To celebrate International Women's Day, we spoke with women from across the company whose work helps deliver impactful experiences for Uber users worldwide.
Improving the performance and developer velocity for the Uber Eats web application involved a complete rewrite, developing a new architecture and using Fusion.js.
Uber recounts its many engagements with the open source community during 2019, from contributing projects to joining and founding new open source support organizations.
Uber’s observability engineers present their work on distributed tracing (Jaeger), sampling (XYS), and metrics processing (M3).
To simplify the Uber Eats experience for our restaurant-partners, we built Menu Maker, a web-based tool for seamlessly managing menus on the Uber Eats app.
Ever wondered what it’s like to work in tech at Uber New York City? Just blocks from Times Square and Bryant Park, Uber’s new office in midtown Manhattan is home to more than a dozen teams, hundreds of employees (and growing), and a wide variety of engineering roles.
Part of Uber's open source M3 metrics system, our query engine can support real-time, large-scale computation and multiple query languages.
Uber’s Observability team built a robust, scalable metrics and alerting pipeline to detect, mitigate, and notify engineers of issues as they occur.
In this article, we outline how Uber Engineering developed UberSignature, a new feature that allows iOS users to draw and store touchscreen signatures on the UberRUSH app.
Get to know Uber Engineering New York City and the exciting work we do on UberEATS, UberRUSH, and Uber's Observability platform.
This article is about developing Uber Engineering's open source distributed tracing system, Jaeger.