Architecture

The fastest request is one you don’t make. Caching trades storage for speed, serving precomputed results instead of recalculating them. But caching done wrong is worse than no caching—stale data, inconsistencies, and debugging nightmares. When to Cache Cache when: Data is read more often than written Computing the result is expensive Slight staleness is acceptable The same data is requested repeatedly Don’t cache when: Data changes constantly Every request needs fresh data Storage cost exceeds compute savings Cache invalidation is harder than recomputation Cache Placement Client-Side Cache Browser cache, mobile app cache, CDN edge cache: ...

APIs are contracts. Breaking changes break trust. But APIs must evolve—new features, better designs, deprecated endpoints. The question isn’t whether to change, but how to change without leaving clients stranded. Why Versioning Matters Without versioning, you have two bad options: Never change: Your API calcifies, accumulating cruft forever Change freely: Clients break unexpectedly, trust erodes Versioning gives you a third path: evolve deliberately, with clear communication and migration windows. Versioning Strategies URL Path Versioning The most explicit approach—version in the URL: ...

Request-response is synchronous. Events are not. That difference changes everything about how you build systems. In event-driven architecture, components communicate by producing and consuming events rather than calling each other directly. The producer doesn’t know who’s listening. The consumer doesn’t know who produced. This decoupling enables scale, resilience, and evolution that tight coupling can’t match. Why Events? Temporal decoupling: Producer and consumer don’t need to be online simultaneously. The order service publishes “OrderPlaced”; the shipping service processes it when ready. ...

Learn how circuit breakers prevent cascade failures in distributed systems by detecting failures early and failing fast instead of waiting for timeouts.

Learn how to design idempotent APIs that handle duplicate requests safely, making your systems more resilient to network failures and client retries.