| name | docker-workflow |
| description | Comprehensive Docker containerization workflow covering multi-stage builds, docker-compose orchestration, image optimization, debugging, and production best practices. Use when containerizing applications, setting up development environments, or deploying with Docker. |
Docker Workflow
Overview
Docker containerization streamlines development, testing, and deployment by packaging applications with their dependencies into portable, reproducible containers. This skill guides you through professional Docker workflows from development to production.
Core Capabilities
- Multi-stage builds: Separate build and runtime dependencies for optimal image size
- Docker Compose orchestration: Manage multi-container applications with networking and dependencies
- Image optimization: Reduce image size by 50-90% through best practices
- Development workflows: Hot-reload, volume mounting, and environment-specific configs
- Debugging tools: Container inspection, health checks, and troubleshooting utilities
- Production readiness: Security hardening, health checks, and deployment strategies
When to Use This Skill
Activate when:
- Containerizing a new application
- Setting up development environments with Docker
- Creating production-ready Docker images
- Orchestrating multi-container applications
- Debugging container issues
- Optimizing Docker builds and images
Workflow Phases
Phase 1: Initial Setup
Create .dockerignore
Exclude unnecessary files from build context:
node_modules/
__pycache__/
*.pyc
.git/
.env
*.log
dist/
build/
coverage/
See examples/.dockerignore for comprehensive template.
Key principles:
- Exclude build artifacts and dependencies
- Exclude sensitive files (.env, credentials)
- Exclude version control (.git)
- Smaller context = faster builds
Analyze Application Requirements
Determine:
- Runtime (Node.js, Python, Go, Java)
- Dependencies and package managers
- Build vs. runtime requirements
- Port exposure and volume needs
Phase 2: Multi-Stage Dockerfile
Choose Strategy
Multi-stage builds reduce final image size by 50-90%:
# Stage 1: Build
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
# Stage 2: Production
FROM node:18-alpine
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
EXPOSE 3000
CMD ["node", "dist/index.js"]
See examples/Dockerfile.multi-stage for templates for Node.js, Python, Go, Java, and Rust.
Optimize Layer Caching
Order matters - place changing content last:
# ✅ GOOD: Dependencies cached separately
COPY package.json package-lock.json ./
RUN npm ci
COPY . .
# ❌ BAD: Any file change invalidates cache
COPY . .
RUN npm ci
Apply Security Best Practices
# Use specific versions
FROM node:18.17.1-alpine
# Run as non-root user
RUN addgroup -g 1001 -S nodejs && adduser -S nodejs -u 1001
USER nodejs
# Copy with ownership
COPY --chown=nodejs:nodejs . .
Security checklist:
- Pin base image versions
- Use minimal base images (alpine, slim)
- Run as non-root user
- Scan for vulnerabilities
- Minimize installed packages
Phase 3: Docker Compose Setup
Define Services
Create docker-compose.yml:
version: '3.8'
services:
app:
build:
context: .
dockerfile: Dockerfile
ports:
- "3000:3000"
environment:
- DATABASE_URL=postgresql://db:5432/myapp
depends_on:
db:
condition: service_healthy
volumes:
- ./src:/app/src # Development hot-reload
networks:
- app-network
db:
image: postgres:15-alpine
environment:
POSTGRES_DB: myapp
volumes:
- postgres-data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U user"]
interval: 5s
networks:
- app-network
volumes:
postgres-data:
networks:
app-network:
See examples/docker-compose.yml for full-featured setup with monitoring, queues, and caching.
Environment Configuration
Use override files for different environments:
Development (docker-compose.override.yml):
services:
app:
build:
target: development
volumes:
- ./src:/app/src
environment:
- NODE_ENV=development
command: npm run dev
Production (docker-compose.prod.yml):
services:
app:
build:
target: production
restart: always
environment:
- NODE_ENV=production
Usage:
# Development (uses override automatically)
docker-compose up
# Production
docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d
Phase 4: Build and Run
Build Commands
# Basic build
docker build -t myapp:latest .
# Build specific stage
docker build --target production -t myapp:prod .
# Build with BuildKit (faster)
DOCKER_BUILDKIT=1 docker build -t myapp:latest .
