Your application's performance suddenly degrades after a recent code change. How would you use benchmarks to pinpoint the source of the performance issue?
- Rely solely on user-reported issues to identify potential performance regressions.
- Roll back the code change and observe if the performance improves, assuming the recent modification is the root cause.
- Run benchmarks before and after the code change to compare performance metrics and isolate the impact of the recent modification.
- Utilize continuous integration (CI) pipelines to automatically run benchmarks on code changes and detect performance regressions early.
Benchmarks serve as a reliable tool to quantify the impact of code changes on performance. By conducting benchmark comparisons before and after the modification, developers can accurately assess the performance impact. Integrating benchmarks into CI pipelines enables automated performance monitoring, facilitating early detection of regressions and ensuring consistent application performance.
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