Next Online/Hands-On Workshop: Intro to Developer Productivity Engineering – January 14, (09:00 AM – 11:30 AM PST). Learn more here.
Individual Developer Productivity Challenges and Pain Points
Prove and quantify the impact of DPE tools and best practices to your project team with hard savings from faster feedback cycles and demonstrably more efficient troubleshooting.
Leverage data to improve the reliability of your toolchain, provide visibility to local and remote build and test performance and failures, and more quickly determine the root cause of problems.
Track trends and gain insights into build and test cycle times and failure rates to anticipate and take preventive measures that allow you to avoid performance regressions.
Gradle Enterprise provides analytics for every build that can be aggregated to determine average build time savings. These savings can be easily translated to hard developer cost savings. This and other ROI contributions can be modeled and tracked using our online calculator. This, in turn, can be used to build a business case for DPE. Your investigation of developer productivity solutions should include the evaluation of the following key Gradle Enterprise capabilities.
- Build Cache and Test Distribution
Build Cache and Test Distribution acceleration technologies address the pain of unnecessary developer unproductive time waiting for builds and tests to complete. They will make you and your team members happier and more productive with faster feedback cycles that keep you in the creative flow longer and minimize context switching. Typical Gradle Enterprise customers cut build & test times 50-90% using just one of these technologies.
- Build Scan™
A Build Scan gives you deep data for every build, so you can quickly find the root cause and fix your own problems without re-running broken builds to reproduce problems or requiring the help of your build engineering team. When help is required, collaborating with the build engineering team on fixes is as easy as sharing a Build Scan link. In combination with failure analytics (described next), Gradle Enterprise customers report reducing troubleshooting (MTTR) time on average by two-thirds.
- Failure Analytics
Build and Test Failure Analytics leverage data to proactively find unreliable builds and tests, learn how many people and environments are affected by problems (like flaky tests), share information about them, and understand the root cause efficiently. As a result, you and your team will build confidence in the build logic and test suites which encourages a culture of accountability and good behavior.
- Trends & Insights
Trends & Insights enable you to observe performance and reliability baselines and anomalous trends. With these insights, you can respond proactively to systemic problems and longer-term performance regressions rather than being reactive to stakeholder complaints. Trends & Insights, combined with efforts to monitor and act on them, provides the foundation for building an always-learning and continuously improving developer culture.