Diffy - Predicting and Preempting Regressions in Services - Puneet Khanduri & Prashant Khanduri

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Diffy - Predicting and Preempting Regressions in Services - Puneet Khanduri & Prashant Khanduri, Diffy (Beginner Skill Level)

Diffy is a tool used at Twitter to automatically catch regressions in our backend services before they are deployed to production. Diffy is open source and has been adopted into modern continuos deploy workflows by the larger community. This talk will cover the fundamental concepts behind Diffy and how its automation helps achieve peace of mind for service owners, devops, and QA folks.

About Puneet:
Puneet Khanduri developed Diffy at Twitter. He currently heads the ML&AI Services team within the larger Cortex group and also helped start Twitter's India Engineering office as the site lead for 1.5 years while driving a stealth project across engineering, product, and design. Currently, Puneet heads the ML Platform Services team at Twitter. Prior to Twitter, Puneet focused on small footprint JVM design and datacenter networking protocols as a researcher at Sun Microsystems (acquired by Oracle). Puneet has given multiple talks at various conferences including Google's GTAC and O'Reilly's Velocity.

About Prashant
Prashant is a solutions architect with over 8 years of experience in leading product design and implementation of technology solutions and processes. Prior to Diffy, he made significant technical contributions as a engineering manager / tech lead at Affirm, Jawbone, Hearsay Systems and as a data scientist at Microsoft (Core Ranking, Bing) and Amazon (Personalizations team). He holds a Masters degree in Computer Science (focus on ML / AI) from University of Southern California, US and a Bachelors in Computer Engineering from University of Waterloo, Canada. He is excited about eliminating logistical friction developers incur when trying to solve real world problems.
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