公开(公告)号：US20190324946A1

公开(公告)日：2019-10-24

申请号：US16460395

申请日：2019-07-02

Applicant: SPLUNK INC.

Inventor： Brian Bingham ,  Tristan Fletcher ,  Alok Anant Bhide

IPC: G06F16/14 ,  G06F16/21 ,  G06F16/13 ,  G06F16/26 ,  G06F16/33 ,  G06F3/0488 ,  G06F11/32 ,  G06F9/455

Abstract: The disclosed system and method acquire and store performance measurements relating to performance of a component in an information technology (IT) environment and log data produced by the IT environment, in association with corresponding time stamps. The disclosed system and method correlate at least one of the performance measurements with at least one of the portions of log data.

公开(公告)号：US20190303191A1

公开(公告)日：2019-10-03

申请号：US16446430

申请日：2019-06-19

Applicant: Splunk Inc.

Inventor： Brian Bingham ,  Tristan Fletcher

IPC: G06F9/455 ,  G06F11/14 ,  G06F11/34

Abstract: Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.

公开(公告)号：US10379895B2

公开(公告)日：2019-08-13

申请号：US15675538

申请日：2017-08-11

Applicant: Splunk Inc.

Inventor： Brian Bingham ,  Tristan Fletcher

IPC: G06F9/46 ,  G06F9/455 ,  G06F11/14 ,  G06F11/34

Abstract: Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.

公开(公告)号：US10346357B2

公开(公告)日：2019-07-09

申请号：US15421398

申请日：2017-01-31

Applicant: Splunk Inc.

Inventor： Brian Bingham ,  Tristan Fletcher ,  Alok Anant Bhide

IPC: G06F7/00 ,  G06F16/14 ,  G06F3/0488 ,  G06F16/13 ,  G06F16/33 ,  G06F16/21 ,  G06F9/455 ,  G06F11/32 ,  G06F16/26 ,  G06F11/34

Abstract: The disclosed system and method acquire and store performance measurements relating to performance of a component in an information technology (IT) environment and log data produced by the IT environment, in association with corresponding time stamps. The disclosed system and method correlate at least one of the performance measurements with at least one of the portions of log data.

公开(公告)号：US20180041402A1

公开(公告)日：2018-02-08

申请号：US15693172

申请日：2017-08-31

Applicant: Splunk Inc.

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

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

CPC classification number: G06F16/903 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/04842 ,  G06F3/04847 ,  G06F9/542 ,  G06F11/321 ,  G06F11/34 ,  G06F16/24542 ,  G06F16/2455 ,  G06F16/248 ,  G06F16/252 ,  G06F16/26 ,  G06F16/334 ,  G06F16/9024 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/951 ,  G06F16/9535 ,  G06F17/30424 ,  G06Q10/0637 ,  G06Q10/0639 ,  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 ,  H04L43/16 ,  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：US09323557B2

公开(公告)日：2016-04-26

申请号：US14609335

申请日：2015-01-29

Applicant: Splunk Inc.

Inventor： Brian Bingham ,  Tristan Fletcher

IPC: G06F9/46 ,  G06F9/455 ,  G06F11/14 ,  G06F11/34

CPC classification number: G06F9/45558 ,  G06F9/45533 ,  G06F9/45545 ,  G06F11/1484 ,  G06F11/3409 ,  G06F2009/4557 ,  G06F2009/45591 ,  G06F2009/45595

Abstract: Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.

Abstract translation: 技术通过呈现包含性能指标的虚拟机监控程序架构的动态表示来促进对管理程序系统的监视。 评论者可以与表示进行交互，以逐步查看选择的较低级别的绩效指标。 较高水平的绩效指标可以根据较低级别的国家评估来确定。 审阅者还可以查看历史绩效指标和指标，这有助于了解哪些配置更改或系统使用可能导致次优性能。

公开(公告)号：US09294361B1

公开(公告)日：2016-03-22

申请号：US14611200

申请日：2015-01-31

Applicant: Splunk Inc.

