Cisco Technology, Inc.

Appdynamics, Inc.

Amod Gupta

Pankaj Kumar

Michael Margulis

Sanjay Nagaraj

Ryan Ericson

Application performance data and machine health are collected by a system. The system correlates the two data types to provide context as to how machine health affects the performance of an application. Performance data for an application, for example an application executing as part of a distributed business transaction, and health data for a machine which hosts the application are collected. The performance data and machine health data may be correlated for a particular period of time. The correlation may then be reported to a user. By viewing the correlation, a user may see when machine health was good and bad, and may identify the effects of the machine health on the performance of an application.

Analyzing physical machine impact on business transaction performance

A dynamic monitoring process begins with configuring a start and end method to be monitored. The dynamic monitoring process may intercept both the start and end methods as and when the loader is initiated or at runtime to dynamically attach and detach the instrumentation. A loader may then be modified to call a library method upon detection of the start method. The library method may serve as a notification to the start of the method and causes a reflector to retrieve information from the incoming request. The incoming information may include data from which a business transaction name may be determined. The business transaction name is then associated with the monitoring of the particular request. When an exit call is detected, a call may be made to the library for a method which invokes a decorator. The decorator may insert business transaction name and other data into the outgoing call.

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Amod Gupta