Article 10: CI/CD Fundamentals

Introduction

Continuous Integration and Continuous Delivery (CI/CD) automate the process of testing, building, and deploying your code. Through implementing pipelines for numerous projects, I've learned that good CI/CD isn't just about automationβ€”it's about building confidence in every change.

This article covers GitHub Actions for Python projects, including automated testing, linting, and deployment workflows.

What is CI/CD?

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Term
Description

Continuous Integration

Automatically test and validate every code change

Continuous Delivery

Automatically prepare releases for deployment

Continuous Deployment

Automatically deploy every passing change

Benefits

  • Catch bugs early - Tests run on every push

  • Consistent quality - Same checks for every change

  • Faster feedback - Know if your code works in minutes

  • Reduced manual work - No manual testing or deployment

  • Documentation - Pipeline shows what's needed to ship

GitHub Actions Basics

Workflow Structure

Triggers

Basic Python Workflow

Comprehensive CI Pipeline

Full Python CI Workflow

Matrix Testing

Caching and Optimization

Dependency Caching

Parallel Jobs

Secrets and Environment Variables

Using Secrets

Environment Configuration

Deployment Workflows

Deploy on Release

Deploy to Cloud Platforms

Workflow Patterns

Reusable Workflows

Conditional Jobs

Pull Request Workflows

PR Checks

Auto-merge Dependabot PRs

Practical Exercise

Exercise 1: Create a Complete CI Pipeline

Create a CI workflow that:

  1. Runs linting (Ruff)

  2. Runs tests with coverage

  3. Checks types with mypy

  4. Builds the package

  5. Publishes to PyPI on release

Exercise 2: Add Branch Protection

Configure branch protection rules for main:

  • Require status checks to pass

  • Require pull request reviews

  • Require up-to-date branches

CI/CD Best Practices

Do's

  • βœ… Run tests on every PR

  • βœ… Cache dependencies

  • βœ… Use matrix testing for multiple versions

  • βœ… Keep secrets in GitHub Secrets

  • βœ… Use environment protection rules

  • βœ… Fail fast on obvious issues

Don'ts

  • ❌ Store secrets in code

  • ❌ Skip tests for "small changes"

  • ❌ Deploy without tests passing

  • ❌ Use overly complex workflows

  • ❌ Ignore flaky tests

Key Takeaways

  1. Automate everything - If you do it twice, automate it

  2. Fast feedback - Run quick checks first

  3. Test on multiple versions - Matrix builds catch compatibility issues

  4. Secure your secrets - Use GitHub Secrets, never commit credentials

  5. Progressive deployment - Stage β†’ Production with approvals

What's Next?

With CI/CD automating your quality checks, let's focus on human collaboration. In Article 11: Code Review Practices, we'll cover effective code review strategies and PR workflows.


This article is part of the Software Engineering 101 series.

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