Stack Overflow: How We Do Monitoring

Sessionizing Uber Trips in Real Time

Uber’s many data flows required modeling the data associated with a specific task, such as a rider trip, into a state machine. The state machine lets engineers focus on just the events needed to successfully accomplish a trip. In one sense, Uber’s challenge of efficiently matching riders and drivers in the real world comes down to the question of how to collect, store, and logically arrange data.

How Uber Beacon Helps Improve Safety for Riders and Drivers

M3: Uber’s Open Source Large-Scale Metrics Platform for Prometheus

M3, Uber’s open source metrics platform for Prometheus, facilitates scalable and configurable multi-tenant storage for large-scale metrics. To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems at any given time. As part of our robust and scalable metrics infrastructure, we built M3, a metrics platform that has been in use at Uber for several years now.