Engineering

The technology behind Uber Engineering

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 1, 2022 / Global

Engineering

Avoiding CPU Throttling in a Containerized Environment

March 22, 2022 / Global

Interested in joining Uber Eng?

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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

Uber AI, Data / ML, Engineering

Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop

February 1, 2022 / Global

Backend, Data / ML, Engineering

Cost Efficiency @ Scale in Big Data File Format

January 25, 2022 / Global

Engineering, Data / ML, Uber AI

Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling

January 19, 2022 / Global

Data / ML, Engineering

The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations

January 11, 2022 / Global

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

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

Page 9

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Engineering

The technology behind Uber Engineering

Securing Kafka® Infrastructure at Uber

Uber’s Emergency Button and The Technologies Behind It

Avoiding CPU Throttling in a Containerized Environment

Interested in joining Uber Eng?

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

Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop

Cost Efficiency @ Scale in Big Data File Format

Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling

The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations

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

How Uber Migrated Financial Data from DynamoDB to Docstore

Introducing uGroup: Uber’s Consumer Management Framework

Improving HDFS I/O Utilization for Efficiency

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