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EVENT DETAILS |
All, this is an online event: please register at zoom meeting: https://us02web.zoom.us/webinar/register/WN_A0j86rsTS3yR8W5BijIMeg
This is the reschedule event originally scheduled in Feb. The new event will be virtual event. AICamp will help zoom the event
Agenda
12:00 pm -- 12:05 Introduction
12:05 pm -- 12:50 talk
12:50 pm -- 12:55 Q & A
13:00 pm -- event closed
LinkedIn runs up to 35,000 A/B experiments simultaneously on a user population of 673 mm users. Operation at such a scale is made possible by the LinkedIn Targeting, Ramping & Experimentation platform, or T-REX. T-REX has gone a long way since its inception in 2009 & over the years we have faced many problems & unique challenges. Alexander will present a retrospective on the evolution of the platforms infrastructure, some foundational principles & decisions that shaped it
Also checkout speaker's blog related to this work
https://engineering.linkedin.com/blog/2020/making-the-linkedin-experimentation-engine-20x-faster
Speaker: Alexander Ivaniuk (LinkedIn)
Alexander is a Senior Staff Software Engineer at LinkedIn & the tech lead of the LinkedIn experimentation platform, who has been working on taking A/B testing infrastructure to the next level by solving scalability, robustness, & platformization problems. Prior to joining LinkedIn in 2015, Alexander had built & improved various distributed & high-performant systems in Microsoft, Yandex, & other companies
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