Spring Boot development — configuration, REST APIs, data access, testing, and building production-ready Java microservices.
The gap between "works on my machine" and "runs in production" is a Dockerfile. This article covers the DOCK framework — multi-stage builds that produce minimal images, non-root container security, Docker Compose orchestration with health checks, and lean image optimization.
Code coverage is a number. Confidence is a feeling. They are not the same thing. This article introduces the PYRAMID framework — unit tests with Mockito, integration tests with MockMvc, ArchUnit architecture enforcement, JaCoCo coverage gates, and the test infrastructure that makes it all reliable.
A microservice without observability is a black box you cannot operate. This article introduces the TRACE framework — structured logging with correlation IDs, custom business metrics with Micrometer, and distributed tracing with Zipkin. The three pillars that make production debuggable.
Traditional thread pools cap at 200 threads eating 200 MB of memory. Java virtual threads handle 10,000+ concurrent operations at 1 KB each. This article covers the ASYNC framework — virtual thread configuration, CompletableFuture composition, parallel fetching, and async bulk processing.
Generic error responses tell your users nothing and your developers even less. This article introduces the CRAFT framework — sealed exception hierarchies, RFC 7807 ProblemDetail responses, multi-layer validation, and a GlobalExceptionHandler that turns failures into useful communication.
Security is either invisible and effective or visible and broken. This article covers the GUARD framework for Spring Security — SecurityFilterChain configuration, role-based access control, CORS policies, BCrypt password encoding, and a test security setup that doesn't weaken production.
Naive caching causes stale data, memory exhaustion, and race conditions. Smart caching solves all three. This article introduces the TEMPO framework — TTL-based expiration, eviction strategies, multiple cache regions, and SpEL-driven cache keys using Caffeine and Spring.
Getting the data layer wrong costs you months of refactoring later. This article walks through the FORGE framework — Flyway migrations, JPA entity design, Spring Data repositories, transaction management, and audit trails — building a persistence layer that evolves safely.
