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8 MAR

Mastermind: Using Uber Engineering to Combat Fraud in Real Time

Uber Engineering's fraud prevention team built the Mastermind rules engine to detect highly evolved forms of fraud at large scale in a fraction of a second.

2 FEB

Evolving Distributed Tracing at Uber Engineering

This article is about developing Uber Engineering's open source distributed tracing system, Jaeger.

27 SEP

Pyflame: Uber Engineering’s Ptracing Profiler for Python

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++.

2 SEP

How Uber Engineering Massively Scaled Global Driver Onboarding

A behind-the-scenes look at how Uber Engineering continues to develop our virtual onboarding funnel which enables hundreds of thousands of driver-partners to get on the road and start earning money with Uber.

21 JUL

The Uber Engineering Tech Stack, Part II: The Edge and Beyond

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.

19 JUL

The Uber Engineering Tech Stack, Part I: 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.

20 APR

Rewriting Uber Engineering: The Opportunities Microservices Provide

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.

16 FEB

How Uber Engineering Evaluated JSON Encoding and Compression Algorithms to Put the Squeeze on Trip Data

Imagine you have to store data whose massive influx increases by the hour. Your first priority, after making sure you can easily add storage capacity, is to try and reduce the data’s footprint to save space. But how? This is the story of Uber Engineering’s comprehensive encoding protocol and compression algorithm test and how this discipline saved space in our Schemaless datastores.

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