公开(公告)号：US20160285951A1

公开(公告)日：2016-09-29

申请号：US15179978

申请日：2016-06-11

Applicant: AppDynamics, Inc

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: H04L29/08 ,  H04L12/26

CPC classification number: H04L67/10 ,  G06Q40/00 ,  H04L41/5038 ,  H04L41/5083 ,  H04L43/04 ,  H04L43/0876 ,  H04L43/50 ,  H04L67/025

Abstract: The present technology monitors a web application provided by one or more services. A service may be provided by applications. The monitoring system provides end-to-end business transaction visibility, identifies performance issues quickly and has dynamical scaling capability across monitored systems including cloud systems, virtual systems and physical infrastructures. In instances, a request may be received from a remote application. The request may be associated with a distributed transaction. Data associated with the request may be detected. A distributed transaction identifier may be generated for a distributed transaction based on the data associated with the request.

公开(公告)号：US20140068067A1

公开(公告)日：2014-03-06

申请号：US14071503

申请日：2013-11-04

Applicant: AppDynamics, Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: H04L12/26

CPC classification number: H04L43/04 ,  H04L43/022 ,  H04L43/045 ,  H04L43/10 ,  H04L43/16 ,  H04L67/02 ,  H04L67/22

Abstract: The present technology may determine an anomaly in a portion of a distributed business application. Data can automatically be captured and analyzed for the portion of the application associated with the anomaly. By automatically capturing data for just the portion associated with the anomaly, the present technology reduces the resource and time requirements associated with other code-based solutions for monitoring transactions. In an embodiment, a method for monitoring an application may begin with detecting a diagnostic event. A diagnostic identifier may be associated with the request in response to the diagnostic event. An outgoing call may be detected at a first server associated with processing the request. The outgoing call may be modified at the first server to include the diagnostic identifier, the outgoing call with the diagnostic identifier received by a remote computer.

Abstract translation: 本技术可以确定分布式业务应用的一部分中的异常。 与异常有关的部分应用程序可以自动捕获和分析数据。 通过自动捕获与异常相关的部分的数据，本技术减少与用于监视事务的其他基于代码的解决方案相关联的资源和时间要求。 在一个实施例中，用于监视应用的方法可以从检测诊断事件开始。 响应于诊断事件，诊断标识符可以与请求相关联。 可以在与处理请求相关联的第一服务器处检测出呼叫。 可以在第一服务器处修改呼出呼叫以包括诊断标识符，具有由远程计算机接收的诊断标识符的呼出呼叫。

公开(公告)号：US20140052624A1

公开(公告)日：2014-02-20

申请号：US14069357

申请日：2013-10-31

Applicant: AppDynamics, Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: G06Q40/00

CPC classification number: H04L67/025 ,  G06Q40/00 ,  H04L41/5038 ,  H04L41/5083 ,  H04L43/04 ,  H04L43/0876 ,  H04L43/50 ,  H04L67/10

Abstract: The present technology monitors a web application provided by one or more services. A service may be provided by applications. The monitoring system provides end-to-end business transaction visibility, identifies performance issues quickly and has dynamical scaling capability across monitored systems including cloud systems, virtual systems and physical infrastructures. A message may be placed in an asynchronous queue. The message may be associated with a business transaction. The message in the asynchronous queue may be retrieved by an application. Business transaction information associated with the message may be transmitted to a server by the application.

Abstract translation: 本技术监视由一个或多个服务提供的web应用。 应用程序可能提供服务。 监控系统提供端到端业务交易可视性，快速识别性能问题，并在受监控系统（包括云系统，虚拟系统和物理基础设施）上具有动态扩展能力。 消息可能被放置在异步队列中。 消息可能与业务事务相关联。 异步队列中的消息可能由应用程序检索。 与消息相关联的业务交易信息可以由应用程序发送到服务器。

公开(公告)号：US10348809B2

公开(公告)日：2019-07-09

申请号：US15651436

申请日：2017-07-17

Applicant: AppDynamics, Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: G06F15/173 ,  H04L29/08 ,  H04L12/24 ,  H04L12/26

Abstract: The present technology monitors a web application provided by one or more services. A service may be provided by applications. The monitoring system provides end-to-end business transaction visibility, identifies performance issues quickly and has dynamical scaling capability across monitored systems including cloud systems, virtual systems and physical infrastructures. In instances, a request may be received from a remote application. The request may be associated with a distributed transaction. Data associated with the request may be detected. A distributed transaction identifier may be generated for a distributed transaction based on the data associated with the request.

