Cisco Technology, Inc.

Appdynamics, Inc.

Binil David Thomas

Manoj Acharya

Vinay Srinivasaiah

Jyoti Bansal

Bhaskar Sunkara

Awais Ahmed

Adam Ross Cath

Shubham Jindal

Lehong Hu

Xiaolu Li

Jia Xu

Zhichun Feng

Ed Rowe

Bhaskar Sankara

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.

Automatic capture of detailed analysis information based on remote server analysis

In one embodiment, a monitoring process detects one or more events capable of causing a future state change in a browser application having initially loaded a single page application (SPA) page, and maintains one or more causality chains of the one or more events, each causality chain tracing events of that causality chain to a respective root cause event of that causality chain. Upon detecting a virtual page transition to create a new virtual page, the monitoring process may determine that a cause of the virtual page transition matches a particular root cause event of a particular causality chain, and correlates all events of the particular causality chain to the new virtual page (e.g., where events may notably include XHRs). In another embodiment, the monitoring process may further set a start time of the particular root cause event as the start time of the new virtual page.

Cause-based event correlation to virtual page transitions in single page applications

In one embodiment, a monitoring process detects a page load start time of a single page application (SPA) page having added direct resources and dynamic resources, tracks the direct resources and dynamic resources, and notes a load end time for each of the tracked direct resources and dynamic resources. The monitoring process stops the tracking of the direct resources and dynamic resources in response to a determination of a threshold duration of network inactivity, and determines a maximum load end time of the tracked direct resources and dynamic resources. Accordingly, the monitoring process may then set a page load time of the SPA page as a difference between the maximum load end time and the page load start time.

Determining end times for single page applications

A system monitors applications that provide a single content page by monitoring network traffic associated with single page transitions. The network traffic may be monitored by mechanisms provided by a network browser that updates the page. Updates to the page, called transitions, may be detected when they first begin. The network traffic associated with a single page transition from a first content page to a second version of that content page may be tracked through the network traffic viewing mechanism. When the network traffic is determined to have concluded, the end of the single content page transition is determined to have occurred. Metrics may then be generated from data collected during the transition, and the data and metrics may be reported to a controller.

Monitoring single content page application transitions

A system monitors a client request and a backend business transaction performed in response to the request and correlates the data generated from monitoring the request and business transaction. A request may be monitored in detail to determine several metrics. The metrics may include server connection time, response receipt completion time, document download time, document processing time, and page rendering time. The metrics may be determined for an entire content page as well as individual page elements, such as Iframes and elements constructed from AJAX techniques.

Business transaction correlation with client request monitoring data

A system automatically determines end user timing across multiple platforms and network browsers. End user timing data may be captured using one or more techniques. The techniques may include utilizing a navigation timing standard and handler call back functionality. The end user timing data may be analyzed to identify which technique's data is most accurate, and the most accurate end user timing data is then reported.

System and method for determining end user timing

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. The web application may be provided by one or more web services each implemented as a virtual machine or one or more applications implemented on a virtual machine. Agents may be installed on one or more servers at an application level, virtual machine level, or other level. The agent may identify one or more hot spot methods based on current or past performance, functionality, content, or business relevancy. Based on learning techniques, efficient monitoring, and resource management, the present system may capture data for and provide analysis information for outliers of a web application with very low overhead.

Growing community of inventors

Dublin, CA, United States of America

Binil David Thomas