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    • 81. 发明申请
    • CONDUCTING A DIAGNOSTIC SESSION FOR MONITORED BUSINESS TRANSACTIONS
    • 为监测业务交易进行诊断会议
    • US20150222503A1
    • 2015-08-06
    • US14690254
    • 2015-04-17
    • AppDynamics Inc.
    • Jyoti BansalBhaskar Sunkara
    • H04L12/26
    • H04L43/04H04L43/022H04L43/045H04L43/10H04L43/16H04L67/02H04L67/22
    • 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.
    • 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。
    • 82. 发明申请
    • AUTOMATIC CAPTURE OF DETAILED ANALYSIS INFORMATION BASED ON REMOTE SERVER ANALYSIS
    • 基于远程服务器分析的详细分析信息的自动捕获
    • US20150149554A1
    • 2015-05-28
    • US14609305
    • 2015-01-29
    • AppDynamics Inc.
    • Jyoti BansalBhaskar SankaraManoj AcharyaVinay SrinivasaiahBinil ThomasAwais Ahmed
    • H04L29/08H04L12/26
    • H04L43/04G06N5/00H04L41/5074H04L61/10H04L67/025H04L67/22
    • A system monitors a network or web application provided by one or more distributed applications and provides data for each and every method instance in an efficient low-cost manner. Agents may monitor the performance of the distributed application by the web services and report monitoring data as runtime data to the remote server, for example a controller. The controller may analyze the data to identify one or more performance issues or “hot spot” methods based on current or past performance, functionality, content, or business relevancy. Instructions and/or configuration information may be transmitted by the controller to the agents that correspond to a particular business transaction portion associated with a hot spot. The portions are then monitored to collect data associated with the hot spot and the hot spot data is reported back to the controller.
    • 系统监视由一个或多个分布式应用程序提供的网络或Web应用程序,并以有效的低成本方式为每个方法实例提供数据。 代理可以通过Web服务监视分布式应用程序的性能,并将监视数据作为运行时数据报告给远程服务器,例如控制器。 控制器可以基于当前或过去的性能,功能,内容或业务相关性来分析数据以识别一个或多个性能问题或“热点”方法。 指令和/或配置信息可以由控制器发送到对应于与热点相关联的特定商业交易部分的代理。 然后监测这些部分以收集与热点相关联的数据,并将热点数据报告回控制器。
    • 83. 发明申请
    • AUTOMATIC ASYNCHRONOUS HANDOFF IDENTIFICATION
    • 自动异步手动识别
    • US20150113122A1
    • 2015-04-23
    • US14058200
    • 2013-10-18
    • AppDynamics, Inc.
    • Bhaskar SunkaraSuraj PuvvadaManoj AcharyaVinay Srinivasaiah
    • G06F9/54G06F9/46H04L12/26
    • H04L43/04G06F9/45504G06F9/466G06F9/4843G06Q10/10H04L43/14
    • Asynchronous handoffs between threads and other software components may be automatically detected, and the corresponding working objects may be tracked. The system may report monitoring information for an overall transaction that includes the original request and corresponding asynchronous requests. Automatically detecting asynchronous requests may include instrumenting a virtual machine, such as a Java Virtual Machine (JVM), to detect the creation of thread handoff objects and the object and/or thread execution. Thread handoff objects may automatically tracked, tracked based on data learned over time, tracked based on user input, and otherwise configured. In some embodiments, after detecting the creation of a thread handoff object, an identification of the object of the call may be identified as being tracked in another server or application.
    • 可以自动检测线程和其他软件组件之间的异步切换,并且可以跟踪相应的工作对象。 该系统可以报告包括原始请求和对应的异步请求的总体事务的监视信息。 自动检测异步请求可能包括检测虚拟机(如Java虚拟机(JVM)),以检测线程切换对象的创建以及对象和/或线程执行。 线程切换对象可以自动跟踪,根据随时间学习的数据进行跟踪,基于用户输入进行跟踪,否则配置。 在一些实施例中,在检测到线程切换对象的创建之后,可以将呼叫的对象的标识识别为在另一服务器或应用中被跟踪。
    • 86. 发明申请
    • CONDUCTING A DIAGNOSTIC SESSION FOR MONITORED BUSINESS TRANSACTIONS
    • 为监测业务交易进行诊断会议
    • US20140068069A1
    • 2014-03-06
    • US14071525
    • 2013-11-04
    • AppDynamics, Inc.
    • Jyoti BansalBhaskar Sunkara
    • H04L12/26
    • H04L43/04H04L43/022H04L43/045H04L43/10H04L43/16H04L67/02H04L67/22
    • 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.
    • 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。