Session Details
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.
meet the speaker
Trisha Gee
Trisha Gee is a Java Champion, author, and internationally recognized speaker with over two decades of experience in software development. Known for her deep expertise in Java, high-performance systems, and developer productivity, Trisha has worked as a developer and leader in organizations ranging from startups to global enterprises. She’s passionate about sharing knowledge and helping developers write more expressive and efficient code.
Trisha is the author of multiple technical books, including Head First Java (3rd Edition) and Getting to Know IntelliJ IDEA, and she frequently contributes to developer communities through blogs, webinars, and international conferences. She’s also a strong advocate for grassroots learning and regularly supports local user groups and meetups to help developers connect, grow, and thrive.
When she’s not writing or coding, she’s championing inclusive practices and mentoring the next generation of developers.