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 examples

Production Configuration

# Configuration for docker-containerization
# See full guide for detailed configuration

Production Patterns

Best Practices:

  • Follow Spring Boot conventions
  • Test in staging before production
  • Monitor metrics and health checks
  • Use environment-specific configuration

Trade-offs

AspectSpring Boot ApproachManual Approach
ComplexityAuto-configured (simple)Manual configuration (complex)
FlexibilityConventions with overridesFull control
MaintenanceFramework-maintainedCustom code maintenance
Production readyDefaults optimizedRequires 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
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