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Scaling Uber’s Realtime Optimization with Apache Flink

Scaling Uber’s Realtime Optimization with Apache Flink

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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.
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