Technical insights, architecture patterns, and best practices
Spring Batch 5's chunk-oriented step model gives you restartability, skip/retry fault tolerance, and parallel partitioning with minimal configuration — this tutorial builds a full CSV-to-database job and shows exactly how each mechanism works under the hood.
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Learn how to build a production-ready CDC pipeline that streams PostgreSQL row changes to Kafka using Debezium 3.x — covering connector configuration, the pgoutput plugin, Single Message Transforms, and an idempotent Spring Boot consumer.
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Learn how to implement genuine zero-trust identity between microservices using SPIFFE/SPIRE and mutual TLS in Kubernetes — short-lived, auto-rotating X.509 SVIDs issued to each workload, consumed directly by Spring Boot 3.3 without any service mesh.
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Learn how to build a Model Context Protocol server using Spring AI 1.0 and Spring Boot 3.4, exposing typed database tools that any MCP-compatible AI agent can discover and call at runtime.
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Learn how to implement the Saga orchestration pattern combined with the Transactional Outbox to achieve reliable distributed transactions across Spring Boot microservices — without two-phase commit.
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Set up production-grade observability in a Spring Boot 3 application by wiring OpenTelemetry traces, Prometheus metrics, and correlated structured logs through a single OTel Collector pipeline — all with Spring's built-in Micrometer Tracing bridge.
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Build a production-ready JWT authentication system with refresh token rotation using Spring Boot 3.5.6, Spring Security 6.5.4, and JJWT 0.12.6 — complete source code included.
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Learn how to containerise a Spring Boot 3.4 REST API with a lean multi-stage Dockerfile, write production-quality Kubernetes manifests with Actuator health probes, ConfigMaps, and HPA, and ship it with Helm — all the way from `mvn package` to a running, auto-scaling cluster.
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Learn how to implement Redis caching in Spring Boot 3 using the Spring Cache Abstraction — covering @Cacheable, @CachePut, @CacheEvict, per-cache TTLs, Jackson serialization, and production best practices with Testcontainers tests.
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Learn how to build scalable, non-blocking web applications using Spring WebFlux and Project Reactor — covering Mono, Flux, functional routing, reactive MongoDB, WebClient, and testing with StepVerifier.
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Learn how to build a production-ready AI customer-support chatbot in Java using LangChain4j 1.0.0 and Spring Boot 3.5 — covering @AiService declarative chat, per-user memory with JPA persistence, live order-lookup via @Tool calling, a REST API, and a lightweight chat UI.
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Build a complete CI/CD pipeline for a Spring Boot 3.5 REST API using GitHub Actions — automated testing on every PR, Docker image builds, and zero-touch SSH deployment on every merge to main.
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Build a real-world order processing system using Apache Kafka and Spring Boot 3.4 — a producer service that publishes domain events, multiple consumer services that react independently, dead-letter topic error handling, and JSON serialisation with schema-safe records.
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Learn how to build a complete Retrieval-Augmented Generation (RAG) pipeline using Spring AI 1.1, PostgreSQL pgvector, and OpenAI — ingest any document and answer natural-language questions about it via a clean REST API.
Read More →Deep dive into Java 21 Virtual Threads with production experiences, performance benchmarks, and best practices for building highly concurrent applications.
Read More →Practical techniques for optimizing Java application performance, from JVM tuning to code-level improvements with measurable results.
Read More →Learn how to build, deploy, and operate production-ready microservices using Java, Spring Boot, and Kubernetes with real-world examples.
Read More →A step-by-step guide to migrating enterprise applications from Spring Boot 2.x to Spring Boot 3 with Java 21, including code examples and best practices.
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