2024-04-15 16:30:00 ~ 2024-04-16 16:30:00
Uber Eats’ mission is to make eating effortless, at any time, for anyone. The Uber Eats home feed is an important tool for fulfilling this goal, as it aims to provide a magical food browsing…
Rendering large lists in React can be a challenging task for developers. As the size of the list grows, the DOM (Document Object Model) tree also grows, leading to performance issues like slow…
Uber uses open-source Presto to query nearly every data source, both in motion and at rest. Presto’s versatility empowers us to make intelligent, data-driven business decisions. We operate around 20…
The Uber Michelangelo feature store, called Palette, is a database of Uber-specific curated and internally crowd-sourced features that are easy to use in machine learning projects. It comes to solve…
As a marketplace-based, consumer-facing app, Uber encounters a multitude of sources of fraud across its platform. In one of the most common cases of fraud, bad actors use various methods to attempt to…
Discover real-time query analytics and governance with DataCentral: Uber’s big data observability powerhouse, tackling millions of queries in petabyte-scale environments.
Uber’s mission is to reimagine the way the world moves for the better and provide earning opportunities globally through its marketplace. One effective approach to bring the Uber brand and marketplace…
Docstore is Uber's in-house, distributed database built on top of MySQL®. Storing tens of PBs of data and serving tens of millions of requests/second, it is one of the largest database engines at Uber…
Uber is a global business, and has a customer base that’s spread throughout the world. Uber’s customer base is divided into many user personas, predominantly riders, drivers, eaters, couriers, and…
If you were to ask a veteran SOC (Security Operations Center) analyst about Network IDS (Intrusion Detection Systems) or IPS (Intrusion Prevention Systems), the response would probably contain phrases…
This blog post describes Uber's journey towards utilizing hardware efficiently via better load balancing. The work described here lasted over a year, involved engineers across multiple teams, and…
Uber has one of the largest Apache HadoopⓇ Distributed File System (HDFS) deployments in the world, with exabytes of data across tens of clusters. HDFS team at Uber had to solve the problem of…
With the introduction of Model Excellence Scores at Uber, we're setting a new standard for measuring, monitoring, and maintaining ML model quality–read how this innovative approach aims to enhance ML…
Machine Learning (ML) is celebrating its 8th year at Uber since we first started using complex rule-based machine learning models for driver-rider matching and pricing teams in 2016. Since then, our…
Uber connects the physical and digital worlds to help make movement happen at the tap of a button. Billions of trips, deliveries, and tens of billions of financial transactions across earners,…
This week, we'll dive into how we migrated Uber’s business-critical ledger data to LedgerStore. We'll detail how we moved more than a trillion entries (making up a few petabytes of data) transparently…
包括:高性能 Wasm + WebGL 渲染引擎、Lottie 动画 WebGL 渲染、WebGL 帧差序列帧等。
我的App怎么这么卡,谁在代码里下毒了!
有一天突然发现debug包运行变的特别卡顿,经过下面的简单测试发现debug包在Android 14上出了问题。 就开始了一系列的问题排查并尝试解决。
本文探讨京东推荐广告场景下的流量排序拍卖机制设计问题,讲述了京东排序拍卖机制的关键技术突破点以及技术演化路线,通过本文可以了解京东推荐广告排序机制在流量价值预估、用户兴趣探索以及模型化拍卖等方面的前沿技术探索和实践。
随着用户持续使用云音乐,红心歌曲、收藏歌单、关注艺人等用户私域数据资产也在不断积累,面向私域数据的检索诉求也越来越迫切;本文主要介绍云音乐本地私域数据检索功能的实现方案,包含本地轻量级搜索引擎的技术选型、整体技术方案以及搜索耗时的优化方案。
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