Invention Grant
- Patent Title: Machine data-derived key performance indicators with per-entity states
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Application No.: US15376516Application Date: 2016-12-12
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Publication No.: US10650051B2Publication Date: 2020-05-12
- Inventor: Leonid Viktorovich Alekseyev , Brian John Bingham , Tristan Antonio Fletcher , Brian C. Reyes
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Law Office of Thomas L. Treffert
- Main IPC: G06F16/903
- IPC: G06F16/903 ; G06Q10/06 ; H04L29/08 ; G06F16/26 ; G06F16/248 ; G06F16/25 ; G06F16/33 ; G06F16/951 ; G06F16/2455 ; G06F16/901 ; G06F16/9038 ; G06F16/9535 ; G06F16/2453 ; H04L12/24 ; G06F11/34 ; G06F11/32 ; H04L12/26 ; G06F3/0484 ; G06F9/54 ; G06F3/0481 ; G06F3/0482 ; G06T11/20

Abstract:
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.
Public/Granted literature
- US20170155558A1 Machine Data-Derived Key Performance Indicators with Per-Entity States Public/Granted day:2017-06-01
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