Appdynamics, Inc.

Cisco Technology, Inc.

Ca, Inc.

Bhaskar Sunkara

Jyoti Bansal

Vinay Srinivasaiah

Manoj Acharya

Binil David Thomas

Awais Ahmed

Harish Nataraj

Ajay Chandel

Suraj Puvvada

Raghvendra Singh

Ido Carmel

Takashi Arai

Andrew Morgan

Abhijit Sawant

Adam Leftik

Jeffrey Robert Cobb

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

Business transactions and the nodes processing the transactions may be monitored. Actions may be applied to one or more nodes when a performance issue is detected. A performance issue may relate to a metric associated with a transaction or node that processes the transaction. If a performance metric does not satisfy a health rule, the policy determines which action should be performed to correct the performance of the node. The corrective action may be applied to a node other than the node at which the performance metric is associated with. For example, if a performance metric for a first node does not satisfy a threshold, the corrective action may be applied to a second node. When a solution applied to a second node is found to correct the problem in first node, the solution may be applied to the other nodes experiencing the same problem.

Server performance correction using remote server actions

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.

Naming of distributed business transactions

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.

Automatic asynchronous handoff identification

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.

Dynamic baseline determination for distributed business transaction

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.

Application centric network experience monitoring

Dynamic baseline determination for distributed transaction

Conducting a diagnostic session for monitored business transactions

The present technology monitors a web application provided by one or more services. A service may be provided by applications executing on a virtual machine. 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. Agents may be installed on one or more application servers at an application level, virtual machine level, or other level. An agent may monitor the virtual machine, application and application communications, may communicate with a controller, and may provide monitoring data to the controller. The controller may evaluate the performance of the application and/or virtual machine, model service and/or application flow, and determine information regarding distributed service and/or application performance. The monitoring technology determines how each service and/or application portion is operating, establishes a baseband for operation, and determines the architecture of the distributed system.

Monitoring distributed web application transactions

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San Francisco, CA, United States of America

Bhaskar Sunkara