A comprehensive CI/CD demonstration project showcasing GitHub Actions workflows for continuous integration and continuous deployment. This project serves as a practical example of modern DevOps practices, demonstrating how to automate the entire software development lifecycle from code commit to deployment.
The project features a Flask REST API with automated testing, code quality checks, and multi-environment deployment strategies. The CI pipeline automatically runs tests across multiple Python versions, validates code quality with flake8 and black, and scans for security vulnerabilities. The CD pipeline enables automated deployments to staging and production environments based on branch pushes and version tags.
This project demonstrates real-world DevOps skills including GitHub Actions workflow creation, automated testing pipelines, code quality enforcement, security scanning, and multi-environment deployment strategies. Perfect for showcasing practical CI/CD knowledge and DevOps expertise in a portfolio.
How It Works - CI Pipeline
The Continuous Integration pipeline runs automatically on every push and pull request. It performs multi-version testing across Python 3.10, 3.11, and 3.12, ensuring compatibility. Code quality is enforced through flake8 linting and Black formatting checks. Security scanning with Safety detects vulnerable dependencies. The build process validates that the application compiles correctly. All checks must pass before code can be merged.
How It Works - CD Pipeline
The Continuous Deployment pipeline handles automated deployments to different environments. When code is pushed to the main branch, it automatically deploys to the staging environment for testing. Production deployments are triggered by version tags (e.g., v1.0.0), following semantic versioning practices. Manual deployments are also supported through the GitHub Actions UI, allowing on-demand deployment to either staging or production environments.
Workflow Process
1. Developer Workflow: When a developer pushes code or creates a pull request, the CI pipeline automatically runs tests, checks code quality, and scans for security issues. If all checks pass, the code can be merged.
2. Staging Deployment: Once code is merged to the main branch, the CD pipeline automatically deploys to the staging environment, allowing for integration testing before production release.
3. Production Release: When ready for production, a version tag is created and pushed. The CD pipeline detects the tag and automatically deploys to the production environment, making the application live for end users.
- GitHubhttps://github.com/Abdessamad-Y/CI-CD-Demo-Project
- StackPython, Flask, GitHub Actions, Docker, pytest
- FeaturesCI/CD Pipelines, Automated Testing, Code Quality Checks, Security Scanning, Multi-environment Deployment