A practical guide to setting up microbenchmarking in a Kotlin Multiplatform (KMP) project, treating performance measurement with the same discipline as unit testing. Covers creating a dedicated benchmark module, configuring kotlinx-benchmark with JMH annotations, managing benchmark lifecycle with setup/teardown, and storing versioned JSON results. Also includes a Gradle task for archiving results per release and a Python script using pandas and matplotlib to generate visual HTML reports for tracking performance over time. The full setup can be integrated into CI pipelines.

7m read timeFrom itnext.io
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