How Uber Uses REST API

The article discusses Uber ATG's machine learning infrastructure and versioning control platform, VerCD, designed to manage the complexities of developing self-driving vehicles.

The article discusses how Uber manages its data workflows at scale, detailing the evolution from multiple overlapping data workflow systems to a centralized management system called Piper.

The article provides insights into Uber's Summer 2018 intern program, highlighting the experiences and projects of various interns across different teams.

The article discusses the development and impact of uRate, a feedback platform created by Uber to enhance the engineering workflow by allowing users to provide feedback on Uber tools and services.

The article discusses how Uber leverages code generation to enhance reliability and productivity in their iOS applications.

The article introduces Michelangelo, Uber's internal machine learning platform designed to democratize machine learning and streamline the process of building, deploying, and operating ML solutions...

The article discusses the importance of optimizing the uberPOOL API integration for developers, highlighting three key reasons to enhance user experience, increase engagement, and contribute to env...

uReplicator is Uber Engineering's open-source solution for replicating Apache Kafka data, designed to enhance reliability and eliminate data loss.

Uber Engineering's Micro Deploy is an in-house deployment system designed to streamline the process of deploying code across its services.

The article discusses Uber's transition from a monolithic architecture to a Service-Oriented Architecture (SOA) to accommodate rapid growth and scaling challenges.