公开(公告)号：US20200151204A1

公开(公告)日：2020-05-14

申请号：US16742416

申请日：2020-01-14

Applicant: Splunk Inc.

Inventor： Tristan Antonio Fletcher ,  Alok Anant Bhide

IPC: G06F16/33 ,  H04L29/08 ,  G06F3/0484 ,  H04L12/24 ,  G06F3/0482 ,  G06Q10/06 ,  H04L12/26 ,  G06F16/903

Abstract: One or more processing devices derive values indicative of various aspects of how a particular service in an information technology (IT) environment is performing at a point in time or for a period of time. The values are derived by a search query over machine data associated with the one or more entities that provide the service. The one or more processing devices define and apply time varying static thresholds in respect to the values. A user (e.g., IT manager) may be enabled to manipulate or define multiple sets of KPI thresholds that vary over time.

公开(公告)号：US10572541B2

公开(公告)日：2020-02-25

申请号：US15955990

申请日：2018-04-18

Applicant: Splunk Inc.

Inventor： Tristan Antonio Fletcher ,  Hemendra Singh Choudhary ,  Clint Sharp

IPC: G06F15/173 ,  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 ,  G06F17/30 ,  H04L12/26 ,  G06F3/0484 ,  G06F9/54 ,  G06F3/0481 ,  G06F3/0482 ,  G06T11/20

Abstract: Techniques are disclosed for providing an aggregate key performance indicator (KPI) that spans multiple services and for providing adjustment to KPI factors via a GUI that enables an aggregate KPI to be configured with feedback that better characterizes the performance of the services. The GUI may enable selection of KPIs and adjustment to weights (e.g., importance) associated with the KPIs. The weight of a KPI may affect the influence a value of the KPI has on the calculation of an aggregate KPI value (e.g., score). The GUI may provide near real-time feedback concerning the effect the weights have on the aggregate KPI value by displaying the aggregate KPI value (e.g., score) and updating the aggregate KPI value as the weights are adjusted.

公开(公告)号：US10474680B2

公开(公告)日：2019-11-12

申请号：US14859243

申请日：2015-09-18

Applicant: Splunk Inc.

Inventor： Arun Ramani ,  Anupadmaja Raghavan ,  Tristan Antonio Fletcher ,  Marc Chene

IPC: G06F17/30 ,  G06F16/2457 ,  G06Q10/00

Abstract: Methods are disclosed to take advantage of the early collection of machine data from a new or changed entity in a computing environment in order to update the definitional information about entities used by a service monitoring system. In some embodiments, the process undertaken to recognize new or changed entities in an IT environment from collected machine data may be informed by the expertise of a particular subject matter area by installing that intelligence in a codified form packaged as a domain add-on to the service monitoring system.

公开(公告)号：US10209956B2

公开(公告)日：2019-02-19

申请号：US15276776

申请日：2016-09-26

Applicant: Splunk Inc.

Inventor： Tristan Antonio Fletcher ,  Hemendra Singh Choudhary ,  Ross Andrew Lazerowitz ,  Chakravarthy Sridhar

IPC: G06F7/10 ,  G06F11/34 ,  G06F11/30 ,  H04L12/24 ,  H04L12/26 ,  G06Q10/06 ,  G06F9/54 ,  G06F3/0481 ,  G06F3/0482 ,  G06F17/30 ,  G06F3/0484

Abstract: An automatic service monitor in an information technology environment is equipped to automatically identify and group recognized events based on user-defined criteria, and to automatically perform user-defined operations against the group and its members at the detection of user-specified conditions.

公开(公告)号：US09755912B2

公开(公告)日：2017-09-05

申请号：US14815888

申请日：2015-07-31

Applicant: Splunk, Inc.

Inventor： Brent Boe ,  Brian Bingham ,  John Robert Coates ,  Tristan Antonio Fletcher

IPC: G06F15/173 ,  H04L12/24 ,  G06Q10/06 ,  H04L29/08 ,  G06F17/30 ,  H04L12/26 ,  G06F3/0484 ,  G06F9/54 ,  G06F3/0481 ,  G06F3/0482 ,  G06F12/00

CPC classification number: H04L43/16 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/542 ,  G06F17/30424 ,  G06F17/30463 ,  G06F17/30477 ,  G06F17/30554 ,  G06F17/3056 ,  G06F17/30572 ,  G06F17/30675 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30958 ,  G06F17/30964 ,  G06F17/30979 ,  G06F17/30991 ,  G06Q10/06393 ,  G06T11/206 ,  G06T2200/24 ,  H04L29/08072 ,  H04L41/0213 ,  H04L41/0806 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5032 ,  H04L41/5035 ,  H04L41/5038 ,  H04L43/04 ,  H04L43/045 ,  H04L67/10 ,  H04L67/16

Abstract: One or more processing devices create one or more entity definitions that each associate an entity with machine data pertaining to that entity and create a service definition for a service provided by one or more entities. The service definition includes an entity definition for each of the one or more entities. The one or more processing devices create one or more key performance indicators (KPIs). Each KPI is defined by a search query that produces a value derived from the machine data identified in one or more of the entity definitions included in the service definition. Each value is indicative of how the service is performing at a point in time or during a period of time.

