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Site title: Load Testing & Website Performance Tools - LoadView
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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. Under real traffic, most of them behave “fine enough.” Under synthetic load, they behave like landmines, o...
Modern load testing walks straight into a paradox. You want realistic transactions, real authentication flows, and real system behavior under pressure. But the more “real” your tests get, the easier it is to leak sensitive data, violate compliance boundaries, and create forensic nightmares hidden inside test logs, agent machines, or replica databases. Performance test...
AI agents are changing what “load” means. Traditional load testing was built for web pages, APIs, and transactions—systems that behave predictably under stress. AI-driven workloads don’t. Their inputs vary in length, complexity, and context. Their processing is probabilistic, not deterministic. Their performance depends as much on GPU scheduling and token generation a...
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, overreact, or stay asleep when traffic surges.
These failures aren’t dramatic outages—they’re quiet...
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 repeat the request. That flexibility is liberating for developers, but it makes performance unpredic...
