps succeed.

? Interactive CI/CD Flow

Code Push → Build → Test → Deploy → Monitor

This flow ensures every change is validated before reaching production.

? Use Cases

  • Automated testing for web and backend applications
  • Continuous deployment of production-ready builds
  • Improved collaboration in team-based projects

? Tips & Best Practices

  • Use small and frequent commits
  • Include automated tests in every pipeline
  • Monitor pipeline performance and failures
  • Keep pipelines fast and reliable

? Try It Yourself

  • Set up a CI/CD pipeline for a Node.js project using GitHub Actions
  • Create a deployment workflow for staging or production
  • Monitor logs and fix pipeline errors