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container-cleanup-and-cost-management

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Container Cleanup and Cost Management

This project provides automated solutions for container resource management and cost optimization in Kubernetes and Docker environments.

Features

1. Orphaned Container Cleanup

• Identifies and removes unused Docker images, containers, and volumes
• Configurable retention policies
• Safe cleanup with dry-run option

2. EKS Cost Optimization

• Automated scaling of non-production clusters
• AWS Lambda integration for scheduled scaling
• Configurable scaling rules and thresholds

3. Container Log Rotation

• Automated log management using Fluentd
• Configurable retention policies
• Elasticsearch integration for log storage

Project Structure

.
├── README.md
├── requirements.txt
├── docker_cleanup/
│   ├── __init__.py
│   └── cleanup.py
├── eks_optimization/
│   ├── __init__.py
│   └── scaling.py
└── log_management/
    ├── __init__.py
    ├── fluentd.conf
    └── log_rotation.py

Setup

1. Install dependencies:

pip install -r requirements.txt

2. Configure AWS credentials:

aws configure

3. Set up Fluentd (if using log management):

# Install Fluentd
brew install fluentd

Usage

Docker Cleanup

python docker_cleanup/cleanup.py --dry-run

EKS Scaling

python eks_optimization/scaling.py --cluster-name my-cluster --scale-down

Log Rotation

python log_management/log_rotation.py --retention-days 30

Configuration

Each component can be configured through environment variables or configuration files:

• DOCKER_CLEANUP_RETENTION_DAYS: Number of days to retain Docker resources
• EKS_SCALING_SCHEDULE: Cron expression for scaling schedule
• LOG_RETENTION_DAYS: Number of days to retain logs

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

MIT License

042d81b (Initial commit)