公开(公告)号：US20170004433A1

公开(公告)日：2017-01-05

申请号：US15199669

申请日：2016-06-30

Applicant: Splunk Inc.

Inventor： Anupadmaja Raghavan ,  George Daloukov ,  Alok Anant Bhide ,  Ross Andrew Lazerowitz ,  Tristan Antonio Fletcher ,  Alan Vincent Hardin

IPC: G06Q10/06 ,  G06Q10/00

CPC classification number: G06Q10/06393 ,  G06Q10/20 ,  H04L41/5006 ,  H04L41/5009

Abstract: An automatic service monitor in an information technology environment has its operation controlled by information that, in part, defines entities that perform services and defines key performance indicators (KPIs) that indicate measures of performance of the services. Additional information controls the operation of the service monitor with respect to identifying and adapting for KPIs based on the non-normal data caused by maintenance work or other causes. Such adaptation may include changes in how reported information appears to the user.

Abstract translation: 信息技术环境中的自动服务监视器的操作受到信息的控制，该信息部分地定义了执行服务的实体，并且定义了指示服务性能测量的关键性能指标（KPI）。 附加信息根据由维护工作或其他原因引起的非正常数据，控制服务监视器的操作，以识别和调整KPI。 这种适应可能包括报告信息如何显示给用户的变化。

公开(公告)号：US20160105335A1

公开(公告)日：2016-04-14

申请号：US14933919

申请日：2015-11-05

Applicant: Splunk Inc.

Inventor： Hemendra Singh Choudhary ,  Tristan Antonio Fletcher ,  Alok Anant Bhide ,  Fang I. Hsiao

IPC: H04L12/26 ,  G06F17/30 ,  H04L12/24

CPC classification number: H04L41/22 ,  G06F17/3051 ,  G06F17/30551 ,  G06F17/30595 ,  G06F17/30864 ,  H04L29/08072 ,  H04L41/5009 ,  H04L41/5032 ,  H04L41/5045 ,  H04L43/045 ,  H04L43/16 ,  H04L67/02

Abstract: Services in an operating environment are represented by stored service definitions that identify entities that perform the service. Entity definitions identify machine data pertaining to the entity. A key performance indicator (KPI) of the service characterizes the service on the whole or some aspect of it. Each KPI is defined by a search query that derives a value from machine data identified in the entity definitions. Processing devices cause display of a service-monitoring page having a services summary region and a services aspects region. The summary region displays interactive summary tiles that each correspond to a service and present information about an aggregate KPI that characterizes the service. The aspects region displays interactive aspect tiles that each correspond to a KPI characterizing some aspect of an associated service. Additional information may be included in the service-monitoring page and interaction features enable a user to navigate to enhanced information displays.

Abstract translation: 操作环境中的服务由标识执行服务的实体的存储的服务定义来表示。 实体定义识别与实体有关的机器数据。 该服务的关键性能指标（KPI）表示服务的整体或某个方面。 每个KPI由搜索查询定义，该搜索查询从实体定义中标识的机器数据中导出值。 处理设备导致显示具有服务摘要区域和服务方面区域的服务监视页面。 摘要区域显示每个对应于服务的交互式摘要图块，并显示关于表征服务的聚合KPI的信息。 方面区域显示交互式方面图块，其各自对应于表征相关联服务的某些方面的KPI。 附加信息可能包含在服务监控页面中，交互功能使用户能够浏览到增强的信息显示。

公开(公告)号：US20160103907A1

公开(公告)日：2016-04-14

申请号：US14528906

申请日：2014-10-30

Applicant: Splunk Inc.

Inventor： Brian John Bingham ,  Tristan Antonio Fletcher ,  Hemendra Singh Choudhary

IPC: G06F17/30 ,  H04L29/08

CPC classification number: H04L43/16 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/542 ,  G06F17/30424 ,  G06F17/30463 ,  G06F17/30477 ,  G06F17/30554 ,  G06F17/3056 ,  G06F17/30572 ,  G06F17/30675 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30958 ,  G06F17/30964 ,  G06F17/30979 ,  G06F17/30991 ,  G06Q10/06393 ,  G06T11/206 ,  G06T2200/24 ,  H04L29/08072 ,  H04L41/0213 ,  H04L41/0806 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5032 ,  H04L41/5035 ,  H04L41/5038 ,  H04L43/04 ,  H04L43/045 ,  H04L67/10 ,  H04L67/16

Abstract: One or more processing devices derive a value for each of a plurality of key performance indicators (KPIs). Each KPI indicates a different aspect of how the same service provided by one or more entities is performing at a point in time. Each KPI is defined by a search query that derives the value for that KPI from machine data associated with the one or more entities that provide the same service. The one or more processing devices calculate a value for an aggregate KPI for the same service from the values for each of the plurality of KPIs.

