申请试用
HOT
登录
注册
 
Scaling Uber’s Realtime Optimization with Apache Flink

Scaling Uber’s Realtime Optimization with Apache Flink

青色的海牛
/
发布于
/
2871
人观看
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.
13点赞
4收藏
3下载
确认
3秒后跳转登录页面
去登陆