Most performance failures do not emerge from traffic alone—they emerge from the weight of the data each request drags through the system. A site can feel fast when the underlying dataset is small, yet slow, unstable, or outright unresponsive once real production...
Third-party scripts have quietly become one of the biggest sources of noise, distortion, and false failures in load testing. Every marketing tool, analytics pixel, optimization framework, and widget adds another remote dependency your application doesn’t control....
Auto-scaling promised to eliminate the guesswork of capacity planning. Set your rules, define your metrics, and let the cloud handle the rest. At least, that’s how it looks on the slide decks. In practice, scaling rules rarely behave the way you expect. They lag,...
GraphQL changed how frontends consume data—and in doing so, it changed how APIs fail under pressure. Unlike REST, where each route defines what data returns, GraphQL inverts control. The client decides what fields to fetch, how deep to traverse, and how often to...
Nobody likes a ticketing crash at 9AM. Yet it happens all the time—concert tickets vanish, airline sites stall, checkout screens freeze. Behind every failed ticket drop or booking surge lies the same culprit: a system unprepared for high concurrency. High concurrency...
When infrastructure disappears, so do the assumptions that performance engineers rely on. Serverless computing—via AWS Lambda, Azure Functions, and Google Cloud Functions—promises infinite scalability and zero operations. But in practice, it replaces the steady-state...
