How Uber Uses engineering
26 engineering articles about engineering from Uber's engineering team
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Articles
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Paarth Chothani, Chirag Agrawal
11 min read
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Deepanshu Mehndiratta, Alok Srivastava, Shivam Jindal, Ankit Srivastava
13 min read
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1 min read
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Nimish Sheth, Daniel Cai, Saurabh Kathpalia, Vishnu Akhilesh Venkataraman, Colin Schoen
12 min read
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Nimish Sheth, Manas Kelshikar, Dhirendra Kumar Singh, Rajan Jana, Wasim Raza
8 min read
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Prakhar Agarwal, Avinash Varma Sagi, Abhay Singh Chauhan, Kranthi Reddy, Divya Rai
11 min read
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9 min read
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13 min read
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8 min read
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14 min read
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9 min read
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Includes Code
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The article discusses Uber's open-source tool, Denial By DNS, designed to prevent resource exhaustion caused by DNS outages.
Motiejus Jakštys
14 min read
Has Summary
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The article discusses how Uber's Customer Obsession Engineering team enhances customer support through innovative technologies, focusing on in-app support and self-service flows.
Harsh Shah
8 min read
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The article discusses the development and implementation of Uber's On-Call Dashboard, a tool designed to enhance the efficiency and effectiveness of on-call engineers.
Vytautas Saltenis, Edvinas Vyzas, Marijonas Petrauskas
11 min read
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This article discusses the implementation of uncertainty estimation in neural networks for time series prediction at Uber, focusing on the use of Bayesian neural networks (BNNs) and the Monte Carlo...
Lingxue Zhu, Nikolay Laptev
21 min read
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The article introduces Michelangelo, Uber's internal machine learning platform designed to democratize machine learning and streamline the process of building, deploying, and operating ML solutions...
Jeremy Hermann, Mike Del Balso
24 min read
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