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Uber AI, Data / ML, Engineering

Uber’s Highly Scalable and Distributed Shuffle as a Service

July 7, 2022 / Global

Engineering

Introducing Shadower: A Minimalistic Load Testing Tool

June 30, 2022 / Global

Engineering

How We Halved Go Monorepo CI Build Time

June 23, 2022 / Global

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Data / ML, Engineering

Enabling Offline Inferences at Uber Scale

June 15, 2022 / Global

Uber AI, Backend, Engineering, Mobile

Uber’s Real-Time Document Check

June 9, 2022 / Global

Backend, Engineering

Data Race Patterns in Go

June 2, 2022 / Global

Engineering, Security, Web

USL – Uber’s Unified Signup and Login Stack

May 26, 2022 / Global

Engineering

Better Load Balancing: Real-Time Dynamic Subsetting

May 17, 2022 / Global

Backend, Engineering

Dynamic Data Race Detection in Go Code

April 28, 2022 / Global

Data / ML, Engineering

Presto® on Apache Kafka® At Uber Scale

April 14, 2022 / Global

Data / ML, Engineering, Security

Securing Kafka® Infrastructure at Uber

April 7, 2022 / Global

Backend, Engineering

Uber’s Emergency Button and The Technologies Behind It

March 31, 2022 / Global

Engineering

Avoiding CPU Throttling in a Containerized Environment

March 22, 2022 / Global

Data / ML, Engineering, Security

One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™

March 10, 2022 / Global

Engineering

Introducing Ballast: An Adaptive Load Test Framework

March 1, 2022 / Global

Uber AI, Backend, Data / ML, Engineering, Mobile

Introducing Carbon Feed for Earners: The One-Stop Info Shop

February 16, 2022 / Global

Uber AI, Data / ML

DeepETA: How Uber Predicts Arrival Times Using Deep Learning

February 10, 2022 / Global

Page 11

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English Español

Uber’s Highly Scalable and Distributed Shuffle as a Service

Introducing Shadower: A Minimalistic Load Testing Tool

How We Halved Go Monorepo CI Build Time

Get a ride when you need one

Start earning in your city

Get a ride when you need one

Start earning in your city

Enabling Offline Inferences at Uber Scale

Uber’s Real-Time Document Check

Data Race Patterns in Go

USL – Uber’s Unified Signup and Login Stack

Better Load Balancing: Real-Time Dynamic Subsetting

Dynamic Data Race Detection in Go Code

Presto® on Apache Kafka® At Uber Scale

Securing Kafka® Infrastructure at Uber

Uber’s Emergency Button and The Technologies Behind It

Avoiding CPU Throttling in a Containerized Environment

One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™

Introducing Ballast: An Adaptive Load Test Framework

Introducing Carbon Feed for Earners: The One-Stop Info Shop

DeepETA: How Uber Predicts Arrival Times Using Deep Learning

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