Invention Grant
- Patent Title: Determining root-cause of failures based on machine-generated textual data
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Application No.: US17034730Application Date: 2020-09-28
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Publication No.: US11675647B2Publication Date: 2023-06-13
- Inventor: Yaron Lehmann , Gabby Menahem , Dror Mann
- Applicant: ServiceNow, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: ServiceNow, Inc.
- Current Assignee: ServiceNow, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Fletcher Yoder PC
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/07

Abstract:
A method and system for determining root-causes of incidences using machine-generated textual data. The method comprises receiving machine-generated textual data from at least one data source; classifying the received machine-generated textual data into at least one statistical metric; processing the statistical metric to recognize a plurality of incidence patterns; correlating the plurality of incidence patterns to identify at least a root-cause of an incidence that occurred in a monitored environment; and generating an alert indicating at least the identified root-cause.
Public/Granted literature
- US20210011793A1 DETERMINING ROOT-CAUSE OF FAILURES BASED ON MACHINE-GENERATED TEXTUAL DATA Public/Granted day:2021-01-14
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