We Solved DevOps. What’s Next?

A presentation at NJFS Webinar November 2024 in November 2024 in by Baruch Sadogursky

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We solved DevOps. What’s next?

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Baruch Sadogursky - @jbaru ch × Developer Productivity Advocate × Gradle Inc × Development -> DevOps -> #DPE

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shownotes × × × × speaking.jbaru.ch Slides Video All the links!

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A decade of DORA x Deployment frequency x Change lead time x Change fail rate x MTTR

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Puppet dora report 2015

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Accelerate Dora report 2018

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Google cloud DORA report 20 24

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Cluster changes over time

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We figured the “devops” shit out. Done.

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Low performers over time

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Medium Performers over time

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High Performers over time

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elite Performers over time

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Why does lead time decline?!

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Dev Ops DevOps QA

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Process People DevOps Tools

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Productive Empowered Process Teams Productive ?!?! People DevOps Productive Kubernetes Tools

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Production system of your production systems

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The pain is real

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Developer Productivity Engineering DevOps Kubernetes Empowered Teams

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Developer productivity Enginee ring!

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Developer Productivity Enginee Foster Faster Feedback Collaborate through Effective Tooling Eliminate Toil for Developers Dedicated Organizational Mindset ring Embrace Rigorous Observability for Proactive Improvement Prioritize Automation and Eliminate Bottlenecks Outcomes Over Output

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Talk is cheap, show me the goods! 25

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Small DPE improvements make a × × × × × huge difference Generate code faster: Better IDE Test better: Testcontainers Enforce better code: Sonar Test more reliably: Flaky test detection Foster Faster Feedback:

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feedback efficiency × × × × IDE: Sub-seconds (I type, it marks it red) Build: Seconds CI: Minutes Production: Hours/Days

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Reverse dependency on distance from developers IDE Build CI Production Feedback Time Faster Slower Distance from Developers Expected Real

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It is slow!

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It is slow and the developers h ave no idea why!

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What is build? × × × × × Project setup Downloading the Internet Artifact generation: Compilation, packaging, etc Tests Artifact deployment

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What can go wrong? × × × × × Project setup Downloading the Internet Artifact generation: Compilation, packaging, etc Tests Artifact deployment

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When can it go wrong? At any time.

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The Build frustrates the developers

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Let’s ask Chatgpt

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What the actual f*ck?! × Skipping tests defeats the purpose of the build! × How about skipping compilation? × We want faster feedback, not less feedback

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What feedback do we want?

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Ci/cd pipeline quality gates It compiles Basic Integration tests Basic Unit tests Basic Quality Linting Quality Code coverage Dependency scanning SAST/DAST Quality Sec Static code analysis Sec Sec Secrets scanning Resource Utilization Nonfunc Nonfunc Load Testing Nonfunc Compliance

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Two types of feedback x e.g., CI/CD x we never wait for it x results are distracting x e.g., build x we’ll wait for it in the flow x we’ll be pissed off when it’s slow

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Reverse dependency on distance from developers Faster IDE Build CI Feedback Time Commit time synchronous asynchronous Slower Distance from Developers Production

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Ideal build time feedback It compiles Basic Integration tests Basic Unit tests Basic Quality Linting Quality Code coverage Dependency scanning SAST/DAST Quality Sec Static code analysis Sec Sec Secrets scanning Resource Utilization Nonfunc Nonfunc Load Testing Nonfunc Compliance

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Delightful build (pick two): ☑ provides max feedback ☑ fast

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Skip what can be skipped (but no more!)

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Avoidance: Incremental build × Don’t build what didn’t changed × Don’t build what isn’t affected

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Avoidance: Incremental build s hortcomings × Relies on produced artifacts × Relies on architectural decisions

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Avoidance: Caching × × × × Makes the build faster Makes the build faster for everybody Makes the build faster always Makes all parts of the build faster

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Avoidance: Predictive test selec tion × Learns code changes effects de-facto × Skips tests with high degree of confidence

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How test prediction works × Code changes and test results are thrown into learning model × After a while, the model predicts which changes fail which tests

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Test prediction What changed Where it changed Correlate with observed test failures Predictions which changes will fail which tests

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Black magic in action × The more tests a project has, the less they break × Refactorings in Java break tests less than in JavaScript

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Speed up what can’t be skipped

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Test parallelization × Use max power of local machine × (Yes, your boss should buy you the bleeding edge)

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Test distribution × × × × CI uses fan-out to speed-up tests Shouldn’t you enjoy it for local tests? Use the cloud to distribute test load RUN ALL THE TESTS!

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Why not just using ci fan-out? × Relying on shared CI infrastructure × CI infrastructure is not optimized for real-time feedback! × Are the agents as fast as they can be?

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Don’t let it slide

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Observe and improve × Measure local build times across time and environments × Detect downfacing trends × Find root causes and improve

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The gains are real!

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Developer productivity is the n ext frontier × We figured out (most of) DevOps × If you want to excel in your production environment, you know how × But what about your path to production? × There is work to be done there. × DPE is the way to go!

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Learn more and try it today! × × × × Take the Gradle/Maven Speed Challenge! Be DPE Agent of Change! Read the DPE Handbook! Watch the DPE Summit keynotes! x speaking.jbaru.ch

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y l r Ea e h g! t f of ricin arw 0 $50 Bird p dv5b e d o c e s U

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THANKS! Q&A and Twitter X/Bsky/Mastodon/LinkedIn ads: x @jbaruch x #DevOpsVision x speaking.jbaru.ch