How Uber Uses Elasticsearch
25 engineering articles about Elasticsearch from Uber's engineering team
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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 implementation of encryption at rest and disk isolation at scale using their Stateful Platform, Odin.
Ivan Shibitov, Johan Abildskov
14 min read
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The article discusses the evolution of Uber's Search Platform, highlighting its transition from Elasticsearch to an in-house solution called Sia, and ultimately to the adoption of OpenSearch.
Yupeng Fu, Shubham Gupta, Shanshan Song, Mingmin Chen
15 min read
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This article discusses the modernization of Uber's logging infrastructure using CLP, focusing on the development of an end-to-end system for managing unstructured logs.
Gao Xin, Jack Luo, Kirk Rodrigues
16 min read
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This article discusses Uber's experience with garbage collection (GC) tuning to enhance the reliability of Presto, an open-source distributed SQL query engine.
Cristian Velazquez, Vineeth Karayil Sekharan
11 min read
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The article discusses how Uber utilizes Apache Pinot for real-time analytics of mobile app crashes, enhancing their ability to detect and resolve issues quickly.
Kriti Dangi, Anil Purohit, Parijat Bansal, Rohit Yadav
17 min read
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Cadence 1. 0 is a powerful open-source workflow orchestration platform designed for building and managing stateful services at scale.
The article discusses how Uber reduced its logging costs significantly by integrating the Compressed Log Processor (CLP) into its logging architecture.
Jack (Yu) Luo, Devesh Agrawal
22 min read
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The article discusses Uber's implementation of an automated vertical CPU scaling system that optimizes resource allocation for storage workloads, leading to significant cost savings and improved re...
Lasse Vilhelmsen
10 min read
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The article discusses how Uber integrates Presto® and Apache Kafka® to enhance its big data analytics capabilities.
Yang Yang, Yupeng Fu, Hitarth Trivedi
10 min read
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The article discusses the challenges and solutions in building scalable streaming pipelines for generating near real-time features at Uber.
Feng Xu, Gang Zhao
19 min read
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The article discusses how Uber maintains operational excellence in data quality through a consolidated data quality platform (UDQ).
Ying Zou, Wei Yan, Maggie Ying, Sanjay Sundaresan, Sriharsha Chintalapani, Isabel Geracioti
21 min read
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The article discusses the challenges posed by flaky unit tests in Java, particularly in the context of Continuous Integration (CI) systems.
Ravi Agarwal, Lazaro Clapp, Gautam Korlam, Murali Krishna Ramanathan, Vijay Subramanian
19 min read
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Uber has developed a centralized, schema-agnostic log analytics platform that enhances logging efficiency and reliability.
Chao Wang, Xiaobing Li
20 min read
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The article discusses Uber's Gairos platform, a real-time data processing and querying system designed to enhance scalability and reliability.
Susan Shimotsu, Wenrui Meng, Qing Xu, Yanjun Huang
29 min read
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The article discusses Uber's adoption of Presto, an open-source SQL query engine, to enhance its big data architecture.
Wayne Cunningham
11 min read
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AresDB is Uber's GPU-powered open-source real-time analytics engine designed to enhance data processing capabilities.
The article features an interview with Yuri Shkuro, the Jaeger Project Lead at Uber, discussing the development and open sourcing of Jaeger, a distributed tracing system.
Molly Vorwerck
12 min read
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The article discusses Uber's Databook platform, which transforms big data into actionable knowledge by managing metadata.
The article discusses Grail, a platform developed by Uber to manage and aggregate infrastructure data at scale.
Jesper Borlum
11 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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The article discusses how Uber utilizes Presto and Apache Parquet for data analytics, highlighting the architecture of their Presto ecosystem and the development of a new Parquet reader to enhance ...
Zhenxiao Luo
10 min read
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The article discusses Uber's development of a custom email Intrusion Detection System (IDS) to enhance security against phishing attacks.
Dan Borges
6 min read
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The article delves into Uber's engineering tech stack, focusing on the components that interact with riders and drivers.
Lucie Lozinski
11 min read
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The article provides an in-depth look at Uber's engineering tech stack, focusing on the foundational elements that support its complex systems.
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