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This whitepaper analyzes the shift of data‑intensive analytics to cloud‑native platforms, examines Uber Presto’s fragmented I/O patterns, reveals hidden storage‑API cost impacts, and proposes cloud‑aware I/O optimization strategies to improve performance‑cost efficiency.
After more than a year of effort, Uber migrated its entire experimentation and feature‑flag ecosystem—including thousands of developers, dozens of partners, multiple mobile apps, and hundreds of services—to a new, unified platform that improves reliability, flexibility, and data quality while retiring over 50,000 legacy experiments.
The article details Uber's transition from a monolithic codebase to a service‑oriented architecture, describing its goals, functional and non‑functional requirements, DISCO dispatch optimization, micro‑service communication, data pipelines, storage choices, and supporting components such as Kafka, Hadoop, Spark, and security mechanisms.
The article provides an in‑depth overview of Uber’s self‑service API gateway, describing its role in microservice architectures, the configurable components such as protocol manager, middleware, handlers and clients, the YAML/Thrift‑based configuration and code‑generation pipeline, and the advanced features and challenges involved in building a production‑grade gateway.
This article explains Uber’s Domain‑Oriented Microservice Architecture (DOMA), describing why the company adopted it, how domains, layer design, gateways and extensions are organized, the operational benefits achieved, and practical advice for companies of different sizes considering a similar evolution.
This article explains Uber's Domain‑Oriented Microservice Architecture (DOMA), describing why microservices were adopted, how DOMA structures domains, layers, gateways and extensions, the benefits observed, and practical advice for companies of different sizes considering a similar evolution.
This article explains the design of Apache Hudi, its core concepts such as upserts and incremental pulls, how Uber leverages it for large‑scale data‑lake operations, the enhancements made over time, and the project’s future plans within the Apache ecosystem.
The article argues that simple, term‑free design processes—focused on business problems, whiteboard brainstorming, concise documentation, and iterative feedback—outperform formal architecture tools, patterns, and dedicated architects in large‑scale systems like Uber, emphasizing engineering culture over rigid methodologies.
Microsoft has launched an open‑source tool that lets distribution maintainers and developers create custom Linux packages for the Windows Subsystem for Linux, while also previewing new WSL features such as background tasks and Unix‑domain sockets, and reporting that Uber disabled safety radar on a Volvo autonomous vehicle involved in a fatal pedestrian crash.
A fully autonomous Uber‑operated Volvo XC90 struck and killed pedestrian Elaine Herzberg in Tempe, marking the first pedestrian fatality involving a self‑driving car and prompting investigations, regulatory scrutiny, and a temporary halt to Uber’s and other companies’ public‑road autonomous testing.
Dynamic pricing strategy, as used by Uber and other sharing‑economy platforms, adjusts prices to balance supply and demand, leveraging economic incentives, algorithmic calculations, and real‑time data, and its benefits, drawbacks, and practical applications across ride‑hailing, delivery, and crowdsourcing services are examined.