The Best of Uber
9 most popular Uber articles, as voted by our community.
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Uber on Golang
How We Built Uber Engineering’s Highest Query per Second Service Using Go
How the Go programming language helped Uber Engineering build and scale our highest queries per second microservice, for geofence lookups.
Uber on Machine Learning
How Uber Optimizes the Timing of Push Notifications using ML and Linear Programming
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,…
Uber on Mobility
Uber Engineering's Tech Stack: The Foundation
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.
Demand and ETR Forecasting at Airports
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 on MySQL
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.
Uber on Software Engineering
Why Uber Engineering Switched from Postgres to MySQL
Uber Engineering explains the technical reasoning behind its switch in database technologies, from Postgres to MySQL.
Devpod: Improving Developer Productivity at Uber with Remote Development
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…
These are some all-time favorites with Refind users.
Supercharging A/B Testing at Uber
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…
DeepETA: How Uber Predicts Arrival Times Using Deep Learning
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.…
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