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Friday, September 3 • 14:00 - 14:30
Automating instrumentation Choices for Performance Problems in Distributed Applications with VAIF

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Developers use logs to diagnose performance problems in distributed applications. However, it is difficult to know a priori where logs are needed and what information is needed to help diagnose problems that may occur in the future. We present Variance-driven Automated Instrumentation Frameworks (VAIFs), which run alongside distributed applications. In response to newly-observed performance problems, VAIFs automatically search the space of possible instrumentation choices to enable the logs needed to help diagnose them. To work, VAIF combines distributed tracing (an enhanced form of logging) with insights about how response-time variance can be decomposed on the critical-path portions of requests' traces.

avatar for Mert Toslali

Mert Toslali

PhD Student, Boston University
Mert Toslali is a Ph.D. student in the Electrical and Computer Engineering Department at Boston University. His thesis seeks to design automated analytics methods and systems for cloud applications that minimize dependency on expert knowledge, reduce time-to-solution, and help make... Read More →

Friday September 3, 2021 14:00 - 14:30 EDT

Attendees (6)