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The Anatomy of a Large-Scale Experimentation Platform

机译:大型实验平台的剖析

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Online controlled experiments (e.g., A/B tests) are an integral part of successful data-driven companies. At Microsoft, supporting experimentation poses a unique challenge due to the wide variety of products being developed, along with the fact that experimentation capabilities had to be added to existing, mature products with codebases that go back decades. This paper describes the Microsoft ExP Platform (ExP for short) which enables trustworthy A/B experimentation at scale for products across Microsoft, from web properties (such as bing.com) to mobile apps to device drivers within the Windows operating system. The two core tenets of the platform are trustworthiness (an experiment is meaningful only if its results can be trusted) and scalability (we aspire to expose every single change in any product through an A/B experiment). Currently, over ten thousand experiments are run annually. In this paper, we describe the four core components of an A/B experimentation system: experimentation portal, experiment execution service, log processing service and analysis service, and explain the reasoning behind the design choices made. These four components work together to provide a system where ideas can turn into experiments within minutes and those experiments can provide initial trustworthy results within hours.
机译:在线控制实验(例如A / B测试)是成功的数据驱动公司不可或缺的一部分。在Microsoft,由于正在开发各种各样的产品,并且必须在具有数十年历史的代码库的现有成熟产品中添加实验功能,因此支持实验构成了一个独特的挑战。本文介绍了Microsoft ExP平台(简称ExP),该平台可以对Microsoft范围内的产品进行大规模的可信A / B实验,从Web属性(如bing.com)到移动应用程序再到Windows操作系统中的设备驱动程序。平台的两个核心原则是可信赖性(只有在其结果值得信赖的情况下实验才有意义)和可扩展性(我们希望通过A / B实验来揭示任何产品中的每个更改)。目前,每年进行的实验超过一万次。在本文中,我们描述了A / B实验系统的四个核心组件:实验门户,实验执行服务,日志处理服务和分析服务,并解释了做出设计选择的原因。这四个组件共同作用,提供了一个系统,使想法可以在数分钟内转化为实验,而这些实验可以在数小时内提供可信赖的初步结果。

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