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    INTERFACE FOR AUTOMATED SERVICE DISCOVERY IN I.T. ENVIRONMENTS
    2.
    发明申请
    INTERFACE FOR AUTOMATED SERVICE DISCOVERY IN I.T. ENVIRONMENTS 审中-公开
    自动化服务接口发现在I.T. 环境

    公开(公告)号：US20170017368A1

    公开(公告)日：2017-01-19

    申请号：US15276774

    申请日：2016-09-26

    Applicant: Splunk Inc.

    Inventor： Sonal Maheshwari ,  Vladimir Shcherbakov ,  Mehul Goyal ,  David Gustav Ashpole

    IPC: G06F3/0484 ,  G06F3/0481 ,  G06F17/30

    CPC classification number: G06F3/0484 ,  G06F9/542 ,  G06F17/30967

    Abstract: An automatic service monitor in an information technology environment may be equipped to automatically process machine data originating from a running IT environment to identify the entities that perform services in the environment, and to reflect the discovered entities and service associations in the control and configuration data that directs the monitoring operations performed by the system. A related user interface is taught.

    Abstract translation: 可以配备信息技术环境中的自动服务监视器，以自动处理源自正在运行的IT环境的机器数据，以识别在环境中执行服务的实体，并将所发现的实体和服务关联反映在控制和配置数据中 指导系统执行的监视操作。 教授相关的用户界面。

    Anomaly detection based on a predicted value
    3.
    发明授权
    Anomaly detection based on a predicted value 有权

    公开(公告)号：US11340774B1

    公开(公告)日：2022-05-24

    申请号：US16542774

    申请日：2019-08-16

    Applicant: Splunk Inc.

    Inventor： Manish Sainani ,  Adam Jamison Oliner ,  Jacob Barton Leverich ,  Leonid Alekseyev ,  Sonal Maheshwari

    IPC: G06F15/16 ,  G06F3/0488

    Abstract: Techniques are disclosed for anomaly detection based on a predicted value. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input.

    ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS
    4.
    发明申请
    ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS 审中-公开
    自适应关键性能指标阈值

    公开(公告)号：US20160104076A1

    公开(公告)日：2016-04-14

    申请号：US14859236

    申请日：2015-09-18

    Applicant: Splunk Inc.

    Inventor： Sonal Maheshwari ,  Manish Sainani ,  Leonid Alekseyev ,  Alan Hardin ,  Jacob Barton Leverich ,  Adam Jamison Oliner ,  Brian Reyes ,  Alok Anant Bhide

    IPC: G06N99/00

    CPC classification number: G06N99/005

    Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.

    Abstract translation: 公开了用于为关键性能指标（KPI）提供自适应阈值技术的技术。 自适应阈值技术可以自动分配新值或调整一个或多个时间策略的一个或多个阈值的现有值。 使用自适应阈值分配阈值可以涉及识别用于时间帧的训练数据（例如，历史数据，模拟数据或示例数据），并且分析训练数据以识别数据内的变化（例如，模式，分布，趋势）。 可以基于变化来确定阈值，并且可以将阈值分配给一个或多个阈值，而无需额外的用户干预。

    Adaptive key performance indicator thresholds
    5.
    发明授权
    Adaptive key performance indicator thresholds 有权

    公开(公告)号：US10235638B2

    公开(公告)日：2019-03-19

    申请号：US14859236

    申请日：2015-09-18

    Applicant: Splunk Inc.

    Inventor： Sonal Maheshwari ,  Manish Sainani ,  Leonid Alekseyev ,  Alan Hardin ,  Jacob Barton Leverich ,  Adam Jamison Oliner ,  Brian Reyes ,  Alok Anant Bhide

    IPC: H04L29/08 ,  G06N99/00

    Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention.

    Identifying events using informational fields
    7.
    发明授权
    Identifying events using informational fields 有权
    使用信息字段识别事件

    公开(公告)号：US09146962B1

    公开(公告)日：2015-09-29

    申请号：US14611213

    申请日：2015-01-31

    Applicant: Splunk Inc.

    Inventor： Brent Boe ,  Alok Anant Bhide ,  Sonal Maheshwari

    IPC: G06F15/16 ,  G06F17/30 ,  G06F9/54 ,  H04L12/24 ,  G06F12/00

    CPC classification number: G06F17/30321 ,  G06F3/0484 ,  G06F9/542 ,  G06F17/30126 ,  G06F17/30353 ,  G06F17/30424 ,  H04L41/0213 ,  H04L41/22 ,  H04L41/5012 ,  H04L41/5032 ,  H04L41/5045

    Abstract: A computer system determines if events in a machine data store satisfy event selection criteria, the event selection criteria including a first field-value pair. To determine if one of the events satisfies the event selection criteria, the computer system compares the first field-value pair of the event selection criteria with a second field-value pair from an entity definition associated with the event by using a third field-value pair from data corresponding to the event in the machine data store.

    Abstract translation: 计算机系统确定机器数据存储器中的事件是否满足事件选择标准，事件选择标准包括第一字段值对。 为了确定事件中的一个是否满足事件选择标准，计算机系统通过使用第三字段值将事件选择标准的第一字段值对与来自与事件相关联的实体定义的第二字段值对进行比较 从与机器数据存储中的事件相对应的数据对。

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