In Facebook, we integrate features and applications deeply into each page. Such deep integration presents both opportunities and challenges to the frontend performance engineering (“Frontend” refers to browser render time):
2. Almost every page of Facebook contains web content from more than one feature developed by different product teams. It is a challenge to evaluate the impact of a new feature on frontend performance due to the mix of features on a page;
3. Features in a page not only depend on the fast product cycles but also depend on user adoption of the features. Performance optimization has to be self-adaptive and maintainable through the fast feature evolutions.
In this talk, we present some of our work on improving and maintaining frontend performance. We will discuss in details of our experience in building and operating such an infrastructure, particularly in the following areas:
2. Measurement and Performance Testing: We have developed a performance measurement framework to monitor and analyze site speed. Besides the traditional monitoring features, the framework provides A/B testing capability and integrates with the feature launching system. It makes possible to evaluate overall performance impact of a new feature, even on pages with a mix of evolving features.
Xiaoliang “David” Wei is a research scientist at Facebook, where he works on front-end performance. He focuses on user latency measurement, end user latency optimization, and best practices for maintaining long-term web performance. Prior to Facebook, David worked on network simulation, TCP enhancement, QoS, and peer-to-peer file sharing systems at Google and two startups. David holds a bachelor’s degree in computer science from Tsinghua University, China, and a PhD in computer science from Caltech, where he co-invented FastTCP, a new Internet congestion control algorithm that led to the startup FastSoft Inc.
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