Engineering

The technology behind Uber Engineering

Engineering, Data / ML

Spark Analysers: Catching Anti-Patterns In Spark Apps

9 hours ago / Global

Engineering, Data / ML

Optimizing HDFS with DataNode Local Cache for High-Density HDD Adoption

May 24 / Global

Engineering, Backend

Cybersecurity Incident Simulation @ Uber

May 11 / Global

Engineering, Backend

Bootstrapping Uber’s Infrastructure on arm64 with Zig

May 3 / Global

Engineering, Mobile

Measuring Performance for iOS Apps at Uber Scale

April 20 / Global

Engineering, Backend

InsureTech: Insurance Compliance

April 13 / Global

Engineering, Backend, Data / ML

Demand and ETR Forecasting at Airports

March 23 / Global

Engineering, Data / ML

Setting Uber’s Transactional Data Lake in Motion with Incremental ETL Using Apache Hudi

March 16 / Global

Engineering, Backend

How We Unified Configuration Distribution Across Systems at Uber

March 9 / Global

Engineering, Backend

Uber’s Sustainable Engineering Journey

March 2 / Global

Engineering, AI, Data / ML

D3: An Automated System to Detect Data Drifts

February 23 / Global

Engineering, Backend

Fixing Go’s Linker: An Unexpected Journey into ARM64, DWARF, and Linker Internals

February 16 / Global

Engineering, Backend

uAct – Unified Action Platform

February 9 / Global

Engineering, Mobile

How the Uber Membership Team Developed the ActionCard Design Pattern to Do More with Less

February 2 / Global

Engineering, Data / ML

Containerizing the Beast – Hadoop NameNodes in Uber’s Infrastructure

January 26 / Global

Engineering, Backend

Scaling Adoption of Kerberos at Uber

January 19 / Global

Devpod: Improving Developer Productivity at Uber with Remote Development

December 13, 2022 / Global

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