Project
Enterprise Spring Patterns
Spring Boot patterns and recipes for building maintainable enterprise systems — service layering, transactional boundaries, event-driven flows.
The problem
Spring Boot makes the happy path easy, but enterprise systems have edge cases: transactional outbox patterns, idempotent consumers, domain event publishing, and layered service boundaries. These topics are scattered across blog posts with inconsistent advice.
Approach
Built a reference application demonstrating enterprise patterns with real infrastructure: PostgreSQL for persistence, Kafka for event streaming, and Redis for idempotency keys. Each pattern is isolated in its own package with an integration test that uses Testcontainers.
Trade-offs
- Testcontainers over H2: H2 in-memory DB hides PostgreSQL-specific behaviour. Testcontainers is slower to start but catches real issues.
- Outbox pattern over direct Kafka publish: Ensures at-least-once delivery without distributed transactions.
Outcome
A self-contained reference for backend engineers migrating from monolith Spring MVC to event-driven architectures. Covers the gap between “Hello World” Spring Boot tutorials and production-grade system design.