🔧 Patch Management Automation

Patch Management Automation is a comprehensive solution designed to automate and streamline the process of managing system patches across your infrastructure. It provides intelligent scheduling, compliance tracking, and automated deployment capabilities to keep your systems secure and up-to-date.

• ⚡ Automation First: Reduce manual intervention and human error
• 🔒 Security Focused: Ensure timely security patch deployment
• 📊 Comprehensive Reporting: Track patch status and compliance metrics
• 🔄 Flexible Scheduling: Customize deployment windows for your environment
• 🛡️ Zero-Downtime Deployment: Minimize impact on production systems

• 🚀 Automated Patch Detection - Continuously monitor for available patches
• 📅 Intelligent Scheduling - Deploy patches during maintenance windows
• 📈 Progress Tracking - Real-time monitoring of patch deployment status
• 📊 Compliance Reports - Generate detailed compliance and audit reports
• 🔔 Smart Notifications - Alert stakeholders on deployment status
• 🔍 Pre-deployment Validation - Automated testing before production rollout
• 🗂️ Multi-System Support - Manage patches across diverse infrastructure
• 🔐 Role-Based Access Control - Secure access management

• Python 3.8 or higher
• pip package manager
• System administrator access
• Network connectivity to target systems

1. Clone the Repository

git clone https://github.com/ng-sudo/Patch-Management-Automation.git
cd Patch-Management-Automation

2. Create Virtual Environment

python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment

cp .env.example .env
# Edit .env with your configuration

# Initialize the application
python main.py --init
# Start automated patching
python main.py --start
# Check patch status
python main.py --status

Detailed configuration options are available in docs/CONFIG.md

Complete API documentation can be found in docs/API.md

For command-line interface documentation, see docs/CLI.md

Explore practical examples in the examples/ directory

from patch_automation import PatchScheduler
scheduler = PatchScheduler()
scheduler.add_schedule({
 'systems': ['server1', 'server2'],
 'day': 'Sunday',
 'time': '02:00',
 'timeout': 3600
})
scheduler.start()

from patch_automation import ReportGenerator
reporter = ReportGenerator()
report = reporter.generate_compliance_report(
 start_date='2025-01-01',
 end_date='2025-12-31'
)
report.save('compliance_report.pdf')

from patch_automation import PatchManager
manager = PatchManager()
status = manager.get_system_status('production-server-01')
print(status)

Patch-Management-Automation/
├── src/
│ ├── core/ # Core patching logic
│ ├── schedulers/ # Scheduling modules
│ ├── reporters/ # Report generation
│ └── utils/ # Utility functions
├── tests/ # Unit and integration tests
├── docs/ # Documentation
├── examples/ # Usage examples
├── config/ # Configuration templates
├── requirements.txt # Python dependencies
└── README.md # This file

Run the test suite with:

# Run all tests
pytest
# Run with coverage report
pytest --cov=src
# Run specific test module
pytest tests/test_scheduler.py

We welcome contributions! 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

For detailed contribution guidelines, see CONTRIBUTING.md

# Install development dependencies
pip install -r requirements-dev.txt
# Install pre-commit hooks
pre-commit install
# Run linting
flake8 src/ tests/
# Format code
black src/ tests/

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

Issue: Connection timeout to target systems

• Solution: Check network connectivity and firewall rules

Issue: Permission denied errors

• Solution: Ensure your user has sufficient administrator privileges

For more help, please:

• 📖 Check the FAQ
• 🐛 Open an issue
• 💬 Start a discussion

• Web-based dashboard UI
• Kubernetes patch automation
• Advanced ML-based scheduling
• Multi-cloud support
• Enhanced security features
• Performance optimizations

• ng-sudo - Project Creator & Maintainer

Special thanks to all our contributors who have helped make this project better!