The Paper
Canopy: An End-to-End Performance Tracing And Analysis System
From Section 4 to the End
Paper Link
https://research.facebook.com/publications/canopy-end-to-end-performance-tracing-at-scale/
Format
We start at 6:10, don't be late!
The discussion lasts for about 1 to 1.5 hours, depending upon the paper.
Read the paper (done before you arrive)
Introductions (name, and background)
First impressions (1-2 minutes this is what I thought)
Structured review (we move through the paper in order, everyone gets a chance to ask questions, offer comments, and raise concerns)
Free form discussion
Nominate and vote on the next paper
Abstract
This paper presents Canopy, Facebook's end-to-end performance tracing infrastructure. Canopy records causally related performance data across the end-to-end execution path of requests, including from browsers, mobile applications, and backend services. Canopy processes traces in near real-time, derives user-specified features, and outputs to performance datasets that aggregate across billions of requests. Using Canopy, Facebook engineers can query and analyze performance data in real-time. Canopy addresses three challenges we have encountered in scaling performance analysis: supporting the range of execution and performance models used by different components of the Facebook stack; supporting interactive ad-hoc analysis of performance data; and enabling deep customization by users, from sampling traces to extracting and visualizing features. Canopy currently records and processes over 1 billion traces per day. We discuss how Canopy has evolved to apply to a wide range of scenarios, and present case studies of its use in solving various performance challenges.