Measure, Don’t Guess: Observability as the key to performance tuning Software Delivery

The golden rule of application performance tuning: measure, don’t guess. Yet when it comes to developer productivity, too many teams still guess. Builds are slow, tests are flaky, CI feels overloaded—and the default response is to throw hardware at the problem or hope it goes away.

In this talk, we’ll apply the performance engineering mindset to developer experience, showing how observability data from Develocity can profile builds and tests just like applications. By measuring and optimizing build and test performance, teams directly improve the DORA metrics that matter: shorter lead time for changes, lower change failure rates, faster recovery, and higher deployment frequency.

Developer productivity is a performance problem. If you want faster delivery and happier developers, the path is the same as for applications in production: measure first, then optimize.

Slides

Author

  • Trisha Gee

    Trisha is a software engineer, Java Champion and author. Trisha has developed Java applications for finance, manufacturing and non-profit organisations, and she's a lead developer advocate at Gradle.

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