Invention Grant
- Patent Title: Predicting system behavior using machine data
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Application No.: US16864111Application Date: 2020-04-30
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Publication No.: US11010236B2Publication Date: 2021-05-18
- Inventor: Cary Glen Noel , Kirubakaran Pakkirisamy , Alex Raitz , Pierre Tsai
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Perkins Coie LLP
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06N5/02 ; G06N5/04 ; G06F9/54

Abstract:
Embodiments are directed towards the visualization of machine data received from computing clusters. Embodiments may enable improved analysis of computing cluster performance, error detection, troubleshooting, error prediction, or the like. Individual cluster nodes may generate machine data that includes information and data regarding the operation and status of the cluster node. The machine data is received from each cluster node for indexing by one or more indexing applications. The indexed machine data including the complete data set may be stored in one or more index stores. A visualization application enables a user to select one or more analysis lenses that may be used to generate visualizations of the machine data. The visualization application employs the analysis lens to produce visualizations of the computing cluster machine data.
Public/Granted literature
- US20200257582A1 PREDICTING SYSTEM BEHAVIOR USING MACHINE DATA Public/Granted day:2020-08-13
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