https://github.com/techiescamp/python-for-devops
Python for DevOps repo with useful python scripts to learn and implement in your day-to-day devops automation tasks.
https://github.com/techiescamp/python-for-devops
boto3 devops devops-automation devops-scripts python python-for-devops python-scripts python3 scripting
Last synced: 4 days ago
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Python for DevOps repo with useful python scripts to learn and implement in your day-to-day devops automation tasks.
- Host: GitHub
- URL: https://github.com/techiescamp/python-for-devops
- Owner: techiescamp
- Created: 2022-08-20T10:17:18.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-03-27T05:48:47.000Z (20 days ago)
- Last Synced: 2025-04-04T13:41:43.145Z (11 days ago)
- Topics: boto3, devops, devops-automation, devops-scripts, python, python-for-devops, python-scripts, python3, scripting
- Language: Python
- Homepage: https://devopscube.com/python-for-devops/
- Size: 28.3 KB
- Stars: 430
- Watchers: 11
- Forks: 340
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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- my-awesome-github-stars - techiescamp/python-for-devops - Python for DevOps repo with useful python scripts to learn and implement in your day-to-day devops automation tasks. (Python)
README
# Python for DevOps: 8-Week Learning Roadmap
If you want to understand the importance of python for DevOps, please read the [detailed python for DevOps guide](https://devopscube.com/python-for-devops/).
## 📌 Overview
This roadmap is designed to help DevOps Engineers and Platform Engineers master Python for automation, cloud operations, infrastructure as code, and Kubernetes. The curriculum includes hands-on projects that mimic real-world DevOps tasks using industry tools like Docker, Terraform, Kubernetes, and CI/CD pipelines.
By the end of this roadmap, you'll:
- Automate repetitive tasks with Python
- Work with cloud APIs and infrastructure automation
- Build Python-based DevOps tools and microservices
- Deploy containerized apps with Docker and Kubernetes
- Use AI-powered tools like LlamaIndex & GenAI for DevOps
- Be fully prepared for Python-based DevOps interviews
## 👨💻 Python Learning Resources
If you are looking for a guided way to learn Python from scratch., I recommend the following resources.
1. [learnpython.org](https://www.learnpython.org/)
2. [Learn Python 3 from Scratch](https://www.educative.io/courses/learn-python-3-from-scratch?aff=KNLz)
3. [Python for Beginners – Full Video Course](https://www.youtube.com/watch?v=eWRfhZUzrAc)
## 🚀 Week 1: Python Fundamentals for DevOps
### 🎯 Goal: Learn the basics of Python for scripting and automation.
✅ Python syntax, variables, loops, functions, and error handling
✅ Working with files (reading, writing, and parsing logs)
✅ Interacting with OS processes (`subprocess`, `os` modules)
✅ Installing and managing packages with `pip` and `venv`
**🔨 Hands-on Project:**
- Write a Python script to automate log parsing from `/var/log/` and extract useful insights.
- Create a script that monitors CPU & memory usage using the `psutil` library.
## 🛠 Week 2: Automating DevOps Tasks with Python
### 🎯 Goal: Automate daily DevOps operations.
✅ Working with APIs (`requests` library for REST APIs)
✅ Automating SSH tasks (`paramiko` for remote execution)
✅ Automating cloud operations with AWS/GCP SDKs (`boto3` and `google-cloud-sdk`)
✅ Writing CLI tools with `argparse`
**🔨 Hands-on Project:**
- Build a Python script that automates AWS EC2 instance management (start, stop, terminate instances).
- Create a CLI tool that checks the status of Kubernetes pods using `kubectl` and `subprocess`.
## 🐳 Week 3: Docker & Python for Containerized Applications
### 🎯 Goal: Learn to containerize Python applications for DevOps automation.
✅ Writing Dockerfiles for Python apps
✅ Running Python scripts inside containers
✅ Docker Compose for multi-container apps
✅ Working with Python SDK for Docker (`docker-py`)
**🔨 Hands-on Project:**
- Build a Python script to manage Docker containers (start, stop, restart, delete containers).
- Create a Flask API that returns system metrics (CPU, RAM) and deploy it in a Docker container.
## 🔧 Week 4: Infrastructure as Code (IaC) with Python
### 🎯 Goal: Automate infrastructure provisioning with Python.
✅ Terraform automation with Python (`python-terraform`)
✅ Working with Ansible and Python (`ansible-runner`)
✅ Writing Python scripts to automate Kubernetes YAML generation
✅ Using `Fabric` for remote automation
**🔨 Hands-on Project:**
- Write a Python script that provisions AWS infrastructure (VPC, EC2, S3) using Terraform.
- Automate Ansible playbook execution using Python.
## ☸️ Week 5: Kubernetes Automation with Python
### 🎯 Goal: Automate Kubernetes operations using Python.
✅ Working with Kubernetes Python SDK (`kubernetes` library)
✅ Managing Kubernetes objects dynamically with Python
✅ Writing Admission Webhooks in Python
✅ Automating Helm deployments with Python
**🔨 Hands-on Project:**
- Write a Python script that dynamically creates and deletes Kubernetes namespaces.
- Build a Mutating Admission Webhook to enforce security policies in a cluster.
## 🔍 Week 6: Python for Security & Monitoring in DevOps.
### 🎯 Goal: Secure infrastructure and monitor logs with Python.
✅ Parsing and analyzing logs (`loguru`, `logging`)
✅ Security automation (checking misconfigurations with `PyInfra`)
✅ Python for **SIEM (Security Information & Event Management)**
✅ Automating RBAC checks for Kubernetes
**🔨 Hands-on Project:**
- Build a tool that checks Kubernetes RBAC permissions and finds over-privileged service accounts.
- Automate security scanning of container images using Trivy and Python.
## 🤖 Week 7: GenAI & LlamaIndex for DevOps
### 🎯 Goal: Use AI for DevOps workflows with Python.
✅ Introduction to **LlamaIndex & GenAI for DevOps**
✅ Automating incident response with AI-driven bots
✅ Generating YAML/JSON configurations using AI
✅ AI-powered log analysis using `LangChain` & `OpenAI API`
**🔨 Hands-on Project:**
- Build an AI-powered chatbot that suggests Kubernetes troubleshooting steps.
- Develop an AI-based log anomaly detection system that detects security threats.
## 🤖 Week 8: Agentic AI
### 🎯 Goal: Implement advanced AI-driven DevOps automation
✅ Understanding Agentic AI for DevOps
✅ AI-driven CI/CD pipeline optimization
✅ Automating incident remediation using AI agents
✅ Integrating AI with monitoring tools (Prometheus, Grafana)
## 💼 Final Capstone Projects
1️⃣ **DevOps Dashboard API:** Build a FastAPI app that displays real-time Kubernetes metrics.
2️⃣ **Self-Healing Kubernetes System:** AI-powered Kubernetes operator that auto-heals pods based on anomaly detection.
3️⃣ **Intelligent CI/CD Analyzer:** AI-driven CI/CD log analyzer that suggests fixes based on failure patterns.
## 📢 Next Steps
- Contribute to Open Source Python DevOps projects
- Deploy Python automation scripts in production Kubernetes environments
- Prepare for DevOps interviews with Python scripting questions
- Build AI-powered DevOps tools using LangChain & LlamaIndex
🔥 Ready to Master Python for DevOps? Let’s Get Started! 🚀