simple-http-checker 2.1.1

A simple CLI tool to check the status of URLs.

Python for DevOps: CI/CD for Python Projects

This repository contains the complete CI/CD implementation for the CI/CD section of my Python for DevOps: Mastering Real-World Automation course. Here, you'll learn how to build a robust, automated pipeline for Python projects using GitHub Actions. Make sure to join the course to learn comprehensive Python automation skills for DevOps and infrastructure management!

➡️ Course link (with a big discount 🙂): https://www.lauromueller.com/courses/python-devops

Note: Here is the link to the main code repository for the course: https://github.com/lm-academy/python-devops

Check my other courses:

• 👉 The Definitive Helm Course: From Beginner to Master
• 👉 Mastering Terraform: From Beginner to Expert
• 👉 Mastering GitHub Actions: From Beginner to Expert
• 👉 The Complete Docker and Kubernetes Course: From Zero to Hero
• 👉 Write better code: 20 code smells and how to get rid of them

🎯 Project Overview

This project demonstrates a complete CI/CD pipeline for a Python package called Simple HTTP Checker - a command-line tool for checking HTTP endpoint availability. Through this hands-on example, you'll learn modern Python development practices and automated deployment workflows.

✅ What we implement in this repository

• Implement the project (code files) - Complete Python package with proper structure
• Add a simple GHA workflow - Basic GitHub Actions setup and execution
• Add linting (ruff) and format checks (black) - Code quality automation
• Add typing (mypy) and security checks (bandit) - Static analysis and security scanning
• Add test automation - Comprehensive test suite with pytest
• Build our Python project - Automated package building
• Publish the project to both TestPyPI and PyPI - Automated package publishing on releases

📚 Learning Objectives

Through this project, you'll master:

• Modern Python packaging with pyproject.toml
• GitHub Actions for CI/CD automation
• Code quality tools (Black, Ruff, MyPy, Bandit)
• Automated testing with pytest
• Package publishing to PyPI repositories
• Release management with Git tags and GitHub releases