Practical, in-the-trenches articles on Spring Boot microservices, Spring AI, Apache Kafka, legacy Java modernization, Apache Spark and cloud-native delivery — written by the architects who build them.
Spring AI brings LLMs into the Spring ecosystem with the same abstractions Java teams already know. Here's how to wire up chat, prompts, and retrieval-augmented generation in a real Spring Boot service.
Event-driven architecture decouples services and lets them scale independently — but only if you get topics, idempotency, and ordering right. A practical field guide with Spring Boot.
Microservices are an organisational and operational choice as much as a technical one. Here's how to structure Spring Boot services so they stay independent, resilient, and observable.
Big-bang rewrites fail. The reliable way to break up a monolith is the strangler-fig pattern: extract one capability at a time while the system keeps running.
Keyword search misses results that don't share words with the query. Vector search understands meaning. Here's how to build it in Java with Elasticsearch and Spring AI.
Going cloud-native is more than 'lift and shift'. Here's how to take a Spring Boot service to Kubernetes on AWS or GCP with the health checks, autoscaling, and pipelines that make it reliable.
Stuck on Java 8? You're leaving performance, security, and developer productivity on the table. Here's a safe, incremental path to the Java 21 LTS.
Moving terabytes between systems by hand is slow and fragile. Apache Spark turns a one-off migration into a partitioned, validated, restartable pipeline.