Rubrik, Inc.

Gurjeet S Arora

Karan Jayesh Bavishi

Matthew Edward Noe

Chetas Joshi

Daniel Talamas Cano

John Louie

Gurashish Singh Brar

In some examples, an anomaly database system is provided for processing metrics in telemetry data. An example anomaly database system comprises a continuous data management (CDM) node, the CDM node including a metrics library for sending out system metrics in a sparse manner and a statistics relay for receiving streaming metrics from nodes in a node cluster, the node cluster including the CDM node, the statistics relay pushing the received metrics to a metrics collector. A sparse consumers module pulls metrics, from the metrics collector, pushed to the metrics collector by the statistics relay.

Anomaly database system for processing telemetry data

Various embodiments provide for alert generation based on alert dependency. For some embodiments, the alert dependency checking facilitates alert noise reduction. Various embodiments described herein dynamically find or discover alert dependencies based on one or more alerts currently active, one or more active alerts generated in the past, or some combination of both. Various embodiments described herein provide alert monitoring that adapts based on an alert state of a machine. Various embodiments described herein generate a health score for a machine based on an alert state of the machine. Various embodiments described herein provide a tool for managing definitions of one or more alerts that can be identified as an active alert for a machine.

Alert dependency discovery

Adaptive alert monitoring

Alert dependency checking

Growing community of inventors

Palo Alto, CA, United States of America

Gurjeet S Arora