Transitioning DevOps Engineer with distinguished military service in The Old Guard, bringing precision, discipline, and excellence to cloud infrastructure and automation. Recent Hiring Our Heroes Corporate Fellowship graduate (Booz Allen Hamilton), with hands-on experience in CI/CD pipelines, containerization, and cloud infrastructure.

A comprehensive DevOps toolkit demonstrating practical skills in cloud infrastructure management and automation.

• ✅ System Health Monitoring
  • Implemented with Prometheus integration
  • Comprehensive test coverage (100%)
  • Real-time metrics collection
• ✅ Log Analysis System
  • Pattern recognition and alerting
  • Structured logging implementation
  • Integration test suite
• 🚧 AWS Integration
• 🚧 Security Compliance Features

• 🔍 System Health Monitoring

  • Real-time CPU, memory, and disk metrics
  • Process monitoring and analysis
  • Prometheus metrics integration

• 📊 Log Analysis

  • Automated log collection and parsing
  • Pattern recognition with alerting
  • Log rotation and retention management

• 💾 Backup Automation

  • AWS S3 integration (coming soon)
  • Backup verification
  • Restoration testing

• 🔒 Security Compliance

  • Security status monitoring
  • Compliance verification
  • Configuration auditing

• Python 3.11+
• AWS SDK (boto3)
• Prometheus Client
• Docker
• pytest for testing
• Black for formatting
• pylint for code quality

• Python 3.11 or higher
• Git
• AWS account (for cloud features)

1. Clone the repository

git clone https://github.com/paulcyi/cloudops-automation-toolkit.git
cd cloudops-automation-toolkit

2. Create and activate virtual environment

python3 -m venv venv
source venv/bin/activate  # On Unix/MacOS
# or
.\venv\Scripts\activate  # On Windows

3. Install required packages

python3 -m pip install -r requirements.txt

• Main branch: Production-ready code
• Develop branch: Integration branch
• Feature branches: Format feature/component-name
• Commits: Use conventional commits format

Example commit:

feat(monitoring): implement system metrics collection

- Add CPU, memory, and disk metrics
- Configure Prometheus integration
- Add unit tests

• Write tests for all new features
• Maintain >80% test coverage
• Run full test suite before commits

pytest tests/ -v

• Follow PEP 8 guidelines
• Use type hints
• Document all functions and classes
• Use Black for formatting
• Use pylint for code quality

# Format code
black .

# Check code quality
pylint src/

cloudops-automation-toolkit/
├── src/
│   ├── monitors/
│   │   └── system_monitor.py
│   └── logs/
│       └── log_analyzer.py
├── tests/
│   ├── monitors/
│   │   └── test_system_monitor.py
│   └── logs/
│       └── test_log_analyzer.py
├── pytest.ini
└── README.md

United States Army – The Old Guard (2021–2024)

• Executed 650+ Military Funeral Honors with precision and attention to detail
• Led 200+ Military Funeral Honors with Escort
• Conducted 6 General Officer funerals
• Recognized as subject matter expert for joint service ceremonies
• Recipient of the Army Commendation Medal (ARCOM)

1. Implement AWS S3 integration
2. Add security compliance features
3. Set up CI/CD pipeline with GitHub Actions
4. Add Docker containerization
5. Create Kubernetes deployment configuration

Paul Yi

• GitHub: @paulcyi
• LinkedIn: Paul Yi

Building reliable, secure, and automated cloud infrastructure solutions.