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Forecasting at Twitter

by Manuel Pais on  Dec 30, 2013

Arun Kejariwal, from Twitter, talked at Velocity Conf London last month about forecasting algorithms used at Twitter to proactively predict system resource needs as well as business metrics such as number of users or tweets. Given the dynamic nature of their data stream, they found that a refined ARIMA model works well once data is cleansed, including removal of outliers.

Detecting Abnormal Traffic in Real Time with APM 9.5

by Jonathan Allen on  Apr 22, 2013

CA Technologies’ Application Performance Management 9.5 adds the ability to detect and analyze unusual performance metric patterns in near real time. This can be used to detect the beginnings of a denial of service attack, failing hardware, or a rouge application.

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