Inventor： Hemendra Singh Choudhary ,  Tristan Antonio Fletcher ,  Brian Bingham ,  Fang I. Hsiao ,  Brian C. Reyes

IPC: G06F15/16 ,  H04L12/24 ,  H04L12/26 ,  G06F17/30 ,  G06F3/0482 ,  G06F3/0484 ,  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 cause display of a graphical user interface (GUI) that includes a correlation search portion that enables a user to specify information for a key performance indicator (KPI) correlation search definition. The KPI correlation search definition includes search information and trigger determination information. The search information identifies KPI values, indicative of the KPI states, in a data store. The trigger determination information includes trigger criteria. The trigger determination evaluates the identified KPI values using the trigger criteria to determine whether to cause a defined action. A contribution threshold for a particular KPI definition is received via the GUI. The contribution threshold corresponds to a particular KPI state. The contribution threshold is stored as trigger criteria information. Each of the KPI values is derived from machine data pertaining to entities identified in a service definition using a search query specified by a KPI definition for the service.

Abstract translation: 一个或多个处理设备引起显示图形用户界面（GUI），该图形用户界面（GUI）包括能够使用户指定关键性能指标（KPI）相关搜索定义的信息的相关搜索部分。 KPI相关搜索定义包括搜索信息和触发确定信息。 搜索信息在数据存储中标识表示KPI状态的KPI值。 触发判定信息包括触发准则。 触发确定使用触发条件来评估所识别的KPI值，以确定是否导致定义的动作。 通过GUI接收特定KPI定义的贡献阈值。 贡献阈值对应于特定的KPI状态。 贡献阈值被存储为触发条件信息。 每个KPI值都是从使用由服务的KPI定义指定的搜索查询在服务定义中标识的实体的机器数据中导出的。

公开(公告)号：US20150143173A1

公开(公告)日：2015-05-21

申请号：US14609335

申请日：2015-01-29

Applicant: SPLUNK INC.

Inventor： Brian Bingham ,  Tristan Fletcher

IPC: G06F11/34 ,  G06F9/455 ,  G06F11/14

CPC classification number: G06F9/45558 ,  G06F9/45533 ,  G06F9/45545 ,  G06F11/1484 ,  G06F11/3409 ,  G06F2009/4557 ,  G06F2009/45591 ,  G06F2009/45595

Abstract: Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.

Abstract translation: 技术通过呈现包含性能指标的虚拟机监控程序架构的动态表示来促进对管理程序系统的监视。 评论者可以与表示进行交互，以逐步查看选择的较低级别的绩效指标。 较高水平的绩效指标可以根据较低级别的国家评估来确定。 审阅者还可以查看历史绩效指标和指标，这有助于了解哪些配置更改或系统使用可能导致次优性能。

公开(公告)号：US20130247042A1

公开(公告)日：2013-09-19

申请号：US13874434

申请日：2013-04-30

Applicant: SPLUNK INC.

Inventor： Brian Bingham ,  Tristan Fletcher

IPC: G06F9/455

CPC classification number: G06F9/45533 ,  G06F9/45558 ,  G06F2009/45591

Abstract: Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.

Abstract translation: 技术通过呈现包含性能指标的虚拟机监控程序架构的动态表示来促进对管理程序系统的监视。 评论者可以与表示进行交互，以逐步查看选择的较低级别的绩效指标。 较高水平的绩效指标可以根据较低级别的国家评估来确定。 审阅者还可以查看历史绩效指标和指标，这有助于了解哪些配置更改或系统使用可能导致次优性能。

公开(公告)号：US11513846B1

公开(公告)日：2022-11-29

申请号：US17168979

申请日：2021-02-05

Applicant: Splunk Inc.

Inventor： Tristan Fletcher ,  Brian Bingham

IPC: G06F9/48 ,  G06F9/50 ,  G06F16/31 ,  G06F16/33 ,  G06F9/54 ,  H04L9/40 ,  H04L67/59

Abstract: A scheduler manages execution of a plurality of data-collection jobs, assigns individual jobs to specific forwarders in a set of forwarders, and generates and transmits tokens (e.g., pairs of data—collection tasks and target sources) to assigned forwarders. The forwarder uses the tokens, along with stored information applicable across jobs, to collect data from the target source and forward it onto an indexer for processing. For example, the indexer can then break a data stream into discrete events, extract a timestamp from each event and index (e.g., store) the event based on the timestamp. The scheduler can monitor forwarders' job performance, such that it can use the performance to influence subsequent job assignments. Thus, data-collection jobs can be efficiently assigned to and executed by a group of forwarders, where the group can potentially be diverse and dynamic in size.