Docker Containerization
Why Docker Containerization Matters
Spring Boot layered JARs optimize Docker image size and build time through dependency caching. In production CI/CD pipelines building 100+ images daily, layered Docker builds reduce push time from 5 minutes (full 150MB image) to 30 seconds (5MB application layer)—caching Spring Boot dependencies and third-party libraries separately from application code.
Problem: Single-layer Docker images require full rebuild and push for code changes.
Solution: Spring Boot layered JARs with multi-stage Dockerfile for optimized caching.
Implementation Example
// Implementation details for docker-containerization
// See full guide for comprehensive examplesProduction Configuration
# Configuration for docker-containerization
# See full guide for detailed configurationProduction Patterns
Best Practices:
- Follow Spring Boot conventions
- Test in staging before production
- Monitor metrics and health checks
- Use environment-specific configuration
Trade-offs
| Aspect | Spring Boot Approach | Manual Approach |
|---|---|---|
| Complexity | Auto-configured (simple) | Manual configuration (complex) |
| Flexibility | Conventions with overrides | Full control |
| Maintenance | Framework-maintained | Custom code maintenance |
| Production ready | Defaults optimized | Requires tuning |
Production recommendation: Use layered JARs for all Docker deployments. Significant CI/CD time savings.
Next Steps
- See related in-the-field guides for comprehensive production patterns
Last updated