发明名称 Machine Data-Derived Key Performance Indicators with Per-Entity States
摘要 Raw machine data are captured and may be organized as events. Entity definitions representing machine entities that perform a service identify the machine data pertaining to respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. The derivation may be performed on a per-entity basis and on the aggregate. The derived values may then be translated into a state value domain using per-entity thresholds, aggregate thresholds, or a combination.
申请公布号 US2016226720(A1) 申请公布日期 2016.08.04
申请号 US201615012848 申请日期 2016.02.01
申请人 Splunk Inc. 发明人 Alexseyev Leonid;Bingham Brian John;Fletcher Tristan Antonio;Reyes Brian C.
分类号 H04L12/24;G06F17/30;G06F3/0482;H04L12/26;G06F3/0484 主分类号 H04L12/24
代理机构 代理人
主权项 1. A method comprising: causing display of a user interface having a threshold portion associated with a KPI, the KPI defined by a search query that derives a value from machine data associated with one or more entities that provide a service, the threshold portion enabling a user to indicate one or more thresholds for the KPI and to indicate a per-entity application of the thresholds, each threshold corresponding to a different one of a plurality of KPI states; receiving an indication of the thresholds and of the per-entity application of the thresholds in response to user interaction with the user interface; storing the thresholds in association with a definition of the KPI in accordance with the received indication such that a determining of a KPI state from among a plurality of KPI states is made, for an execution of the search query, on a per-entity basis for at least one of the entities in accordance with the thresholds; wherein the derived value for the KPI reflects a measure of the performance of the service; and wherein the method is performed by a computer system comprising one or more processors coupled to computer storage.
地址 San Francisco CA US