Uber Engineering Blog & Tech Articles
Transportation technology company connecting riders and drivers through innovative ride-sharing and delivery platforms
876 engineering articles, tutorials, and technical insights from Uber's engineering team
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Pankaj Mohapatra, Arun Mahadeva Iyer, Balajee Nagasubramaniam, Prashant Wason, Alon Levy
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Nimish Sheth, Manas Kelshikar, Dhirendra Kumar Singh, Rajan Jana, Wasim Raza
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Prakhar Agarwal, Avinash Varma Sagi, Abhay Singh Chauhan, Kranthi Reddy, Divya Rai
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The article provides essential guidelines for drivers operating at Los Angeles International Airport (LAX) while using the Uber app.
4 min read
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Uber’s Rate Limiting System details the evolution of Uber's approach to managing service overload through a unified rate-limiting architecture.
Chien-Chih Liao, Rahul Gutal, Smit Sheth, Ying Jiang
14 min read
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This article introduces uForwarder, Uber's open-source push-based consumer proxy for Apache Kafka's async queuing system.
Zhifeng Chen, Yang Yang, Haifeng Chen
12 min read
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This article details how Uber optimized Apache Hadoop's Distcp (Distributed Copy) tool to scale their data replication infrastructure from handling 250 TB to petabytes of daily data movement.
Abhay Yadav, Radhika Patwari, Sanjay Sundaresan
15 min read
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This article details how Uber built and scaled Apache Hudi to power one of the world's largest data lakes, managing 19,500 datasets with trillions of records across a multi-hundred-petabyte reposit...
Prashant Wason, Balajee Nagasubramaniam, Surya Prasanna Kumar Yalla, Meenal Binwade, Xinli Shang, Jack Song
19 min read
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This article details Uber's multi-year evolution from static, quota-based rate limiting to an intelligent, priority-aware load management system for their distributed databases (Docstore and Schema...
Dhyanam Vaidya, Prathamesh Deshpande, Mike Ma, Chaitanya Yalamanchili
15 min read
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Uber Engineering details their migration from a legacy monolithic monitoring system to a modern, cloud-native observability platform for their corporate network infrastructure.
Razvan Cicu, Giovanni Pepe
9 min read
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The article discusses Uber's transition from traditional keyword-based search using Apache Lucene to implementing semantic vector search with Amazon OpenSearch.
Hao Sun, Jiasen Xu, Smit Patel, Anand Kotriwal, Xu Zhang
11 min read
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This article discusses how Uber utilizes a pull-based ingestion model in OpenSearch™ to effectively index streaming data.
Yupeng Fu, Varun Bharadwaj, Shuyi Zhang, Xu Xiong, Michael Froh
14 min read
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The article discusses Uber's collaboration with Oracle Cloud Infrastructure (OCI) and Ampere Computing to optimize the OCI AmpereOne M A4 Compute instances.
Vikrant Soman, Dan Royal, Nav Kankani, Kamran Zargahi
7 min read
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This article discusses Uber's transition from batch to streaming data ingestion using Apache Flink, which significantly enhances data freshness and operational efficiency.
Xinli Shang, Peter Huang, Jing Li, Jing Zhao, Jack Song
6 min read
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This article discusses Uber's implementation of Apache Pinot to manage and analyze its extensive inventory and catalog data efficiently.
Suraj Modi, Ankit Sultana, Tarun Mavani
11 min read
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This article discusses how Uber improved MySQL cluster uptime by adopting MySQL Group Replication (MGR) at scale.
This article discusses the improvements made to MySQL cluster uptime at Uber through the implementation of MySQL Group Replication (MGR).
The article discusses the evolution and scaling of Uber's Delivery Search Platform, emphasizing the transition from traditional lexical search to a semantic search model that enhances user experien...
Divya Nagar, Zheng Liu, Jiasen Xu, Bo Ling, Haoyang Chen
11 min read
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Ceilometer is Uber's adaptive benchmarking framework designed to enhance the performance and reliability of their infrastructure by automating benchmarking processes and providing actionable insigh...
The article discusses how Uber enhanced its Guidance Heatmap using deep probabilistic models to provide drivers with better insights into potential earnings.
Bob Zheng, Jane Hung, Arushi Singh, Dhruv Ghulati, Yifan Yu, Paul Frend, Elif Eser
9 min read
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The article discusses Uber's implementation of I/O observability for its massive petabyte-scale data lake, focusing on the challenges and solutions in monitoring data access patterns across its hyb...
Arnav Balyan, Kartik Bommepally, Amruth Sampath, Jing Zhao, Akshayaprakash Sharma
10 min read
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This article discusses the implementation of zone failure resilience in Apache Pinot at Uber, detailing strategies to ensure uninterrupted service during zone failures.
Si Lao, Christina Li, Xuanyi Li, Yang Yang, Ujwala Tulshigiri
10 min read
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The article discusses Uber's approach to enhancing the safety of machine learning (ML) model deployments through a series of mechanisms integrated into their ML life cycle.
Sophie Wang, Jia Li, Joseph Wang
10 min read
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This article discusses how Uber has integrated explainability into its machine learning platform, Michelangelo, using Integrated Gradients (IG) to provide interpretable attributions for deep learni...
Hugh Chen, Eric Wang, Gaoyuan Huang, Howard Yu, Jia Li, Sally Lee
14 min read
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The article discusses how Uber AI Solutions enhances data labeling quality through a framework called Requirement Adherence, which utilizes Large Language Models (LLMs) for real-time validation and...
Siddarth Reddy Malreddy, Akshay Arora, Aditi Agarwal, Subrat Sahu, Nikhil Mittal, Rupal Khare
6 min read
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This article discusses the rebuilding of Uber's Apache Pinot™ query architecture, focusing on the transition from Neutrino to a new query system that utilizes Pinot's Multi-Stage Engine Lite Mode.
The article announces that the Cadence project has joined the Cloud Native Computing Foundation (CNCF), highlighting its commitment to open-source development.
Uber Engineering
3 min read
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This article details how Uber standardized its mobile analytics system to improve data consistency and quality across its applications.