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 essential ideas behind distributed systems, explained without the PhD jargon. What breaks when you cross a process boundary, and the patterns that exist to handle it.