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 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