- Patent Title: Determining system behavior using event patterns in machine data
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Application No.: US16399136Application Date: 2019-04-30
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Publication No.: US11036567B2Publication Date: 2021-06-15
- Inventor: Michael Joseph Baum , R. David Carasso , Robin Kumar Das , Bradley Hall , Brian Philip Murphy , Stephen Phillip Sorkin , Andre David Stechert , Erik M. Swan , Rory Greene , Nicholas Christian Mealy , Christina Frances Regina Noren
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06F9/54
- IPC: G06F9/54

Abstract:
Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.
Public/Granted literature
- US20190258649A1 Determining System Behavior Using Event Patterns in Machine Data Public/Granted day:2019-08-22
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