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Timeseries Analysis for Issue Volume Detection and Escalation

SF Python via YouTube

Overview

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Explore a 30-minute conference talk that delves into Sentry's data team's innovative algorithm for identifying escalating issue volumes. Learn about the challenges of managing signal-to-noise ratios in Sentry's issues feed, discover various strategies for improvement, and gain insights into the implementation and objectives of their escalating issues algorithm. Engineering Manager Tillman Elser from Sentry's Data and ML team presents this technical discussion, recorded at Sentry HQ, offering valuable perspectives on time series analysis and practical solutions for issue volume management in software monitoring systems.

Syllabus

Tillman Elser - Timeseries Analysis at Sentry - SF Python @ Sentry (2023-05-10)

Taught by

SF Python

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