Skip to content

Latest commit

 

History

History
229 lines (191 loc) · 12 KB

File metadata and controls

229 lines (191 loc) · 12 KB

DevOps Training

Welcome to my DevOps training repository! 🚀 This repo contains my comprehensive notes, projects, exercises, and configurations as I progress through my DevOps learning journey.

📌 About

This repository serves as a structured record of my hands-on experience and learning in DevOps, covering topics like:

  • Linux & Shell Scripting
  • Git & Version Control
  • CI/CD (Continuous Integration & Deployment)
  • Infrastructure as Code (IaC) with Terraform
  • Configuration Management with Ansible
  • Containerization using Docker & Kubernetes
  • Cloud Services (AWS, Azure, GCP) 🎓 Current Status: Complete DevOps training curriculum with 59 projects across 4 modules, including comprehensive monitoring solutions, Kubernetes deployments, and production-ready configurations.

📋 Table of Contents

📈 Project Progress

Module Projects Status Completion
Module 1 8 Mini + 1 Capstone ✅ Complete 100%
Module 2 17 Mini + 3 Capstone ✅ Complete 100%
Module 3 16 Mini + 1 Capstone ✅ Complete 100%
Module 4 12 Mini + 1 Capstone ✅ Complete 100%
Total 53 Mini + 6 Capstone ✅ Complete 100%

🎓 Skills Demonstrated

Core DevOps Skills

  • Infrastructure as Code: Terraform, CloudFormation
  • Configuration Management: Ansible automation
  • Container Orchestration: Docker, Kubernetes
  • CI/CD Pipelines: Jenkins, GitHub Actions
  • Monitoring & Alerting: Prometheus, Grafana, Gatus

Cloud & Infrastructure

  • AWS Services: EC2, S3, VPC, IAM, ALB, Auto Scaling
  • Security: IAM policies, Security Groups, Network ACLs
  • Networking: VPC design, Load Balancing, DNS

Development Practices

  • Version Control: Git workflows, branching strategies
  • Scripting: Bash/Shell scripting, automation
  • Documentation: Comprehensive READMEs, evidence collection

🚀 Quick Start Guide

For Students

  1. Start with Module 1: Master Git and Linux fundamentals
  2. Progress to Module 2: Learn AWS and shell scripting
  3. Advance to Module 3: Containerization and CI/CD
  4. Complete Module 4: Infrastructure automation and monitoring

For Instructors

  • Each project includes detailed evidence requirements
  • Troubleshooting guides for common issues
  • Production-ready configurations included

Prerequisites

  • Basic Linux knowledge
  • AWS account (free tier sufficient)
  • GitHub account for version control

🏆 Achievements

Badge Description Status
🚀 DevOps Master Completed full curriculum ACHIEVED
☸️ Kubernetes Expert Full cluster monitoring setup ACHIEVED
📊 Monitoring Guru Prometheus + Grafana + Gatus stack ACHIEVED
⚙️ IaC Specialist Terraform infrastructure automation ACHIEVED
🔧 Config Manager Ansible automation expert ACHIEVED

📖 Learning Outcomes

By Module Completion

  • Module 1: Master Git workflows and Linux administration
  • Module 2: AWS cloud expertise and shell scripting proficiency
  • Module 3: Containerization and CI/CD pipeline mastery
  • Module 4: Infrastructure automation and monitoring specialization

Career Readiness

  • Production Deployments: Enterprise-grade configurations (Prometheus, Kubernetes, Gatus)
  • Troubleshooting Skills: 100+ debugging scenarios across 6 Module 4 projects
  • Documentation Excellence: 3,000+ lines of professional technical documentation
  • Evidence Collection: 100+ screenshot requirements with systematic verification
  • Industry Standards: Production-ready configurations with security best practices

🛠️ Technology Stack

Docker Kubernetes Terraform Ansible Prometheus AWS Jenkins Grafana Gatus

📚 Projects

This section provides a complete list of all projects organized by module.

This module covers the basics of version control with Git and essential Linux administration skills.


This module focuses on core AWS services and automating tasks with shell scripting.


This module dives into containerization with Docker, orchestration with Kubernetes, and building CI/CD pipelines.


This module covers Infrastructure as Code with Terraform, configuration management with Ansible, and monitoring with Prometheus and Grafana.

🤝 Contributing & Usage

For Students

  • Follow projects in sequential order
  • Complete evidence collection for each step
  • Use troubleshooting guides when encountering issues
  • Document your learning journey

For Instructors

  • Use as reference for DevOps curriculum design
  • Evidence requirements provided for grading
  • Troubleshooting sections for student support
  • Production configurations for real-world examples

Repository Structure

devops-training/
├── Module-1/           # Git & Linux Fundamentals
├── Module-2/           # AWS & Shell Scripting
├── Module-3/           # Docker & CI/CD
├── Module-4/           # Infrastructure & Monitoring
└── README.md          # This file

📚 Resources