Patents by Inventor Leonid Viktorovich Alekseyev

Leonid Viktorovich Alekseyev has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Machine data-derived key performance indicators with per-entity states
    Patent number: 10650051
    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.
    Type: Grant
    Filed: December 12, 2016
    Date of Patent: May 12, 2020
    Assignee: Splunk Inc.
    Inventors: Leonid Viktorovich Alekseyev, Brian John Bingham, Tristan Antonio Fletcher, Brian C. Reyes
  • Machine Data-Derived Key Performance Indicators with Per-Entity States
    Publication number: 20170155558
    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.
    Type: Application
    Filed: December 12, 2016
    Publication date: June 1, 2017
    Inventors: Leonid Viktorovich Alekseyev, Brian John Bingham, Tristan Antonio Fletcher, Brian C. Reyes
  • Machine data-derived key performance indicators with per-entity states
    Patent number: 9521047
    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.
    Type: Grant
    Filed: February 1, 2016
    Date of Patent: December 13, 2016
    Assignee: Splunk Inc.
    Inventors: Leonid Viktorovich Alekseyev, Brian John Bingham, Tristan Antonio Fletcher, Brian C. Reyes