Thanks to its partnership with Uber, Lafayette College ensures that student athletes can transition from classes to practice without missing a beat.| Egypt | Latest News & Stories | Uber Blog
Harnessing the power of LLMs, Uber AI Solutions developed a system to reduce data labeling audits by 80%. Learn how the system detects labeling errors, boosting data quality.| Egypt | Latest News & Stories | Uber Blog
Built on Apache Pinot™, the real-time analytics platform at Uber powers hundreds of critical use cases, from user-facing analytics and experiences to massive internal platforms like log search, tracing, and more. Until 2024, nearly all of the hundreds of millions of daily Pinot queries were served from Neutrino, an internal fork of Presto® optimized for low latency and high QPS. While our Neutrino-based query architecture has served us well over the years, we’ve also faced significant ch...| Uber Blog
Cadence Workflow is now part of the Cloud Native Computing Foundation®. This milestone strengthens our commitment to open source and ensures continued investment in the project’s future.| Uber Blog
Events are the heartbeat of any thriving campus. Hundreds of higher education institutions are already simplifying campus event transportation with Uber Vouchers.| Egypt | Latest News & Stories | Uber Blog
From quick meals for student athletes to dinnertime after dining hall hours, Uber has campus communities covered. Let’s check out some of the most popular Uber Eats meals delivered to our partners’ campuses.| Egypt | Latest News & Stories | Uber Blog
Follow Uber’s journey of standardizing mobile analytics. We unified event instrumentation, collected consistent metadata, and provided sampled event coverage to reduce dev effort and deliver quality, cross-platform insights.| Egypt | Latest News & Stories | Uber Blog
Pace Rideshare Access Program (RAP) Rider Education Guide – an informational resource for taking trips with Uber.| Egypt | Latest News & Stories | Uber Blog
With over 2 million Apache Spark™ applications running daily, Uber operates one of the largest Spark deployments in the industry. Migrating Spark versions is no simple feat, given the scale and complexity of our operations. This blog delves into how Uber successfully navigated this migration, and the innovative automation and tooling we developed to make it possible.| Uber Blog
Uber’s Policy Simulator tool enhances the safety and predictability of IAM policy changes by allowing policy authors to preview the impact of their modifications prior to deployment, ensuring deterministic outcomes after policy change deployment.| Egypt | Latest News & Stories | Uber Blog
At Uber, we strive to build platforms that enable our engineering teams to move faster while maintaining reliability at scale. We’re excited to announce the open-source release of Starlark Worker, a powerful integration between Cadence workflow orchestration and the Starlark™ scripting language that simplifies how teams define and run workflows.| Uber Blog
Uber’s massive 350 PB dual-region data lake, among the largest globally, is meticulously designed for high availability through an active/standby configuration. At Uber, HiveSync plays a critical role in this architecture by ensuring cross-region data consistency, a cornerstone of Uber’s disaster recovery strategy. It diligently manages data replication and synchronization, providing robust protection against potential hardware failures and regional disruptions. This blog post delves into...| Uber Blog
When Uber adopted the open source Bazel build system, our engineers found many opportunities to contribute improvements to how Bazel works with a large Go monorepo.| Uber Blog
Discover how Uber controls the blast radius of large-scale commits with cross-cutting service deployment orchestration. As Uber embraces fully automated continuous deployment, strong safety practices are more critical than ever.| Egypt | Latest News & Stories | Uber Blog
Uber serves over 150 million reads per second from its integrated cache, pushing hit rates above 99.9%. Uncover the latest improvements to the integrated cache infrastructure, CacheFront.| Egypt | Latest News & Stories | Uber Blog
Learn how Uber is transforming its global office network with SD-WAN, cutting latency by 89%, boosting automation, and enabling faster and cost-effective connectivity worldwide.| Egypt | Latest News & Stories | Uber Blog
Code reviews are a core component of software development that help ensure the reliability, consistency, and safety of our codebase across tens of thousands of changes each week. However, as services grow more complex, traditional peer reviews face new challenges. Reviewers are overloaded with the increasing volume of code from AI-assisted code development, and have limited time to identify subtle bugs, security issues, or consistently enforce best practices. These limitations can lead to mis...| Uber Blog
Each and every week, Uber’s 4,500 stateless microservices are deployed more than 100,000 times by 4,000 engineers and many autonomous systems. These services are developed, deployed, and operated by hundreds of individual teams working independently across the globe. The services vary in size, shape, and functionality; some are small and used for internal operations, and some are large and used for massive, real-time computation. While all these services are different, they share common cha...| Uber Blog
When a rider takes a trip, Uber collects money primarily through the rider’s preferred payment method linked to their Uber account, with the fare collected upon trip completion. In some markets, cash payments are also an option, with riders paying the driver in cash at the end of the trip. A chargeback is a dispute filed by a rider through their bank or credit card issuer. Chargebacks typically arise due to suspected fraud or service-related issues. Most service-related disputes are further...| Uber Blog
In 2024, the Uber stateless container orchestration platform completed a migration from Apache Mesos® to Kubernetes®. This blog is the first in a multi-part series about Kubernetes migration use cases. Uber is gradually converging to Kubernetes for batch, stateless, and storage use cases. The goal is to leverage industry-standard technology, rich built-in functionality, and stability. This blog describes how we migrated all shared stateless workloads to Kubernetes. It describes our migratio...| Uber Blog
Responsible for cleaning, storing, and serving over 100 petabytes of analytical data, Uber's Hadoop platform ensures data reliability, scalability, and ease-of-use with minimal latency.| Uber Blog
