DOCKER.md

Docker Setup

This project includes Docker configuration for easy deployment and monitoring.

Services

• FastAPI App (port 8000): Main ML API
• Prometheus (port 9090): Metrics collection
• Grafana (port 3000): Visualization dashboards

Quick Start

1. Build and Start

docker-compose up -d

2. Access Services

• API: http://localhost:8000
• API Docs: http://localhost:8000/docs
• Prometheus: http://localhost:9090
• Grafana: http://localhost:3000 (admin/admin)

3. Stop Services

docker-compose down

Useful Commands

# View logs
docker-compose logs -f

# View app logs only
docker-compose logs -f app

# Rebuild after code changes
docker-compose up -d --build

# Stop and remove volumes
docker-compose down -v

Environment Variables

Create .env file with:

MLFLOW_TRACKING_URI=your_dagshub_uri
DAGSHUB_TOKEN=your_token

Grafana Setup

1. Login to Grafana (admin/admin)
2. Datasources are auto-configured
3. Dashboards are auto-loaded

Health Checks

# Check app health
curl http://localhost:8000/health

# Check Prometheus targets
curl http://localhost:9090/api/v1/targets