Zscaler, Inc.

Ashok Kolachina

Chakkaravarthy Periyasamy Balaiah

Sanjit Ganguli

Prasannakumar Jobigenahally Malleshaiah

Javier Rodriguez Gonzalez

Alexander Frazier

The present systems and methods provide a user performance monitoring solution that enables the monitoring of application and device performance from the end user's point of view. The present systems and methods help Information Technology (IT) personnel to ensure the quality of digital experience across the enterprise. The present system is adapted to collect telemetry data from devices relative to the performance of all tiers of Internet Service Providers (ISPs), create a baseline of the performance of the ISPs based on a plurality of metrics and the collected telemetry data, train a Machine Learning (ML) model to assess blackout and brownout prediction accuracy at different performance values for the metrics, and identify a blackout or brownout, wherein a blackout or brownout is identified when real time performance is worse than the performance values identified by the model.

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Milpitas, CA, United States of America

Ashok Kolachina