公开(公告)号：US10193775B2

公开(公告)日：2019-01-29

申请号：US15276750

申请日：2016-09-26

Applicant: Splunk Inc.

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

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

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. A related user interface is taught.

公开(公告)号：US09985863B2

公开(公告)日：2018-05-29

申请号：US14800672

申请日：2015-07-15

Applicant: Splunk Inc.

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

IPC: G06F15/16 ,  H04L12/26 ,  H04L12/24 ,  G06Q10/06 ,  G06F3/0482 ,  G06F3/0484 ,  H04L29/08 ,  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: Techniques are disclosed for providing an aggregate key performance indicator (KPI) that spans multiple services and for providing user adjustment to KPI factors via a GUI that enables a user to configure an aggregate KPI with feedback that better characterizes the performance of the services. The GUI may enable a user to select KPIs and to adjust 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 user adjusts the weights.

公开(公告)号：US09960970B2

公开(公告)日：2018-05-01

申请号：US15418766

申请日：2017-01-29

Applicant: Splunk Inc.

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

IPC: G06F15/16 ,  H04L12/24 ,  H04L12/26 ,  H04L29/08 ,  G06F17/30 ,  G06F12/00

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.

公开(公告)号：US09864797B2

公开(公告)日：2018-01-09

申请号：US14700110

申请日：2015-04-29

Applicant: Splunk Inc.

Inventor： Tristan Antonio Fletcher ,  Alok Anant Bhide

IPC: H04L12/24 ,  G06F17/30 ,  G06F3/0484 ,  G06Q10/06 ,  G06F3/0482 ,  H04L29/08 ,  H04L12/26 ,  H04L29/06

CPC classification number: G06F17/30675 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30964 ,  G06Q10/06393 ,  H04L29/08072 ,  H04L41/0686 ,  H04L41/069 ,  H04L41/22 ,  H04L41/5009 ,  H04L41/5032 ,  H04L43/04 ,  H04L63/145

Abstract: A system, method and graphical user interface (GUI) for creating a new correlation search based on a set of displayed graph lanes. The graph lanes may provide graphical visualizations of key performance indicators (KPIs) associated with one or more services and may assist a user in identifying a situation (e.g., problem or a pattern of interest) in the performance of the services. A user may adjust (e.g., add graph lanes, zooming-in) the graph lanes in order to display the situation, at which point the user may submit a request to create a new correlation search to detect if the situation reoccurs. The system may generate the new correlation search by iterating through the set of graph lanes and analyzing the fluctuations of each KPI to determine triggering criteria. The system may then run the correlation search and generate a notable event or alarm when the situation reoccurs.

公开(公告)号：US20170339029A1

公开(公告)日：2017-11-23

申请号：US15663561

申请日：2017-07-28

Applicant: Splunk Inc.

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

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

CPC classification number: H04L41/5032 ,  G06F3/0482 ,  G06F3/04842 ,  G06Q10/06393 ,  H04L29/08072 ,  H04L41/0213 ,  H04L41/12 ,  H04L41/22 ,  H04L41/5006 ,  H04L41/5009 ,  H04L43/04 ,  H04L43/045 ,  H04L43/16 ,  H04L67/16 ,  H04L67/2809

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 determine a value for an aggregate key performance indicator (KPI) for the service to indicate or characterize the service overall from values for each of the various aspects.

公开(公告)号：US09762455B2

公开(公告)日：2017-09-12

申请号：US15296030

申请日：2016-10-17

Applicant: Splunk Inc.

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

IPC: G06F15/16 ,  H04L12/24 ,  H04L29/08 ,  G06F3/0482 ,  G06F3/0484 ,  H04L12/26 ,  G06Q10/06

CPC classification number: H04L41/5032 ,  G06F3/0482 ,  G06F3/04842 ,  G06Q10/06393 ,  H04L29/08072 ,  H04L41/0213 ,  H04L41/12 ,  H04L41/22 ,  H04L41/5006 ,  H04L41/5009 ,  H04L43/04 ,  H04L43/045 ,  H04L43/16 ,  H04L67/16 ,  H04L67/2809

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 determine a value for an aggregate key performance indicator (KPI) for the service to indicate or characterize the service overall from values for each of the various aspects.

公开(公告)号：US09614736B2

公开(公告)日：2017-04-04

申请号：US14815919

申请日：2015-07-31

Applicant: Splunk, Inc.

Inventor： Tristan Antonio Fletcher ,  Alok Anant Bhide

IPC: G06F17/30 ,  G06F7/00 ,  H04L12/24 ,  G06Q10/06 ,  H04L29/08 ,  H04L12/26 ,  G06F3/0484 ,  G06F9/54 ,  G06F3/0481 ,  G06F3/0482

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.

公开(公告)号：US09584374B2

公开(公告)日：2017-02-28

申请号：US14528906

申请日：2014-10-30

Applicant: Splunk Inc.

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

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

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：US20170046374A1

公开(公告)日：2017-02-16

申请号：US15276750

申请日：2016-09-26

Applicant: Splunk Inc.

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

IPC: G06F17/30 ,  H04L12/26 ,  G06F3/0484

CPC classification number: H04L43/08 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/542 ,  G06F17/30964 ,  G06Q10/06393 ,  G06Q10/20 ,  H04L41/0604 ,  H04L41/0681 ,  H04L41/069 ,  H04L41/22 ,  H04L41/5009

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. A related user interface is taught.

Abstract translation: 信息技术环境中的自动服务监视器被配备为根据用户定义的标准自动识别和分组识别的事件，并且在检测到用户指定的条件时自动对组及其成员执行用户定义的操作。 教授相关的用户界面。

公开(公告)号：US20160226720A1

公开(公告)日：2016-08-04

申请号：US15012848

申请日：2016-02-01

Applicant: Splunk Inc.

Inventor： Leonid Alexseyev ,  Brian John Bingham ,  Tristan Antonio Fletcher ,  Brian C. Reyes

IPC: H04L12/24 ,  G06F17/30 ,  G06F3/0482 ,  H04L12/26 ,  G06F3/0484

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: 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.

Abstract translation: 原始机器数据被捕获并且可以被组织为事件。 表示执行服务的机器实体的实体定义识别与各实体有关的机器数据。 KPI搜索查询每个定义一个KPI。 每个KPI搜索查询从实体定义中标识的机器数据中获取KPI的一个或多个值。 衍生可以在每个实体的基础上和聚合上进行。 然后可以使用每个实体阈值，聚合阈值或组合将派生值转换为状态值域。