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Latest Articles
5 SEP

Meet Michelangelo: Uber’s Machine Learning Platform

Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML solutions at scale.

24 AUG

Deploying More Reliable Apps with Uber Engineering’s XP Background Push

Uber Engineering's XP Background Push mitigates bugs safely and efficiently in real time, facilitating more seamless user experiences on our apps.

2 MAY

Redesigning Uber Engineering’s Mobile Content Delivery Ecosystem

How Uber Engineering re-architected the content delivery feed and backend ecosystem of our new driver app to deliver an enhanced user experience.

2 FEB

Evolving Distributed Tracing at Uber Engineering

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

6 DEC

Cherami: Uber Engineering’s Durable and Scalable Task Queue in Go

How Uber engineered Cherami, the resilient, scalable, distributed task queue system written in the Go programming language.

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.

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