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Tag: scalability

Open Sourcing Peloton, Uber’s Unified Resource Scheduler

First introduced by Uber in November 2018, Peloton manages resources across large-scale, distinct workloads, combining separate compute clusters.

Scaling Infrastructure Management with Grail

Uber Engineering built Grail, our infrastructure management platform, to aggregate the current state of our systems into a single global view, spanning all zones and regions.

Engineering More Reliable Transportation with Machine Learning and AI at Uber

In this article, we highlight how Uber leverages machine learning and artificial intelligence to tackle engineering challenges at scale.

Presenting the Engineering Behind Uber at Our Technology Day

A daylong event at Uber’s Palo Alto office, sponsored by our LadyEng group, showcased the technical work across Uber Engineering as well as the people who are leading and building these projects. Here are some of the resulting presentations.
Using Triggers On Schemaless, Uber Engineering's Datastore Using MySQL

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.

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.
My Uber Engineering Intern Experience on the Supply Engine Team

My Uber Engineering Intern Experience on the Supply Engine Team

Kate Park's Uber internship experience on the Supply Engine team. The first of a series of articles on what it's like to intern at Uber Engineering.

Meet Supply Engineering at Uber, Building the Future of Work

Here’s a look inside the world of Supply Engineering at Uber, obsessed with creating the best, most scalable earnings platform for our partners in over 330 cities.

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