The Apache Flink® Conference
Stream Processing | Event Driven | Real Time
San Francisco April 9–10, 2018
Many marketplace products (e.g pricing, positioning etc.) in Uber require intensive realtime optimizations. Such applications help Uber automatically maintain marketplace reliability, generate market insights and improve the network efficiency across more than 600 cities in realtime. Underneath, Uber engineers leverage Apache Flink to build a platform that not only runs compute intensive optimization models, but also very quickly reacts to rapid changes in marketplace. In this talk, I will cover the compute platform that leverages Apache Flink to i.) aggregate billions of realtime and forecasted demand and supply level information across the globe. ii.) trigger on-demand optimization models to respond to changes in marketplace and iii.) scale both horizontally and vertically as we expand the platform to onboard new applications and experiences.