/python-for-devops

A hands-on Python DevOps toolkit built for automation, cloud workflows, and CI/CD pipelines. From shell scripting to API integration, this repo demonstrates real-world use cases for platform engineers and full-stack developers.

PYTHON FOR DEVOPS 🐍🛠️

Welcome to PYTHON FOR DEVOPS 💻 repository!

This course is designed to equip you with essential Python skills tailored for DevOps practices.

Follow along and level up your DevOps game! 🚀

Contents

Python Basics 🔄

  • 🔄 Introduction to Python - Overview of Python and its significance in DevOps.
  • 🐍 Python Syntax and Data Types - Getting familiar with Python syntax, data types, and variables.
  • 🌐 Working with Files and Directories - Handling files and directories using Python.
  • 🧠 Control Flow and Loops - Understanding control structures and loops in Python.
  • 🛠️ Functions and Modules - Writing reusable code with functions and modules.

Exercise: Write a Python script showcasing the use of python datatypes, handling files, control flow loops, functions & modules.

Networking and Automation 🌐

  • 📡 Networking Basics - Introduction to networking concepts and protocols.
  • 🖥️ Automating Tasks with Python - Using Python for basic automation tasks.
  • 📊 JSON Manipulation - Parsing and manipulating JSON data in Python.
  • 📦 Working with APIs - Making HTTP requests and interacting with RESTful APIs.

Exercise: Develop a Python script to automate port scanning for a list of IP addresses.

Databases and Integration 🗃️

  • 📋 Database Basics - Understanding databases and relational models.
  • 🐘 Connecting to PostgreSQL - Interacting with PostgreSQL databases using Python.
  • 🔍 SQL Queries with Python - Executing SQL queries and managing data with Python.
  • 🐍 ORM with SQLAlchemy - Exploring Object-Relational Mapping using SQLAlchemy.
  • 📡 Integrating Python with Web Services - Interacting with web services using Python.

Exercise: Build a Python script that interacts with a database to manage user information.

DevOps Tools with Python 🛠️

  • 🐬 Introduction to Docker - Getting started with Docker and containerization.
  • 🚀 Docker Automation with Python - Automating Docker tasks using Python.
  • ⚙️ Ansible and Python - Using Python with Ansible for configuration management.
  • 🚢 Kubernetes and Python - Interacting with Kubernetes clusters using Python.
  • 🛡️ CI/CD Automation - Automating CI/CD pipelines with Python.

Exercise: Create a Python script to automate the deployment of a multi-container application.

Monitoring and Scaling 📊

  • 📊 Monitoring with Prometheus - Introduction to Prometheus for system monitoring.
  • 📜 Log Management with ELK Stack - Centralized log management with Elasticsearch, Logstash, and Kibana.
  • ⚙️ Infrastructure Scaling - Strategies for scaling infrastructure and applications.
  • ☁️ Cloud Services Integration - Integrating Python with cloud services for automation.
  • 🚦 CI/CD Best Practices - Exploring best practices for CI/CD pipelines.

Exercise: Configure Prometheus to monitor a sample application and visualize the data in Grafana.

DevOps Culture and Case Studies 🏢

  • 👥 DevOps Culture and Collaboration - Emphasizing collaboration, communication, and shared responsibility within DevOps teams.
  • 🔄 Continuous Improvement - Implementing continuous improvement practices in DevOps.
  • 🌐 Case Studies - Examining real-world DevOps success stories and lessons learned.
  • 🚀 Final Project - Design and implement a complete DevOps pipeline for a sample application using Python.

Final Exercise: Present and demonstrate your final project, explaining how each component works together in the DevOps pipeline.

Happy coding! 🚀🐍