Base Web is a React component library which implements the Base design language to act as a device-agnostic foundation for easily creating web applications.
Uber Technical Writer Shannon Brown offers three tips for creating concise, meaningful documentation.
Celina Ward discusses her journey to engineering, what it was like to present at Kubecon 2018, and what’s next for M3, Uber's open source metrics platform.
Bridging the Gap from Sofia to San Francisco: A Conversation with Engineering Manager Marin Dimitrov
Uber Engineering Manager Marin Dimitrov shares his best practices for motivating an engineering team, keeping connected when your headquarters office is over 6,000 miles and 10 hours away, and leveraging open source software.
Uber's IT Engineering team scaled mobile device management on macOS by leveraging open source tools and custom API-driven Chef cookbooks.
In this short tutorial, we show you how to build a Hello World! application using Fusion.js, an open source universal web framework suitable for building interactive web applications.
Improving the User Experience with Uber’s Customer Obsession Ticket Routing Workflow and Orchestration Engine
Uber adopted workflow orchestration and Cadence, our open source orchestration engine, to better handle customer support ticket routing at scale.
What began as a means of showing Uber's driver-partners their real-time earnings quickly became an extensible means of communicating not just earnings, but also incentives and other useful information within our new driver app.
Uber's Maps Collection and Reporting (MapCARs) team shares best practices when choosing which HDFS file formats are optimal for use with Apache Spark.
How engineers and data scientists at Uber came together to come up with a means of partially replicating Vertica clusters to better scale our data volume.
Uber engineers offer two common use cases showing how we orchestrate machine learning model training in our data workflow engine.
DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake
Uber engineers discuss the development of DBEvents, a change data capture system designed for high data quality and freshness that is capable of operating on a global scale.
We spoke to Data Science Director Fran Bell about machine learning at Uber and what she finds most challenging—and rewarding—about her work.
Mitigating Risk in a Three-Sided Marketplace: A Conversation with Trupti Natu and Neel Mouleeswaran on the Uber Eats Risk Team
We sat down with a risk strategy manager and a risk engineer to discuss how they build solutions to minimize risk in the Uber Eats three-sided marketplace.
First introduced by Uber in November 2018, Peloton manages resources across large-scale, distinct workloads, combining separate compute clusters.
Uber leveraged machine learning to design our capacity safety forecasting tooling with a special emphasis on calculating a quality of reliability score.
Developed by Uber, Kraken is an open source peer-to-peer Docker registry capable of distributing terabytes of data in seconds.
Engineering interns from Uber's European offices talk about their experiences, including the projects they worked on, the people they worked with, and the social activities they engaged in.
Our driver app's new server-driven preferences section enables driver-partners to customize their experiences to make the app better fit into their lives.