公开(公告)号：US09753961B2

公开(公告)日：2017-09-05

申请号：US14866970

申请日：2015-09-27

Applicant: Splunk, Inc.

Inventor： Brent Boe ,  Alok Anant Bhide ,  Sonal Maheshwari

IPC: G06F15/173 ,  G06F17/30 ,  G06F9/54 ,  H04L12/24 ,  G06F3/0484 ,  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 events may pertain to a service entity represented by a stored entity definition. The entity definition may include information to identify the events from the machine data. Other informational fields in the entity definition may be effectively attributed to the identified events and take part in satisfying the event selection criteria.

公开(公告)号：US20160103862A1

公开(公告)日：2016-04-14

申请号：US14866970

申请日：2015-09-27

Applicant: Splunk, Inc.

Inventor： Brent Boe ,  Alok Anant Bhide ,  Sonal Maheshwari

IPC: G06F17/30 ,  G06F3/0484

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 events may pertain to a service entity represented by a stored entity definition. The entity definition may include information to identify the events from the machine data. Other informational fields in the entity definition may be effectively attributed to the identified events and take part in satisfying the event selection criteria.

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。 事件可能涉及由存储的实体定义表示的服务实体。 实体定义可以包括用于从机器数据识别事件的信息。 实体定义中的其他信息字段可以有效地归因于所识别的事件并且参与满足事件选择标准。

公开(公告)号：US20160103559A1

公开(公告)日：2016-04-14

申请号：US14859233

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: G06F3/0481 ,  G06F17/30 ,  G06T11/20

CPC classification number: G06F3/0481 ,  G06F3/04812 ,  G06F17/30548 ,  G06F17/30554 ,  G06Q10/00 ,  G06T11/206 ,  H04L67/1095

Abstract: Techniques are disclosed for providing a graphical user interface (GUI) for displaying and configuring adaptive or static thresholds for Key Performance Indicators (KPIs). The GUI may include one or more presentation schedules that may display threshold information associated with time policies. Each presentation schedule may include multiple time slots and span a portion of one or more time cycles. Some of the time slots may be associated with a specific time policy and may have a unifying appearance that distinguishes the time slots from timeslots associated with other time policies. The presentation schedules may arrange the time slots in a time grid arrangement (e.g., calendar grid view) or a graph arrangement with depictions (e.g., points, lines) that may illustrate KPI values and threshold markers that may illustrate the threshold values.

Abstract translation: 公开了用于提供用于显示和配置关键性能指标（KPI）的自适应或静态阈值的图形用户界面（GUI）的技术。 GUI可以包括可以显示与时间策略相关联的阈值信息的一个或多个呈现计划。 每个呈现时间表可以包括多个时隙并跨越一个或多个时间周期的一部分。 一些时隙可以与特定时间策略相关联，并且可以具有将时隙与与其他时间策略相关联的时隙区分开的统一外观。 呈现时间表可以以时间网格布置（例如，日历网格视图）或具有可以示出可以示出阈值的KPI值和阈值标记的图示（例如，点，线）的图形排列来布置时隙。

公开(公告)号：US10547695B2

公开(公告)日：2020-01-28

申请号：US15956747

申请日：2018-04-19

Applicant: Splunk Inc.

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

IPC: H04L29/08 ,  H04L12/24 ,  H04L29/06 ,  G06F16/9032 ,  G06F9/54 ,  G06F3/0484

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.

公开(公告)号：US20190147363A1

公开(公告)日：2019-05-16

申请号：US16244817

申请日：2019-01-10

Applicant: Splunk Inc.

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

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs) that are updated using training data. 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.

公开(公告)号：US10198155B2

公开(公告)日：2019-02-05

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 ,  H04L12/24 ,  G06F9/54 ,  G06F17/30

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.

公开(公告)号：US20170329462A1

公开(公告)日：2017-11-16

申请号：US15662916

申请日：2017-07-28

Applicant: Splunk Inc.

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

IPC: G06F3/0481 ,  G06F17/30 ,  G06T11/20 ,  H04L29/08

CPC classification number: G06F3/0481 ,  G06F3/04812 ,  G06F16/2474 ,  G06F16/248 ,  G06Q10/06393 ,  G06Q10/109 ,  G06T11/206 ,  H04L67/1095

Abstract: Techniques are disclosed for providing a graphical user interface (GUI) for displaying and configuring adaptive or static thresholds for Key Performance Indicators (KPIs). The GUI may include one or more presentation schedules that may display threshold information associated with time policies. Each presentation schedule may include multiple time slots and span a portion of one or more time cycles. Some of the time slots may be associated with a specific time policy and may have a unifying appearance that distinguishes the time slots from timeslots associated with other time policies. The presentation schedules may arrange the time slots in a time grid arrangement (e.g., calendar grid view) or a graph arrangement with depictions (e.g., points, lines) that may illustrate KPI values and threshold markers that may illustrate the threshold values.

公开(公告)号：US20170019487A1

公开(公告)日：2017-01-19

申请号：US15276762

申请日：2016-09-26

Applicant: Splunk Inc.

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

IPC: H04L29/08 ,  G06F17/30 ,  H04L12/24

CPC classification number: H04L67/16 ,  G06F3/0484 ,  G06F9/542 ,  G06F17/30967 ,  H04L29/06 ,  H04L41/082 ,  H04L41/0853 ,  H04L41/22 ,  H04L41/5012 ,  H04L41/5032 ,  H04L41/5045

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.

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。