Building a Scalable Experimentation Platform

Jul 02, 12:00PM PDT(07:00PM GMT).
  • Free 200 Attendees
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 and Experimentation platform, or T-REX. T-REX has gone a long way since its inception in 2009 and over the years we have faced many problems and unique challenges.
Alexander will present a retrospective on the evolution of the platform’s infrastructure, some foundational principles and decisions that shaped it

This event is hosted by San Francisco Big Analytics Meetup Group

Alexander Ivaniuk

Alexander is a Senior Staff Software Engineer at LinkedIn and 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, and platformization problems. Prior to joining LinkedIn in 2015, Alexander had built and improved various distributed and high-performant systems in Microsoft, Yandex, and other companies
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