Uber Engineering Blog

Searchable Ground Truth: Querying Uncommon Scenarios in Self-Driving Car Development

Khalid Ashmawy - October 7, 2019

When developing Uber's self driving car systems, engineers found a way to identify edge case scenarios amongst terabytes of sensor data representing real-world situations.

Meet Michelangelo: Uber’s Machine Learning Platform

September 5, 2017

Introducing Domain-Oriented Microservice Architecture

July 23, 2020

Why Uber Engineering Switched from Postgres to MySQL

July 26, 2016

Uber’s Big Data Platform: 100+ Petabytes with Minute Latency

October 17, 2018

H3: Uber’s Hexagonal Hierarchical Spatial Index

June 27, 2018

Introducing Ludwig, a Code-Free Deep Learning Toolbox

February 11, 2019

The Uber Engineering Tech Stack, Part I: The Foundation

July 19, 2016

Introducing AresDB: Uber’s GPU-Powered Open Source, Real-time Analytics Engine

January 29, 2019

Forecasting at Uber: An Introduction

September 6, 2018

Building Reliable Reprocessing and Dead Letter Queues with Apache Kafka

February 16, 2018

Tag: Apache Hive