Gradle 6.0 is the culmination of several years of innovative improvements in Dependency Management. Embracing the idea that there is more to software composition and reuse than just putting a set of jar files on the classpath, Gradle now offers a new metadata format to richly define software components that are often made up of multiple files, different variants and specific constraints on their dependencies.
Testing takes the overwhelming majority of time during software builds. A single test can waste countless hours of building time — a single failure may cause an entire CI pipeline to have to be re-run. Ugh.
In this post, I will show you how to identify slow and unstable tests using the new Tests Dashboard in Develocity 2019.4 for Gradle and Maven builds. The dashboard visualizes test results across many builds for tests executed by Gradle’s built-in Test task and Maven’s SureFire plugin.
Whether producing private or public components, most projects are built with multiple software libraries interacting together. Aside from knowing what to publish and how to do so, this webcast covers strategies for streamlining the publication and integration processes.
We pride ourselves by going the extra mile in our support channels, and we often get asked for help for both Scala and Sbt issues where Hydra is not always involved. It’s time to share some of the lessons we learned.
In this first installment we lay the foundation to understand how sbt works. We cover what a setting is, and we build an intuition of why it takes long for sbt to load a build in memory (on large projects loading the build can easily take more than 30 seconds!). On the way, we learn about a few utilities that are readily available at our fingertips and that can brilliantly help us debug problems (say goodbye to println statements!).
Although ephemeral builds can be nice to test changes in isolation, there are trade-offs for doing so. One of those trade-offs is dependency download times.
In Develocity 2019.3, the dependency download metrics in the performance and trends dashboards can be used to look at dependency download times and debug issues. For example, let’s look at the dependency download times for the Gradle project itself for all builds run in the last four weeks.
In this webinar, Hans Dockter, CEO & Founder of Gradle, talked about the emerging practice of developer productivity engineering, a discipline of using data to improve essential development processes from build/test to CI/CD.
Changing one dependency declaration can have unexpected side effects through its transitive dependencies. For an example of tightly-coupled dependencies, let’s look at a simple Spring Boot project with the following build.gradle file.
Have you ever had an infrastructure failure break your build, or perhaps been forced to stop working in order to fix broken build configuration? Changes to development infrastructure often happen unbeknownst to the engineers it serves. Many problems go unreported, but chip away at our productivity much more than we realize. It is important to identify and stop non-verification failures (those not caused by routine development, such as compile and test failures) before they disrupt your organization. To combat this, we are pleased to introduce new failure analysis tools.
Whether you use a mono-repository or multi-repository approach for your sources, managing dependencies is central to productivity by reusing artifacts and ensuring a quality build. A single incorrect dependency can break existing code, introduce a vulnerability or simply prevent your project from building.
Accelerate
Troubleshoot
Observe
