Docker Basics
Writing a Dockerfile
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
USER node
EXPOSE 3000
CMD ["node", "server.js"]
Docker Compose for Development
version: '3.8'
services:
app:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=development
volumes:
- .:/app
- /app/node_modules
depends_on:
- db
- redis
db:
image: postgres:15-alpine
volumes:
- postgres_data:/var/lib/postgresql/data
environment:
POSTGRES_PASSWORD: secret
redis:
image: redis:7-alpine
volumes:
postgres_data:
Kubernetes for Production
Deployment Manifest
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
spec:
replicas: 3
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-app
image: myregistry/my-app:v1.0.0
ports:
- containerPort: 3000
resources:
limits:
memory: "512Mi"
cpu: "500m"
requests:
memory: "256Mi"
cpu: "200m"
env:
- name: NODE_ENV
value: "production"
---
apiVersion: v1
kind: Service
metadata:
name: my-app
spec:
selector:
app: my-app
ports:
- port: 80
targetPort: 3000
type: LoadBalancer
Best Practices
Conclusion
Docker and Kubernetes provide the foundation for reliable, scalable deployments. Start with Docker Compose for development, then migrate to Kubernetes for production.
# Use specific versions, not latest
FROM node:20-alpine
WORKDIR /app
# Copy package files first for better caching
COPY package*.json ./
RUN npm ci --only=production
COPY . .
# Run as non-root user
USER node
EXPOSE 3000
CMD ["node", "server.js"]
version: '3.8'
services:
app:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=development
volumes:
- .:/app
- /app/node_modules
depends_on:
- db
- redis
db:
image: postgres:15-alpine
volumes:
- postgres_data:/var/lib/postgresql/data
environment:
POSTGRES_PASSWORD: secret
redis:
image: redis:7-alpine
volumes:
postgres_data:
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
spec:
replicas: 3
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-app
image: myregistry/my-app:v1.0.0
ports:
- containerPort: 3000
resources:
limits:
memory: "512Mi"
cpu: "500m"
requests:
memory: "256Mi"
cpu: "200m"
env:
- name: NODE_ENV
value: "production"
---
apiVersion: v1
kind: Service
metadata:
name: my-app
spec:
selector:
app: my-app
ports:
- port: 80
targetPort: 3000
type: LoadBalancer