Containerized systems have unique failure modes. Here’s how to identify and prevent common issues.

1. Resource Exhaustion

Memory Limits

# docker-compose.yml
services:
  app:
    deploy:
      resources:
        limits:
          memory: 512M
        reservations:
          memory: 256M

CPU Throttling

services:
  app:
    deploy:
      resources:
        limits:
          cpus: '1.0'

2. Container Restart Loops

Health Checks

# Dockerfile
HEALTHCHECK --interval=30s --timeout=3s --start-period=40s \
  CMD curl -f http://localhost:8080/health || exit 1

Restart Policies

services:
  app:
    restart: unless-stopped
    # Options: no, always, on-failure, unless-stopped

3. Network Issues

Port Conflicts

services:
  app:
    ports:
      - "8080:8080"  # host:container

DNS Resolution

services:
  app:
    dns:
      - 8.8.8.8
      - 8.8.4.4

4. Volume Mount Problems

Permission Issues

# Fix permissions
RUN chown -R appuser:appuser /app
USER appuser

Volume Mounts

services:
  app:
    volumes:
      - ./data:/app/data:ro  # Read-only
      - cache:/app/cache

5. Image Layer Caching

Optimize Dockerfile

# Bad: Changes invalidate cache
COPY . .
RUN npm install

# Good: Layer caching
COPY package*.json ./
RUN npm install
COPY . .

6. Log Management

Log Rotation

services:
  app:
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

7. Security Issues

Non-Root User

RUN useradd -m appuser
USER appuser

Secrets Management

services:
  app:
    secrets:
      - db_password
    environment:
      DB_PASSWORD_FILE: /run/secrets/db_password

Prevention Strategies

  1. Set resource limits
  2. Implement health checks
  3. Use proper restart policies
  4. Monitor container metrics
  5. Test failure scenarios
  6. Use orchestration tools (Kubernetes, Docker Swarm)

Conclusion

Prevent container failures by:

  • Resource management
  • Health monitoring
  • Proper configuration
  • Security best practices
  • Regular testing

Build resilient containerized systems! 🐳