Docker Deployment for Context Management Systems

Why Docker

Containerization ensures consistency across environments, simplifies deployment, and enables horizontal scaling. Docker has become the standard for deploying production services.

Containerizing Your Application

Dockerfile

FROM python:3.11-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .
EXPOSE 8000

CMD ["gunicorn", "app:app", "-b", "0.0.0.0:8000"]

Build and Run

docker build -t context-manager .
docker run -p 8000:8000 context-manager

Docker Compose Setup

Compose orchestrates multi-container deployments—your app, database, cache, and supporting services.

version: '3.8'
services:
  app:
    build: .
    ports: ["8000:8000"]
    depends_on: [db, redis]
  db:
    image: postgres:15
    volumes: ["pg_data:/var/lib/postgresql/data"]
  redis:
    image: redis:7-alpine

volumes:
  pg_data:

Production Considerations

Use multi-stage builds to reduce image size. Implement health checks. Configure resource limits. Use secrets management for credentials. Set up logging drivers for centralized log collection.

Orchestration

For production, consider Kubernetes or managed container services. They provide auto-scaling, rolling deployments, and self-healing capabilities essential for production workloads.