✈️AeroHub
HomeBlogCategories
✈️AeroHub

Your source for the latest in technology, development, design, and more.

Content

  • Blog
  • Categories
  • Tags

Company

  • About
  • Contact
  • Privacy

Follow Us

  • Twitter
  • GitHub
  • LinkedIn

© 2026 AeroHub. All rights reserved.

  1. Home
  2. /
  3. Blog
  4. /
  5. Technology
TechnologyDecember 10, 2023· 10 min read

Docker Containerization: From Development to Production

Learn to containerize applications effectively with Docker best practices and patterns.

David Kim
David Kim

DevOps Engineer

Docker Containerization: From Development to Production

Docker Containerization: From Development to Production

Docker has become essential for modern development. This guide covers everything from basics to production deployment.

Why Docker?

Benefits

  • Consistency: Same environment everywhere
  • Isolation: No dependency conflicts
  • Portability: Run anywhere Docker runs
  • Efficiency: Lighter than VMs
  • Scalability: Easy horizontal scaling

Dockerfile Best Practices

Multi-Stage Builds

Keep images small:

# Build stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

Production stage

FROM node:20-alpine WORKDIR /app COPY --from=builder /app/dist ./dist COPY --from=builder /app/node_modules ./node_modules CMD ["node", "dist/index.js"]

Layer Caching

Order commands strategically:

# Dependencies change less often - cache these
COPY package*.json ./
RUN npm ci

Source code changes frequently

COPY . .

Security

Run as non-root:

RUN addgroup -S app && adduser -S app -G app
USER app

Docker Compose

Development Setup

version: '3.8'
services:
  app:
    build: .
    volumes:
      - .:/app
      - /app/node_modules
    ports:
      - "3000:3000"
    environment:
      - DATABASE_URL=postgres://postgres:password@db:5432/app
    depends_on:
      - db
  
  db:
    image: postgres:15-alpine
    volumes:
      - postgres_data:/var/lib/postgresql/data
    environment:
      - POSTGRES_PASSWORD=password

volumes: postgres_data:

Production Considerations

Health Checks

HEALTHCHECK --interval=30s --timeout=3s --retries=3   CMD curl -f http://localhost:3000/health || exit 1

Resource Limits

services:
  app:
    deploy:
      resources:
        limits:
          cpus: '0.5'
          memory: 512M

Logging

Use JSON logging for aggregation:

{"level":"info","message":"Server started","port":3000}

Networking

Bridge Networks

Create isolated networks:

networks:
  backend:
    driver: bridge
  frontend:
    driver: bridge

Conclusion

Docker simplifies development and deployment. Master these patterns to build reliable, scalable containerized applications.

#Docker#DevOps#Kubernetes
David Kim
David Kim

DevOps Engineer

DevOps engineer and cloud infrastructure specialist. Kubernetes certified. Writes about CI/CD, containerization, and platform engineering.

Related Articles

Kubernetes in Production: Essential Best Practices
TechnologyJanuary 5, 2024

Kubernetes in Production: Essential Best Practices

Battle-tested strategies for running Kubernetes clusters in production environments.

David KimDavid Kim•11 min read
How AI is Transforming Software Development
TechnologyJanuary 1, 2024

How AI is Transforming Software Development

Explore the ways artificial intelligence is changing how we write, test, and deploy code.

Sarah ChenSarah Chen•8 min read
Git Workflows for High-Performing Teams
ProductivityDecember 22, 2023

Git Workflows for High-Performing Teams

Learn Git branching strategies and collaboration patterns that help teams ship faster.

David KimDavid Kim•8 min read