Uber’s mission is transportation as reliable as running water, everywhere, for everyone. Here's the first of a two-part series on the tech stack that Uber Engineering uses to make this happen.
Airports currently hold a significant portion of Uber’s supply and open supply hours (i.e., supply that is not utilized, but open for dispatch) across the globe. At most airports, drivers are…
Uber Engineering explains the technical reasoning behind its switch in database technologies, from Postgres to MySQL.
In this blog, we share how we improved the daily edit-build-run developer experience using DevPods, our remote development environment. We will start with some of the initial challenges, the pain…
Introduction “Immensely laborious calculations on inferior data may increase the yield from 95 to 100 percent. A gain of 5 percent, of perhaps a small total. A competent overhauling of the process of…
At Uber, magical customer experiences depend on accurate arrival time predictions (ETAs). We use ETAs to calculate fares, estimate pickup times, match riders to drivers, plan deliveries, and more.…
Push notifications are an integral channel for Uber Eats customers to discover new restaurants, valuable promotions, new offerings such as grocery and alcohol, and the perks of becoming a member,…
As Uber continues to grow, the sheer volume of data we handle and the associated demands for data access have multiplied. This rapid expansion in data size has given rise to escalating costs in terms…
Uber has been on a multi-year journey to reimagine our infrastructure stack for a hybrid, multi-cloud world. The internal code name for this project is Crane. In this post we’ll examine the original…
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