Run Commands
# Single container
docker run -d -p 3000:3000 -e NODE_ENV=production myapp:latest
# Docker Compose
docker-compose up -d
# View logs
docker-compose logs -f app
# Execute in container
docker-compose exec app sh
# Stop and remove
docker-compose down -v
Phase 5: Debugging and Troubleshooting
Use Helper Script
The scripts/docker_helper.sh utility provides common debugging operations:
# Check container health
./scripts/docker_helper.sh health myapp
# Inspect details
./scripts/docker_helper.sh inspect myapp
# View logs
./scripts/docker_helper.sh logs myapp 200
# Open shell
./scripts/docker_helper.sh shell myapp
# Analyze image size
./scripts/docker_helper.sh size myapp:latest
# Cleanup resources
./scripts/docker_helper.sh cleanup
Common Issues
Container exits immediately:
docker logs myapp
docker run -it --entrypoint sh myapp:latest
Network connectivity:
docker network inspect myapp_default
docker exec myapp ping db
Volume permissions:
# Fix in Dockerfile
RUN chown -R nodejs:nodejs /app/data
Phase 6: Optimization
Reduce Image Size
Strategies:
- Use smaller base images (alpine > slim > debian)
- Multi-stage builds to exclude build tools
- Combine RUN commands for fewer layers
- Clean up in same layer
- Use .dockerignore
Example:
# ✅ GOOD: Combined, cleaned up
RUN apt-get update && \
apt-get install -y --no-install-recommends package1 && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
Build Performance
# Enable BuildKit
export DOCKER_BUILDKIT=1
# Use cache mounts
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r requirements.txt
# Parallel builds
docker-compose build --parallel
Phase 7: Production Deployment
Production Dockerfile
FROM node:18-alpine AS production
# Security: non-root user
RUN addgroup -g 1001 -S nodejs && adduser -S nodejs -u 1001
WORKDIR /app
COPY --from=builder --chown=nodejs:nodejs /app/dist ./dist
USER nodejs
# Health check
HEALTHCHECK --interval=30s --timeout=3s \
CMD node healthcheck.js
EXPOSE 3000
CMD ["node", "dist/index.js"]
Deployment Commands
# Tag for registry
docker tag myapp:latest registry.example.com/myapp:v1.0.0
# Push to registry
docker push registry.example.com/myapp:v1.0.0
# Deploy
docker-compose pull && docker-compose up -d
# Rolling update
docker-compose up -d --no-deps --build app
Common Patterns
Full-Stack Application
- Frontend + Backend + Database + Redis
- See
examples/docker-compose.yml
Microservices
- API Gateway + Multiple Services + Message Queue
- Network isolation and service discovery
Development with Hot Reload
- Volume mounting for source code
- Override files for dev configuration
Best Practices Summary
Security
✅ Use specific image versions, not latest
✅ Run as non-root user
✅ Use secrets management for sensitive data
✅ Scan images for vulnerabilities
✅ Use minimal base images
Performance
✅ Use multi-stage builds ✅ Optimize layer caching ✅ Use .dockerignore ✅ Combine RUN commands ✅ Use BuildKit
Development
✅ Use docker-compose for multi-container apps ✅ Use volumes for hot-reload ✅ Implement health checks ✅ Use proper dependency ordering
Production
✅ Set restart policies ✅ Use orchestration (Swarm, Kubernetes) ✅ Monitor with health checks ✅ Use reverse proxy ✅ Implement rolling updates
Helper Resources
- scripts/docker_helper.sh: Container inspection, health checks, automation
- examples/Dockerfile.multi-stage: Templates for Node.js, Python, Go, Java, Rust
- examples/docker-compose.yml: Full-featured multi-service setup
- examples/.dockerignore: Comprehensive ignore patterns
Quick Reference
Essential Commands
# Build
docker build -t myapp .
docker-compose build
# Run
docker run -d -p 3000:3000 myapp
docker-compose up -d
# Logs
docker logs -f myapp
docker-compose logs -f
# Execute
docker exec -it myapp sh
docker-compose exec app sh
# Stop
docker-compose down
# Clean
docker system prune -a
Debugging
# Inspect
docker inspect myapp
# Stats
docker stats myapp
# Networks
docker network inspect bridge
# Volumes
docker volume ls