Uber Engineering
@UberEng
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Engineering @Uber, from practice to people. https://t.co/iIenzuSNxH ✨
Global
Joined June 2014
The next chapter of real-time analytics @Uber. Uncover how Uber restructured its Apache Pinot™ query architecture to unlock a ton of new features, redefining the capabilities of a mature OLAP platform. read more: https://t.co/elE79j0fAp
#UberEngineering #UberEng #ApachePinot
uber.com
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,...
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📊 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. read more:
uber.com
At Uber, we prioritize the end user experience. To identify poor or broken experiences, we must understand how people interact with our apps throughout their journey. To accomplish this, product...
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🦅 Discover how @Uber migrated 2M daily Apache Spark™ jobs to Spark 3.3 with automation and safe shadow testing, achieving over $4M in savings. read more: https://t.co/oMxL22Y51k
#UberEngineering #UberEng
uber.com
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...
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We’re honored to welcome Shanshan Song, Sr. Director of Engineering @Uber, to the TiDB SCaiLE 2025 stage! ⭐️ She’ll join a fireside chat on “Evaluating TiDB for Enterprise Scale”—real stories from industry leaders making high-stakes database decisions. 🎟️ Get your free access:
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Starlark ⭐ meets Cadence ⚙️. We’re excited to announce the open-source release of Starlark Worker, a powerful integration between @cadenceworkflow orchestration and the Starlark scripting language to simplify workflow execution. read more:
uber.com
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...
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🔄 Go behind the scenes of how @Uber powers batch data replication at scale using HiveSync to keep its data lake consistent, reliable, and performant. read more: https://t.co/u6eKevldIA
#BigData #UberTech #DataEngineering #HiveSync #DataLake #UberEngineering #UberEng
uber.com
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...
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🚀 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. read more:
uber.com
At Uber, we rely on continuous deployment to ensure that changes to thousands of microservices reach production automatically and without human monitoring. This blog explores one of the particularly...
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⬆️ @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. read more: https://t.co/bj3TXi6lmS
#UberEngineering #UberEng
uber.com
This is the second blog about the integrated cache infrastructure for Docstore, our online storage at Uber. In the previous blog, we presented CacheFront and outlined its core functionality, design...
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☁️ 10x faster WAN performance and zero-downtime global rollouts. See how @Uber moved its global office network beyond backbone networks with AI-driven SD-WAN at scale. read more: https://t.co/DulAB5GcsO
#UberEngineering #UberEng
uber.com
Uber’s enterprise network encompasses about 250 offices worldwide, from compact workspaces to expansive campuses. To support this global presence, we’re moving away from a legacy centralized backbone...
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✈️ Shorter waits and shorter queues. Learn how @Uber uses forecasting models to improve driver availability at airports. read more: https://t.co/SgvJc5utnw
#UberEngineering #UberEng
uber.com
Airports are a cornerstone of Uber’s ridesharing ecosystem, accounting for 15% of global mobility gross bookings. These airport trips present unique operational challenges that set them apart from...
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Enabling encryption at rest and disk space isolation for hundreds of thousands of stateful workloads isn’t easy. Learn how we successfully locked down the fleet using logical volume management. read more: https://t.co/jMYlDnI2YG
#UberEngineering #UberEng
uber.com
At Uber, we use the Stateful Platform Odin to run databases. Teams of engineers are responsible for database technologies such as MySQL®, Redis®, Apache Cassandra®, Schemaless, and others for the...
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Automating review quality without compromising developer trust. Discover how @Uber's GenAI-powered code reviewer, uReview, saves thousands of developer hours while boosting code quality and trust across every commit. read more: https://t.co/6Utp9e33qI
#UberEngineering #UberEng
uber.com
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...
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Get a whirlwind tour of @Uber's next-generation catalog system, INCA (short for INventory and CAtalog), which processes billions of changes daily from retailers around the world. read more: https://t.co/bWtmuGPSpv
#UberEngineering #UberEng #UberEats
uber.com
With Uber Eats, you can get almost, almost anything. We support every type of store you can find in your local community, from restaurants to small convenience stores, giant supermarkets, pet stores,...
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From days to hours: the new GenAI tool PerfInsights transforms how @Uber engineers optimize Go services. By automating performance issue detection and recommendations, teams can spend less time debugging and more time building features that matter. read more:
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Meet Finch: @Uber's AI-powered data agent that brings real-time financial insights directly to Slack®—no SQL required! Faster insights, smarter decisions. 🚀 read more: https://t.co/85I1FmeISJ
#AI #Data #Uber #UberEngineering #UberEng
uber.com
At Uber, financial analysts and accountants sift through vast data sets to support real-time decision-making. Traditional data access—often involving complex SQL queries across multiple platforms—c...
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Fraud is expensive! Learn how @Uber leverages early chargeback data to detect and mitigate fraud, enhancing payment security and customer trust. read more: https://t.co/q6C8JNGq88
#UberEngineering #UberEng
uber.com
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...
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Uber uses reinforcement learning to optimize matching and better balance drivers with demand in real time. By considering long-term outcomes, we improve efficiency and increase driver earnings by proactively aligning drivers with demand. read more:
uber.com
This blog describes how we apply reinforcement learning techniques to make the Uber network more efficient, helping the world move and creating magical experiences for riders and drivers. We discuss...
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Excited to share this great conversation between @Uber and the team at DS, diving deep into the results of Uber’s Developer Productivity Survey. 🎥 Watch the full webinar here: https://t.co/mIkqM4SeBb
#DeveloperExperience #EngineeringProductivity #DevEx #UberEng
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