DevOps Learning Repository

A comprehensive collection of DevOps tools, scripts, configurations, and examples for learning and practical implementation across different cloud platforms and technologies.

📋 Overview

This repository serves as a centralized hub for DevOps-related code examples, automation scripts, infrastructure configurations, and deployment strategies. It's designed to support learning, experimentation, and real-world implementation of DevOps practices.

🏗️ Repository Structure

devops/
├── infrastructure/         # Infrastructure as Code (IaC)
│   ├── terraform/         # Terraform configurations
│   └── ansible/           # Ansible playbooks and roles
├── cloud/                 # Cloud platform examples
│   ├── aws/               # Amazon Web Services
│   ├── gcp/               # Google Cloud Platform
│   └── azure/             # Microsoft Azure
├── scripts/               # Automation scripts
│   ├── linux/             # Linux system administration
│   └── windows/           # Windows PowerShell scripts
├── ci-cd/                 # CI/CD pipeline examples
│   ├── github-actions/    # GitHub Actions workflows
│   ├── gitlab-ci/         # GitLab CI/CD pipelines
│   └── jenkins/           # Jenkins configurations
├── deployment/            # Deployment strategies
│   ├── blue-green/        # Blue-green deployment
│   ├── kubernetes/        # Kubernetes manifests
│   └── docker/            # Docker configurations
└── monitoring/            # Monitoring and logging
    └── logs/              # ELK Stack, Loki configurations

🚀 Getting Started

Prerequisites

Before using the examples in this repository, ensure you have the following tools installed:

• Cloud CLIs:

  • AWS CLI for AWS examples
  • gcloud CLI for GCP examples
  • Azure CLI for Azure examples

• Infrastructure Tools:

  • Terraform
  • Ansible

• Container Tools:

  • Docker
  • Kubernetes CLI (kubectl)

• Programming Languages:

  • Python 3.8+
  • Node.js 20+
  • Bash (for Linux scripts)

Quick Setup

1. Clone the repository:

   git clone https://github.com/lamngockhuong/devops.git
   cd devops

2. Install Python dependencies:

   pip install boto3 google-cloud-storage azure-storage-blob

3. Configure cloud credentials:

   # AWS
   aws configure
   
   # GCP
   gcloud auth login
   gcloud config set project YOUR_PROJECT_ID
   
   # Azure
   az login

📚 Usage Examples

Infrastructure as Code

# Deploy AWS infrastructure with Terraform
cd infrastructure/terraform/aws/
terraform init
terraform plan
terraform apply

Cloud Operations

# Run AWS EC2 management script
python cloud/aws/ec2/basic-instance-management.py

# Execute system information script
chmod +x scripts/linux/system-admin/system-info.sh
./scripts/linux/system-admin/system-info.sh

Container Deployment

# Build multi-stage Docker image
docker build -f deployment/docker/multi-stage/Dockerfile -t myapp .

# Deploy blue-green setup
cd deployment/blue-green/simple-on-linux/
chmod +x blue-green-deploy.sh
./blue-green-deploy.sh

🎯 Learning Path

Beginner

1. Start with scripts/linux/ for basic automation
2. Explore cloud/aws/ for cloud fundamentals
3. Try deployment/docker/ for containerization basics

Intermediate

1. Work through infrastructure/terraform/ for IaC
2. Implement ci-cd/github-actions/ pipelines
3. Practice with deployment/kubernetes/ orchestration

Advanced

1. Design complex infrastructures using modules
2. Create custom CI/CD workflows
3. Implement comprehensive monitoring solutions

🔧 Configuration

Each directory contains its own README with specific configuration instructions:

• infrastructure/README.md - IaC setup and best practices
• cloud/README.md - Cloud platform configurations
• scripts/README.md - Script usage and guidelines
• ci-cd/README.md - Pipeline setup instructions

🛡️ Security Considerations

• Never commit sensitive data (API keys, passwords, certificates)
• Use environment variables or secure secret management
• Implement least privilege access principles
• Regularly update dependencies and base images
• Enable security scanning in CI/CD pipelines

🤝 Contributing

Contributions are welcome! Please follow these guidelines:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Contribution Guidelines

• Include documentation for new examples
• Follow existing code style and structure
• Add tests where applicable
• Update relevant README files

📖 Resources

Documentation

• AWS Documentation
• Google Cloud Documentation
• Azure Documentation
• Terraform Documentation
• Kubernetes Documentation

Learning Materials

• AWS Training
• Google Cloud Training
• Azure Learning Paths
• DevOps Roadmap

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Contact

• Author: Lam Ngoc Khuong
• GitHub: @lamngockhuong
• Email: [email protected]

🏷️ Tags

devops aws gcp azure terraform ansible docker kubernetes ci-cd automation infrastructure monitoring deployment

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