Skip to footer

kafka - search results

Using Triggers On Schemaless, Uber Engineering’s Datastore Using MySQL

The details and examples of Schemaless triggers, a key feature of the datastore that’s kept Uber Engineering scaling since October 2014. This is the third installment of a three-part series on Schemaless; the first part is a design overview

Designing Schemaless, Uber Engineering’s Scalable Datastore Using MySQL

The making of Schemaless, Uber Engineering’s custom designed datastore using MySQL, which has allowed us to scale from 2014 to beyond. This is part one of a three-part series on Schemaless.

In Project Mezzanine we described how we migrated Uber’s

ETA Phone Home: How Uber Engineers an Efficient Route


Get a ride at the tap of a button; it’s as simple as transportation gets. But what looks simple on Uber’s frontend actually consists of complex architecture and services on the backend, including sophisticated routing and matching algorithms that direct …