Engineering

The technology behind Uber Engineering

Backend, Data / ML, Engineering
How Uber Migrated Financial Data from DynamoDB to DocstoreNovember 10, 2021 / Global
Backend, Data / ML, Engineering
Introducing uGroup: Uber’s Consumer Management FrameworkOctober 21, 2021 / Global
Backend, Data / ML, Engineering
Improving HDFS I/O Utilization for EfficiencyOctober 13, 2021 / Global
Interested in joining Uber Eng?Click here
Backend, Engineering
Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud SpannerSeptember 29, 2021 / Global
Backend, Data / ML, Engineering
Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and PinotSeptember 23, 2021 / Global
Data / ML, Engineering
YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow ProcessSeptember 16, 2021 / Global
Engineering
Jellyfish: Cost-Effective Data Tiering for Uber’s Largest Storage SystemSeptember 9, 2021 / Global
Backend, Data / ML, Engineering
Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash FrameworkSeptember 2, 2021 / Global
Backend, Data / ML, Engineering
Enabling Seamless Kafka Async Queuing with Consumer ProxyAugust 31, 2021 / Global
Data / ML
How Data Shapes the Uber Rider AppAugust 26, 2021 / Global
Backend, Data / ML, Engineering
Building Scalable Streaming Pipelines for Near Real-Time FeaturesAugust 24, 2021 / Global
Engineering
Eats Safety Team On-Call OverviewAugust 19, 2021 / Global
Engineering, Web
Unifying Support Content to Enable More Empathetic and Personalized Customer Support ExperiencesAugust 17, 2021 / Global
Data / ML, Engineering
Efficiently Managing the Supply and Demand on Uber’s Big Data PlatformAugust 13, 2021 / Global
Data / ML, Engineering
Cost-Efficient Open Source Big Data Platform at UberAugust 11, 2021 / Global
Data / ML, Engineering
Challenges and Opportunities to Dramatically Reduce the Cost of Uber’s Big DataAugust 9, 2021 / Global
Data / ML, Engineering
How Uber Achieves Operational Excellence in the Data Quality ExperienceAugust 5, 2021 / Global