Tag
What actually breaks when a Java backend grows from hundreds of users to hundreds of thousands — and the concrete patterns, code, and trade-offs that keep it standing.
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.
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.
Backoff, jitter, bounded attempts, and the retriable-vs-non-retriable error classification that separates resilience from retry storms.
How circuit breakers actually behave in production, tuning the state transitions, and the subtle interactions with retries and timeouts that cause most outages.