Next Online/Hands-On Workshop: Intro to Developer Productivity Engineering – January 14, (09:00 AM – 11:30 AM PST). Learn more here.
Build Engineering Challenges and Pain Points
Your biggest challenge is managing the build process with frequent understaffing. This problem only exacerbates these additional challenges and pains:
Inefficient use of compute resources leading to unnecessarily slow build and test cycle times
The dark costs of DevOps due to inadequate tooling for observing and tracking of compute resource consumption
A lack of predictability of build failures and a reliable process to minimize mean-time-to-resolution (MTTR)
Gradle Enterprise acceleration technology speeds up every Gradle or Maven build from 50-90%. Analytics report individual and aggregate average build time savings which can be easily translated to hard compute 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 to make Gradle Enterprise a core component of your DevOps toolchain. Your investigation of Gradle Enterprise should include the evaluation of the following key capabilities.
- CI Build Cache and Distributed Testing
CI Build Cache, which supports both Gradle and Maven build tools, allows you to share and reuse unchanged build and test outputs across the team. This speeds up CI builds since cycles are not wasted re building components that are unaffected by new code changes. You can learn more about how Build Cache differs from binary repositories here.
For Cloud hosted services (e.g., AWS deployments) with elastic usage-based pricing, the improvements you can achieve with Gradle Enterprise CI Build Cache and Resource Profiling tools (described next) translate directly and proportionately into lower invoice amounts. Frequently, this reduction more than covers the cost of your Gradle Enterprise license.
For internal CI and DevOps teams, this means you can handle the inevitable growth in build demand with existing resources and avoid the expense of adding capacity. Typical Gradle Enterprise customers cut build & test times 50-90% using just one of these technologies.
- Resource Profiling
Build and test configuration is often very complex and if not better optimized it will lead to inefficient build and test execution. For example, over time more and more build actions that could be cached are executed unnecessarily. Resource Profiling leverages Build Scan™ to help you identify build actions that put a lot of load on your CI infrastructure. You can use this intelligence to focus your continuous efforts to reduce loads where the impact of your efforts will be highest.
- Performance and Failure Analytics & Trends
Flaky tests and other avoidable failures consume a lot of unnecessary CI resources since all those builds that failed unnecessarily must be run at least one more time. Gradle Enterprise provides failure analytics tools (including flaky test management capabilities) for minimizing avoidable failures, and as a result, saves CI resources.
Performance and failure trend dashboards enable CI engineers to monitor performance and reliability against baselines and observe anomalous build behaviors and trends. With actionable insights, CI engineers and dev teams can collaborate and respond more proactively to systemic near-term problems and longer-term performance regressions, rather than being complaint driven.
At the same time, improvements you make to CI build performance and MTTR for failures in the face of relentless growth of your code base, can be used to prove your added value and make the case for additional staff and compute resources.