公开(公告)号：US09369521B2

公开(公告)日：2016-06-14

申请号：US14700437

申请日：2015-04-30

Applicant: AppDynamics Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: G06F15/173 ,  H04L29/08 ,  H04L12/26

CPC classification number: H04L67/025 ,  G06Q40/00 ,  H04L41/5038 ,  H04L41/5083 ,  H04L43/04 ,  H04L43/0876 ,  H04L43/50 ,  H04L67/10

Abstract: The present technology monitors a web application provided by one or more services. A service may be provided by applications. The monitoring system provides end-to-end business transaction visibility, identifies performance issues quickly and has dynamical scaling capability across monitored systems including cloud systems, virtual systems and physical infrastructures. In instances, a request may be received from a remote application. The request may be associated with a distributed transaction. Data associated with the request may be detected. A distributed transaction identifier may be generated for a distributed transaction based on the data associated with the request.

Abstract translation: 本技术监视由一个或多个服务提供的web应用。 应用程序可能提供服务。 监控系统提供端到端业务交易可视性，快速识别性能问题，并在受监控系统（包括云系统，虚拟系统和物理基础设施）上具有动态扩展能力。 在实例中，可以从远程应用接收请求。 请求可能与分布式事务相关联。 可以检测与请求相关联的数据。 可以基于与请求相关联的数据为分布式事务生成分布式事务标识符。

公开(公告)号：US09037707B2

公开(公告)日：2015-05-19

申请号：US14071503

申请日：2013-11-04

Applicant: AppDynamics, Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: G06F15/173 ,  H04L12/26 ,  H04L29/08

CPC classification number: H04L43/04 ,  H04L43/022 ,  H04L43/045 ,  H04L43/10 ,  H04L43/16 ,  H04L67/02 ,  H04L67/22

Abstract: The present technology may determine an anomaly in a portion of a distributed business application. Data can automatically be captured and analyzed for the portion of the application associated with the anomaly. By automatically capturing data for just the portion associated with the anomaly, the present technology reduces the resource and time requirements associated with other code-based solutions for monitoring transactions. In an embodiment, a method for monitoring an application may begin with detecting a diagnostic event. A diagnostic identifier may be associated with the request in response to the diagnostic event. An outgoing call may be detected at a first server associated with processing the request. The outgoing call may be modified at the first server to include the diagnostic identifier, the outgoing call with the diagnostic identifier received by a remote computer.

Abstract translation: 本技术可以确定分布式业务应用的一部分中的异常。 与异常有关的部分应用程序可以自动捕获和分析数据。 通过自动捕获与异常相关的部分的数据，本技术减少与用于监视事务的其他基于代码的解决方案相关联的资源和时间要求。 在一个实施例中，用于监视应用的方法可以从检测诊断事件开始。 响应于诊断事件，诊断标识符可以与请求相关联。 可以在与处理请求相关联的第一服务器处检测出呼叫。 可以在第一服务器处修改呼出呼叫以包括诊断标识符，具有由远程计算机接收的诊断标识符的呼出呼叫。

公开(公告)号：US20170318076A1

公开(公告)日：2017-11-02

申请号：US15651436

申请日：2017-07-17

Applicant: AppDynamics, Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: H04L29/08 ,  H04L12/26 ,  G06Q40/00 ,  H04L12/24

CPC classification number: H04L67/10 ,  G06Q40/00 ,  H04L41/5038 ,  H04L41/5083 ,  H04L43/04 ,  H04L43/0876 ,  H04L43/50 ,  H04L67/025

Abstract: The present technology monitors a web application provided by one or more services. A service may be provided by applications. The monitoring system provides end-to-end business transaction visibility, identifies performance issues quickly and has dynamical scaling capability across monitored systems including cloud systems, virtual systems and physical infrastructures. In instances, a request may be received from a remote application. The request may be associated with a distributed transaction. Data associated with the request may be detected. A distributed transaction identifier may be generated for a distributed transaction based on the data associated with the request.

公开(公告)号：US09577900B1

公开(公告)日：2017-02-21

申请号：US14815211

申请日：2015-07-31

Applicant: AppDynamics, Inc.

