Engineering

The technology behind Uber Engineering

Engineering

How We Saved 70K Cores Across 30 Mission-Critical Services (Large-Scale, Semi-Automated Go GC Tuning @Uber)

December 22, 2021 / Global

Backend, Engineering

Cadence Multi-Tenant Task Processing

December 16, 2021 / Global

Engineering, Backend

CRISP: Critical Path Analysis for Microservice Architectures

November 18, 2021 / Global

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Stay up to date with the latest from Uber Engineering

Backend, Data / ML, Engineering

How Uber Migrated Financial Data from DynamoDB to Docstore

November 10, 2021 / Global

Backend, Data / ML, Engineering

Introducing uGroup: Uber’s Consumer Management Framework

October 21, 2021 / Global

Backend, Data / ML, Engineering

Improving HDFS I/O Utilization for Efficiency

October 13, 2021 / Global

Backend, Engineering

Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner

September 29, 2021 / Global

Backend, Data / ML, Engineering

Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

September 23, 2021 / Global

Data / ML, Engineering

YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process

September 16, 2021 / Global

Engineering

Jellyfish: Cost-Effective Data Tiering for Uber’s Largest Storage System

September 9, 2021 / Global

Backend, Data / ML, Engineering

Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework

September 2, 2021 / Global

Backend, Data / ML, Engineering

Enabling Seamless Kafka Async Queuing with Consumer Proxy

August 1, 2021 / Global

Data / ML

How Data Shapes the Uber Rider App

August 26, 2021 / Global

Backend, Data / ML, Engineering

Building Scalable Streaming Pipelines for Near Real-Time Features

August 24, 2021 / Global

Engineering

Eats Safety Team On-Call Overview

August 19, 2021 / Global

Engineering, Web

Unifying Support Content to Enable More Empathetic and Personalized Customer Support Experiences

August 17, 2021 / Global

Data / ML, Engineering

Efficiently Managing the Supply and Demand on Uber’s Big Data Platform

August 13, 2021 / Global

Page 11

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Engineering

How We Saved 70K Cores Across 30 Mission-Critical Services (Large-Scale, Semi-Automated Go GC Tuning @Uber)

Cadence Multi-Tenant Task Processing

CRISP: Critical Path Analysis for Microservice Architectures

Interested in joining Uber Eng?

Stay up to date with the latest from Uber Engineering

How Uber Migrated Financial Data from DynamoDB to Docstore

Introducing uGroup: Uber’s Consumer Management Framework

Improving HDFS I/O Utilization for Efficiency

Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner

Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process

Jellyfish: Cost-Effective Data Tiering for Uber’s Largest Storage System

Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework

Enabling Seamless Kafka Async Queuing with Consumer Proxy

How Data Shapes the Uber Rider App

Building Scalable Streaming Pipelines for Near Real-Time Features

Eats Safety Team On-Call Overview

Unifying Support Content to Enable More Empathetic and Personalized Customer Support Experiences

Efficiently Managing the Supply and Demand on Uber’s Big Data Platform

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