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MySQL

1 NOV

Dockerizing MySQL at Uber Engineering

In this article, we take a look at Schemadock, Uber Engineering's tooling solution for managing our increasing number of MySQL clusters.

19 OCT

Designing Euclid to Make Uber Engineering Marketing Savvy

In this article, we take a look at Euclid, Uber Engineering's Hadoop and Spark-based in-house marketing platform.

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.

26 JUL

Why Uber Engineering Switched from Postgres to MySQL

Uber Engineering explains the technical reasoning behind its switch in database technologies, from Postgres to MySQL.

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 JAN

Using Triggers On Schemaless, Uber Engineering’s Datastore Using MySQL

The details and examples of Schemaless triggers, a key feature of the datastore that’s kept Uber Engineering scaling since October 2014. This is the third installment of a three-part series on Schemaless; the first part is a design overview and the second part is a discussion of architecture.

15 JAN

The Architecture of Schemaless, Uber Engineering’s Trip Datastore Using MySQL

How Uber’s infrastructure works with Schemaless, the datastore using MySQL that’s kept Uber Engineering scaling since October 2014. This is part two of a three-part series on Schemaless; part one is on designing Schemaless.

12 JAN

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. This is part one of a three-part series on Schemaless.

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