Shubham Jha

@shubham321

I’m Shubham, a Software Developer at Keploy, focused on API testing, test automation, and building reliable systems using real traffic and open-source tools. I enjoy simplifying complex testing workflows and improving developer productivity through smart tooling. I actively explore open-source solutions, DevOps practices, and modern testing strategies to help teams deliver reliable software faster.
1 Entradas
0 Fotos
0 Videos
Actualizaciones Recientes
  • Do We Need Benchmark Software Testing?

    Benchmark software testing exists to replace assumptions with facts. It helps DevOps engineers and software engineers clearly understand how changes impact performance, reliability, and scalability. In real-world systems, performance issues often surface only after deployment—triggering late-night alerts, urgent log investigations, and costly fixes that could have been avoided.
    Without proper benchmarking, teams often ship “working” code that silently degrades performance. This usually happens because benchmarking is done incorrectly—using synthetic test data, unrealistic workloads, or relying only on averages that hide critical edge cases.
    By creating a meaningful performance baseline and tracking the right metrics, teams can detect regressions early. Even more importantly, capturing and replaying real production traffic allows benchmarks to reflect actual user behavior, uncover hidden bottlenecks, and expose edge cases before users are affected.
    So yes—benchmark software testing is not optional if you care about performance, stability, and confidence in your releases. When done correctly, it becomes a repeatable, accurate, and scalable process that grows with your environments and prevents expensive production failures before they happen.
    Do We Need Benchmark Software Testing? Benchmark software testing exists to replace assumptions with facts. It helps DevOps engineers and software engineers clearly understand how changes impact performance, reliability, and scalability. In real-world systems, performance issues often surface only after deployment—triggering late-night alerts, urgent log investigations, and costly fixes that could have been avoided. Without proper benchmarking, teams often ship “working” code that silently degrades performance. This usually happens because benchmarking is done incorrectly—using synthetic test data, unrealistic workloads, or relying only on averages that hide critical edge cases. By creating a meaningful performance baseline and tracking the right metrics, teams can detect regressions early. Even more importantly, capturing and replaying real production traffic allows benchmarks to reflect actual user behavior, uncover hidden bottlenecks, and expose edge cases before users are affected. So yes—benchmark software testing is not optional if you care about performance, stability, and confidence in your releases. When done correctly, it becomes a repeatable, accurate, and scalable process that grows with your environments and prevents expensive production failures before they happen.
    0 Commentarios ·0 Acciones ·64 Views ·0 Vista previa
Quizás te interese…