In this article, we discuss deck.gl, an open sourced, WebGL-powered framework specifically designed for exploring and visualizing data sets at scale.
Seemingly small inefficiencies are greatly magnified as Uber's business scales. In this article we’ll explore design considerations and unique implementation characteristics of Pyflame, Uber Engineering's high-performance Python profiler implemented in C++.
In March 2016, we launched our first public bug bounty program. Here’s an overview, by the numbers, of our first 100 days.
Take a look into uReplicator, Uber’s open source solution for replicating Apache Kafka data in a robust and reliable manner.
Uber Engineering explains the technical reasoning behind its switch in database technologies, from Postgres to MySQL.
The end of a two-part series on the tech stack that Uber Engineering uses to make transportation as reliable as running water, everywhere, for everyone, as of spring 2016.
A team profile of the people and technical work of Uber Engineering Amsterdam, and what it’s like to be a part of the team.
The data visualization team in Uber Engineering delivers intelligence through crafting visual exploratory data analysis tools. Here's what some of these visualizations look like.
To show how a microservice is implemented in Uber Engineering's ecosystem, we look at the development of Tincup, our currency and exchange rate service.
How to develop with Uber Engineering's Ringpop, an open source library developed to make our applications cooperative and scalable.
Announcing Uber’s Open Source Site, highlighting some of the best open source projects from our public Github page.