Docker in Production: Multi-Stage Builds, Layer Caching, and Security Hardening
Production-ready Docker practices including multi-stage builds for smaller images, layer caching strategies, security scanning, and docker-compose orchestration patterns.
Running Docker in production requires more than docker run. This guide covers optimization techniques, security hardening, and patterns I use for production containerized applications.
Multi-Stage Builds: Smaller, Faster Images
# ❌ Bad: Single-stage build (800MB+)
FROM node:18
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build
CMD ["node", "dist/server.js"]
# ✅ Good: Multi-stage build (150MB)
# Stage 1: Dependencies
FROM node:18-alpine AS deps
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
# Stage 2: Build
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
# Stage 3: Production runtime
FROM node:18-alpine AS runner
WORKDIR /app
ENV NODE_ENV=production
# Copy only production dependencies from deps stage
COPY --from=deps /app/node_modules ./node_modules
# Copy only built artifacts from builder stage
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/public ./public
# Create non-root user
RUN addgroup -g 1001 -S nodejs
RUN adduser -S nextjs -u 1001
USER nextjs
EXPOSE 3000
CMD ["node", "dist/server.js"]
# Result: 150MB vs 800MB (5x smaller)
# Faster downloads, less attack surface, lower costsLayer Caching for Fast Builds
# ❌ Bad: Bust cache on any file change
FROM python:3.11-slim
WORKDIR /app
COPY . . # This invalidates cache when ANY file changes
RUN pip install -r requirements.txt
CMD ["python", "app.py"]
# ✅ Good: Optimize layer order
FROM python:3.11-slim
WORKDIR /app
# Install system dependencies (rarely change)
RUN apt-get update && apt-get install -y \
gcc \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first (only cache-bust when deps change)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy app code last (changes frequently)
COPY . .
CMD ["python", "app.py"]
# Build time with cache:
# First build: 3 minutes
# Rebuild after code change: 5 seconds (reuses dependency layers)Security Hardening Checklist
# Production-grade secure Dockerfile
FROM node:18-alpine
# 1. Run as non-root user
RUN addgroup -S appgroup && adduser -S appuser -G appgroup
# 2. Install only what's needed
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production --ignore-scripts
# 3. Copy application files
COPY --chown=appuser:appgroup . .
# 4. Remove unnecessary files
RUN rm -rf tests/ docs/ .git/
# 5. Set environment variables
ENV NODE_ENV=production \
PORT=3000
# 6. Use specific port
EXPOSE 3000
# 7. Switch to non-root user
USER appuser
# 8. Add health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD node healthcheck.js || exit 1
# 9. Use exec form of CMD
CMD ["node", "server.js"]
# Security scanning:
# docker scan my-image
# trivy image my-image
# snyk container test my-imageDocker Compose for Multi-Container Apps
# docker-compose.yml - Production-ready setup
version: '3.8'
services:
app:
build:
context: .
dockerfile: Dockerfile
target: production
ports:
- "3000:3000"
environment:
DATABASE_URL: postgres://postgres:password@db:5432/myapp
REDIS_URL: redis://cache:6379
NODE_ENV: production
depends_on:
db:
condition: service_healthy
cache:
condition: service_started
restart: unless-stopped
networks:
- app-network
volumes:
- ./logs:/app/logs # Persist logs
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
db:
image: postgres:15-alpine
environment:
POSTGRES_DB: myapp
POSTGRES_USER: postgres
POSTGRES_PASSWORD: ${DB_PASSWORD} # Use .env file
volumes:
- postgres-data:/var/lib/postgresql/data
- ./init.sql:/docker-entrypoint-initdb.d/init.sql
ports:
- "5432:5432"
restart: unless-stopped
networks:
- app-network
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 10s
timeout: 5s
retries: 5
cache:
image: redis:7-alpine
ports:
- "6379:6379"
restart: unless-stopped
networks:
- app-network
volumes:
- redis-data:/data
command: redis-server --appendonly yes
nginx:
image: nginx:alpine
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
- ./ssl:/etc/nginx/ssl:ro
depends_on:
- app
restart: unless-stopped
networks:
- app-network
volumes:
postgres-data:
redis-data:
networks:
app-network:
driver: bridge
# Usage:
# docker-compose up -d # Start all services
# docker-compose ps # Check status
# docker-compose logs -f app # View app logs
# docker-compose down -v # Stop and remove volumesPro Tips and Gotchas
- Use .dockerignore to exclude node_modules, .git, tests from build context (faster builds)
- Pin base image versions: node:18.15-alpine not node:latest (reproducible builds)
- BuildKit enables parallel builds: DOCKER_BUILDKIT=1 docker build . (2-3x faster)
- Layer sizes shown with 'docker history <image>' - find bloat sources
- Bind mounts for development: docker run -v $(pwd):/app for hot reload
- Named volumes persist data: docker volume create prevents data loss
- Container logs: docker logs <container> --follow --tail 100
- Exec into running container: docker exec -it <container> sh
- Resource limits: --memory=512m --cpus=0.5 prevents resource hogging
- Security: Never run containers as root in production, scan images regularly
- Restart policies: unless-stopped survives daemon restarts, always doesn't
- Multi-platform builds: docker buildx build --platform linux/amd64,linux/arm64