Harnessing Data for DevProd Decisions: A Case Study
Build Scan and Develocity are game changers in collecting data on key elements of developer productivity: building and testing code. This innovation lies in the seamless integration of data collected from continuous integration environments with data collected from developer environments. For the Gradle Build Tool project, this represents more than a million Build Scans retained in the public Develocity instance at https://ge.gradle.org.
Some of that data is leveraged to show the different Develocity screens. But the system contains so much more data. What can we learn from it? What kind of analysis can we run on it?
In this session, we will explore how the Gradle Build Tool Engineering team leveraged the data collected on https://ge.gradle.org to identify potential issues, measure the impact of changes, and confirm that they have a positive effect.
What did we improve? What surprised us? Join this session to discover the answers to those questions.
Take it further with Develocity
This session walks through how the Gradle open-source project leverages Develocity Reporting and Visualization to monitor and improve its build setup. You’ll get the key learnings from looking at the data collected from developer and CI builds, aggregated thanks Develocity.
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Meet the speaker
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Louis Jacomet
Louis Jacomet has been perfecting his knowledge of Java for more than 20 years. Always a developer at heart, his role evolved over the last years to include technical team leading, coaching, and some management. In addition to the bits and bytes, Louis is interested in people management skills mandatory to create a productive project team. To complete the buzzword bingo, Louis is interested in agile practices for the visibility, communication, and result orientation it promotes. After working remotely from Belgium for Terracotta, with a focus on Ehcache, Louis is now part of the Gradle Build Tool team.
