发明名称 Identifying System Performance Patterns in Machine Data
摘要 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.
申请公布号 US2016246873(A1) 申请公布日期 2016.08.25
申请号 US201615143581 申请日期 2016.04.30
申请人 Splunk Inc. 发明人 Baum Michael Joseph;Carasso R. David;Das Robin Kumar;Hall Bradley;Murphy Brian Philip;Sorkin Stephen Phillip;Stechert Andre David;Swan Erik M.;Greene Rory;Mealy Nicholas Christian;Noren Christina Frances Regina
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method, comprising: receiving machine data from one or more information technology systems, the machine data indicative of performance aspects of the one or more information technology systems; identifying typical system behavior in the one or more information technology systems by performing a search across the machine data for patterns that match one or more recorded patterns that frequently occur; wherein the method is performed by one or more computing devices.
地址 San Francisco CA US