公开(公告)号：US11516269B1

公开(公告)日：2022-11-29

申请号：US16835148

申请日：2020-03-30

Applicant: SPLUNK INC.

Inventor： Sonya Chang, Jr. ,  Maxime Petazzoni ,  Joseph Ross ,  Sahinaz Safari Sanjani

IPC: G06F15/16 ,  H04L65/65 ,  G06F16/9035 ,  G06F16/901 ,  G06F16/907 ,  H04L65/61

Abstract: A method of diagnosing anomalous patterns from metrics data associated with a microservices-based application comprises aggregating a plurality of ingested spans into a plurality of streams of metric data. The method also comprises performing computations on a stream of metric data from the plurality of streams of metric data to identify an anomalous pattern. Further, the method comprises generating an alert in response to the anomalous pattern and querying a data set using metadata associated with the alert to retrieve additional information pertaining to the anomalous pattern.