In this workshop by Gradle, we will discuss “Developer Productivity Engineering” (DPE).

If you are not familiar with DPE, it is a new software development discipline that uses data analytics and acceleration technologies to speed up critical software development processes—from builds to testing to CI—and make them more efficient.

In this hands-on training with labs, we will describe DPE processes and best practices in action—using examples from Java projects that rely on Maven or Gradle build tools.

At a high level, you will learn how to:

Leverage build and test acceleration technologies like build caching and distributed testing to instantly speed up feedback cycles as much as 90%. Cut debugging and troubleshooting time in half using data analytics to rapidly identify incident root causes and better manage avoidable failures like flaky tests. Continuously improve performance and guard against regressions through metrics, KPI, and trend observability.

More specifically, this training will cover how to:

* Accelerate debugging and root cause analysis leveraging build scans.
*Achieve significant reductions in local and remote build times using build caches.
* Avoid performance regressions and continuously improve toolchain reliability with performance management analytics
* Detect, prioritize, and eliminate the most damaging flaky tests utilizing a test dashboard.
* Integrate with Git/Jenkins

Pursuing DPE excellence will be a transformative and highly satisfying developer experience.