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    • 3. 发明授权
    • Tracking asynchronous entry points for an application
    • 跟踪应用程序的异步入口点
    • US09507655B2
    • 2016-11-29
    • US14530443
    • 2014-10-31
    • AppDynamics, Inc.
    • Suraj PuvvadaRyan Ericson
    • G06F3/00G06F9/54G06F9/46
    • G06F11/3688G06F3/00G06F9/466G06F9/4843G06F9/54G06F9/547G06F11/302G06F11/3414
    • Asynchronous operations associated with a request such as synchronous threads, runnable elements, callable elements, and other invokable objects are tracked to determine the metrics about the request and operations. The present technology tracks the start and end of each asynchronous operation and maintains a counter which tracks the currently executing asynchronous operations. By monitoring the request, the start and end of each asynchronous operation associated with the request, and the number of asynchronous operations currently executing, the present technology may identify the end of a request by identifying when the last asynchronous operation associated with the request ends. In some instances, the present technology identifies the end of a request when a counter which tracks the number of asynchronous operations executing reaches a value of zero after the first asynchronous operation has already begun.
    • 跟踪与诸如同步线程,可运行元素,可调用元素和其他可调用对象的请求相关联的异步操作,以确定关于请求和操作的度量。 本技术跟踪每个异步操作的开始和结束,并维护跟踪当前执行的异步操作的计数器。 通过监视请求,与请求相关联的每个异步操作的开始和结束以及当前正在执行的异步操作的数量,本技术可以通过识别与请求相关联的最后一个异步操作何时结束来识别请求的结束。 在一些情况下,当在第一异步操作之后跟踪执行的异步操作数达到零值的计数器已经开始时,本技术识别请求的结束。
    • 6. 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。
    • 9. 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。