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January 10, 2025•15 min read

Docker Production Deployment: Best Practices and Patterns

DockerDevOpsContainersDeployment

Docker makes deployment consistent, but production deployments require more than just containerization. This guide covers multi-stage builds, security hardening, health checks, and orchestration patterns.

Multi-Stage Builds

Multi-stage builds reduce image size and improve security by excluding build tools from production images. Use separate stages for building and running.

# Build stage
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Production stage
FROM node:18-alpine
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY package*.json ./
CMD ["node", "dist/index.js"]

Security Hardening

Run containers as non-root users, use minimal base images (Alpine), scan for vulnerabilities, and keep images updated. Never include secrets in images—use environment variables or secret management.

Health Checks

Implement health check endpoints and configure Docker HEALTHCHECK instructions. This enables automatic container restart by the runtime (Docker, Kubernetes) and seamless load balancer integration. A well-designed health check validates not just that your process is running, but that your application can actually serve requests — checking database connectivity and cache availability where relevant.

Key Takeaways

  • Always use multi-stage builds to keep production images small — a 50MB image deploys faster and has a smaller attack surface than a 500MB development image.
  • Run containers as non-root users and use read-only file systems wherever possible to limit the impact of a potential container escape.
  • Tag images with the git commit SHA, not just latest, so you can always identify exactly what code is running and roll back to any previous version.
  • Never store secrets in Dockerfiles or image layers — use environment variables passed at runtime, or a dedicated secrets manager like AWS Secrets Manager or HashiCorp Vault.
  • Health check endpoints should verify your full application stack (database, cache, external dependencies) so orchestrators can detect partial failures, not just process crashes.

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