Invention Grant
- Patent Title: Identifying anomalous conditions in machine data
- Patent Title (中): 识别机器数据中的异常情况
-
Application No.: US15011623Application Date: 2016-01-31
-
Publication No.: US09442789B2Publication Date: 2016-09-13
- 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: Wong & Rees LLP
- Agent Kirk D. Wong
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F11/07 ; 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
- US20160147589A1 Identifying Anomalous Conditions in Machine Data Public/Granted day:2016-05-26
Information query