Ready to level up your #DeveloperProductivityEngineering skills? Check out our upcoming schedule and start learning 📕
1/24 Intro to #DPE - https://gradle.com/training/intro-to-dpe-workshop/?time=1674518400
1/25 #DevProdEngLowdown: The #JetBrains #Kotlin Compiler Team’s Developer Productivity Wins - https://gradle.com/training/next-devprodeng-lowdown-the-jetbrains-kotlin-compiler-teams-developer-productivity-wins/?time=1674604800
1/26 Configuring #Gradle Build Tool with Kotlin - https://gradle.com/training/configuring-gradle-build-tool-with-kotlin-2/?time=1674691200https://www.facebook.com/photo.php?fbid=626907202769572&set=a.528530279273932&type=3
Description Developer Productivity Engineering (DPE) is a software development practice used by leading software development organizations to maximize developer productivity and happiness. It uses acceleration technologies to speed up local and CI builds and tests and data analytics to proactively improve the reliability of the developer toolchain and make failure troubleshooting more efficient. In this hands-on training with labs we will demonstrate DPE best practices and tools in action—using examples from Java projects that rely on Maven or the Gradle build tool. Objectives At a high level you will learn how to: Leverage build and test acceleration technologies like Build Cache and Test Distribution to instantly speed up feedback cycles as much as 90%. Cut debugging and troubleshooting time in half using data analytics such as Build Scan™ and failure dashboards to rapidly identify incident root causes and better manage avoidable failures like flaky tests. Continuously improve performance and guard against regressions through metric, KPI and trend observability using performance and trend dashboards. Integrate with Git/Jenkins The end-result of pursuing DPE excellence will be a transformative and highly satisfying developer experience. Duration 2.5 hour training session followed by 30-minutes Q&A. Instructor Raju Gandhi Developer Advocate @ Gradle Audience The target …
In this episode of #DevProdEng Showdown! Live from #DPESummit, #DeveloperProductivityEngineering experts discussed how to help engineers stay productive and reduce the time it takes to build new product features by staying up-to-date on the latest dev tech.
👊 Aubrey Chipman, #Netflix
👊 Luke Daley, #Gradle
👊 Simona Bateman, #Google
👊 Yiming Wang, #Linkedin
Watch the full on-demand episode here - https://youtu.be/n7ajDU0j6XA
Join @kageiit and me at 10am PST today to learn about how we make developers more productive at @UberEng
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RT @gradle
🕺 This Thursday 💃
🚗 DPE Lowdown: How Uber does #DeveloperProductivityEngineering with @kageiit and @tsmith
➡️ 10am - 11am PT on July 14th
🤓 Register Now - https://gradle.com/training/devprodeng-lowdown-how-uber-does-developer-productivity-engineering/?utm_campaign=lowdown&utm_source={SOCIAL_NETWORK}&utm_medium=social
https://twitter.com/gradle/status/1546529508676845577
You can’t facilitate Developer Productivity Engineering without collecting and analyzing data from developer behavior and software production tools. You also need the right tools to make sense of all this data to prioritize and make it actionable. In this upcoming Developer Productivity Engineering meetup webcast, we talk to Gautam Korlam and Ty Smith who work on the Developer Productivity and Experience team at Uber. We’ll explore the platform they built to improve the productivity of their engineers to ultimately ship new features with increased velocity and reliability to Uber users.