Abstract translation: 一个或多个处理装置为多个关键性能指标（KPI）中的每一个导出值。 每个关键绩效指标表示一个或多个实体提供的相同服务在某个时间点上执行的不同方面。 每个KPI由搜索查询定义，该搜索查询从与提供相同服务的一个或多个实体相关联的机器数据中导出该KPI的值。 一个或多个处理装置根据多个KPI中的每一个的值计算相同服务的聚合KPI的值。

公开(公告)号：US20160103889A1

公开(公告)日：2016-04-14

申请号：US14815919

申请日：2015-07-31

Applicant: Splunk, Inc.

Inventor： Tristan Antonio Fletcher ,  Alok Anant Bhide

IPC: G06F17/30

CPC classification number: H04L43/16 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/542 ,  G06F17/30424 ,  G06F17/30463 ,  G06F17/30477 ,  G06F17/30554 ,  G06F17/3056 ,  G06F17/30572 ,  G06F17/30675 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30958 ,  G06F17/30964 ,  G06F17/30979 ,  G06F17/30991 ,  G06Q10/06393 ,  G06T11/206 ,  G06T2200/24 ,  H04L29/08072 ,  H04L41/0213 ,  H04L41/0806 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5032 ,  H04L41/5035 ,  H04L41/5038 ,  H04L43/04 ,  H04L43/045 ,  H04L67/10 ,  H04L67/16

Abstract: A service monitoring system receives a selection of key performance indicators (KPIs) that each indicate a different aspect of how a service provided by one or more entities is performing. Each entity of the one or more entities produces machine data or wherein each entity has its operation reflected in machine data not produced by the entity. Each KPI is defined by a different search query that derives one or more values from the machine data pertaining to the one or more entities providing the service, where each of the one or more values is associated with a point in time and representing the aspect of how the service is performing at the associated point in time. For each of the selected KPIs, the service monitoring system derives the one or more values and causes display of a graphical visualization of the derived one or more values for the KPI along a time-based graph lane. The graph lanes for the selected KPIs are parallel to each other and the graphical visualizations in the graph lanes are all calibrated to a same time scale.

Abstract translation: 服务监视系统接收关键性能指标（KPI）的选择，每个关键性能指标各自表示一个或多个实体提供的服务的执行方式的不同方面。 一个或多个实体的每个实体产生机器数据，或者其中每个实体的操作反映在不由实体产生的机器数据中。 每个KPI由不同的搜索查询定义，该搜索查询从与提供服务的一个或多个实体有关的机器数据中导出一个或多个值，其中一个或多个值中的每一个与时间点相关联并且表示 服务在相关时间点的运行情况。 对于每个所选择的KPI，服务监视系统导出一个或多个值，并且导致沿着基于时间的图形通道显示KPI的导出的一个或多个值的图形可视化。 所选KPI的图形通道彼此平行，并且图形通道中的图形可视化都被校准为相同的时间尺度。

公开(公告)号：US09128995B1

公开(公告)日：2015-09-08

申请号：US14528978

申请日：2014-10-30

Applicant: Splunk Inc.

Inventor： Tristan Antonio Fletcher ,  Alok Anant Bhide

IPC: G06F17/30 ,  G06F7/00

CPC classification number: H04L43/16 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/542 ,  G06F17/30424 ,  G06F17/30463 ,  G06F17/30477 ,  G06F17/30554 ,  G06F17/3056 ,  G06F17/30572 ,  G06F17/30675 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30958 ,  G06F17/30964 ,  G06F17/30979 ,  G06F17/30991 ,  G06Q10/06393 ,  G06T11/206 ,  G06T2200/24 ,  H04L29/08072 ,  H04L41/0213 ,  H04L41/0806 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5032 ,  H04L41/5035 ,  H04L41/5038 ,  H04L43/04 ,  H04L43/045 ,  H04L67/10 ,  H04L67/16

Abstract: A service monitoring system receives a selection of key performance indicators (KPIs) that each indicate a different aspect of how a service provided by one or more entities is performing. Each entity of the one or more entities produces machine data or wherein each entity has its operation reflected in machine data not produced by the entity. Each KPI is defined by a different search query that derives one or more values from the machine data pertaining to the one or more entities providing the service, where each of the one or more values is associated with a point in time and representing the aspect of how the service is performing at the associated point in time. For each of the selected KPIs, the service monitoring system derives the one or more values and causes display of a graphical visualization of the derived one or more values for the KPI along a time-based graph lane. The graph lanes for the selected KPIs are parallel to each other and the graphical visualizations in the graph lanes are all calibrated to a same time scale.

Abstract translation: 服务监视系统接收关键性能指标（KPI）的选择，每个关键性能指标各自表示一个或多个实体提供的服务的执行方式的不同方面。 一个或多个实体的每个实体产生机器数据，或者其中每个实体的操作反映在不由实体产生的机器数据中。 每个KPI由不同的搜索查询来定义，该搜索查询从与提供服务的一个或多个实体有关的机器数据中导出一个或多个值，其中一个或多个值中的每一个与时间点相关联并且表示 服务在相关时间点的运行情况。 对于每个所选择的KPI，服务监视系统导出一个或多个值，并且导致沿着基于时间的图形通道显示KPI的导出的一个或多个值的图形可视化。 所选KPI的图形通道彼此平行，并且图形通道中的图形可视化都被校准为相同的时间尺度。