Tag
How distributed systems stay up when traffic moves from hundreds to hundreds of thousands of requests per second — the architectural decisions, trade-offs, and failure modes that actually matter at scale.
A field guide to the microservices patterns that earn their keep — what problem each one solves, when to reach for it, and what it looks like in Java code.
A practical introduction to microservices architecture — what it is, why teams adopt it, the core building blocks, and the trade-offs you inherit the moment you move away from a monolith.
The structure and conventions that make Gradle multi-module projects maintainable as they grow — module boundaries, build logic reuse, and the traps to avoid.
The most-preached and least-followed rule of microservices. Why teams bend it, what breaks when they do, and the practical patterns for keeping services data-independent.
The BFF pattern, why it often beats a single generic API, and how to avoid turning your BFFs into a new kind of monolith.