Inventor： Harish Nataraj ,  Adam Leftik ,  Ajay Chandel ,  Jyoti Bansal ,  Bhaskar Sunkara

IPC: G06F15/173 ,  H04L12/26 ,  H04W36/30 ,  H04W24/10

CPC classification number: H04L43/062 ,  G06F11/3006 ,  G06F11/3072 ,  G06F11/3419 ,  G06F11/3495 ,  G06F2201/865 ,  H04L41/142 ,  H04L41/5009 ,  H04L41/5035 ,  H04L41/5058 ,  H04L43/16 ,  H04L67/42 ,  H04W24/10 ,  H04W36/30

Abstract: A system determines the performance of a network within the context of an application using that network. Network data is collected and correlated with an application that uses the network as well as a distributed transaction implemented by the application. The collected network data is culled, and the remaining data is rolled up into one or more metrics. The metrics, selected network data, and other data are reported in the context of the application that implements part of the distributed transaction. In this manner, specific network performance and architecture data is reported along with application context information.

Abstract translation: 系统在使用该网络的应用程序的上下文中确定网络的性能。 收集网络数据并与使用网络的应用程序以及由应用程序实现的分布式事务相关联。 所收集的网络数据被剔除，剩下的数据被汇总成一个或多个指标。 度量，选择的网络数据和其他数据在实现分布式事务的一部分的应用程序的上下文中报告。 以这种方式，报告具体的网络性能和架构数据以及应用上下文信息。

公开(公告)号：US20160050136A1

公开(公告)日：2016-02-18

申请号：US14929269

申请日：2015-10-31

Applicant: AppDynamics, Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: H04L12/26

CPC classification number: H04L43/04 ,  H04L43/022 ,  H04L43/045 ,  H04L43/10 ,  H04L43/16 ,  H04L67/02 ,  H04L67/22

Abstract: The present technology may determine an anomaly in a portion of a distributed business application. Data can automatically be captured and analyzed for the portion of the application associated with the anomaly. By automatically capturing data for just the portion associated with the anomaly, the present technology reduces the resource and time requirements associated with other code-based solutions for monitoring transactions. A method for performing a diagnostic session for a request may begin with initiating collection of diagnostic data associated with a request. An application thread on each of two or more servers may be sampled. The application threads may be associated with the same business transaction and the business transaction may be associated with the request. The diagnostic data may be stored.

Abstract translation: 本技术可以确定分布式业务应用的一部分中的异常。 与异常有关的部分应用程序可以自动捕获和分析数据。 通过自动捕获与异常相关的部分的数据，本技术减少与用于监视事务的其他基于代码的解决方案相关联的资源和时间要求。 用于执行请求的诊断会话的方法可以开始收集与请求相关联的诊断数据。 可以对两个或多个服务器中的每一个上的应用程序线程进行采样。 应用程序线程可以与相同的业务事务相关联，并且业务事务可以与请求相关联。 可以存储诊断数据。

公开(公告)号：US20150222503A1

公开(公告)日：2015-08-06

申请号：US14690254

申请日：2015-04-17

Applicant: AppDynamics Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara

IPC: H04L12/26

CPC classification number: H04L43/04 ,  H04L43/022 ,  H04L43/045 ,  H04L43/10 ,  H04L43/16 ,  H04L67/02 ,  H04L67/22

Abstract: The present technology may determine an anomaly in a portion of a distributed business application. Data can automatically be captured and analyzed for the portion of the application associated with the anomaly. By automatically capturing data for just the portion associated with the anomaly, the present technology reduces the resource and time requirements associated with other code-based solutions for monitoring transactions. A method for performing a diagnostic session for a request may begin with initiating collection of diagnostic data associated with a request. An application thread on each of two or more servers may be sampled. The application threads may be associated with the same business transaction and the business transaction may be associated with the request. The diagnostic data may be stored.

Abstract translation: 本技术可以确定分布式业务应用的一部分中的异常。 与异常有关的部分应用程序可以自动捕获和分析数据。 通过自动捕获与异常相关的部分的数据，本技术减少与用于监视事务的其他基于代码的解决方案相关联的资源和时间要求。 用于执行请求的诊断会话的方法可以开始收集与请求相关联的诊断数据。 可以对两个或多个服务器中的每一个上的应用程序线程进行采样。 应用程序线程可以与相同的业务事务相关联，并且业务事务可以与请求相关联。 可以存储诊断数据。