Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 sampling an application thread to monitor a request may begin with detecting a diagnostic event with respect to the processing of a request. A thread call stack associated with the request may be sampled in response to detecting the diagnostic event. A state of the call stack may be stored with timing information based on the sampling. The call stack state and timing information may be transmitted to a remote server.

Abstract: 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. In an embodiment, a method for monitoring an application may begin with detecting a diagnostic event. A diagnostic identifier may be associated with the request in response to the diagnostic event. An outgoing call may be detected at a first server associated with processing the request. The outgoing call may be modified at the first server to include the diagnostic identifier, the outgoing call with the diagnostic identifier received by a remote computer.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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. A method for communicating data between servers may detect by a first computer a request to a second computer. The request and a first name may be sent to the second computer by the first computer. The first name and request information may be sent to a server by the first computer. The first name and a second computer identifier may be transmitted to the server by the second computer.

Abstract: 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. A message may be placed in an asynchronous queue. The message may be associated with a business transaction. The message in the asynchronous queue may be retrieved by an application. Business transaction information associated with the message may be transmitted to a server by the application.

Abstract: 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 distributed business application is monitored to detect an anomaly based the learned behavior of the business application. The behavior may be learned for each of one or more machines which implement a distributed business transaction. The present system may automatically collect diagnostic data for one or more business transactions and/or requests based on learned behavior for the business transaction or request.

Abstract: 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. A first parameter may be received from a first computer by a server. A second parameter may be received from a second computer by the server. A distributed application processed on the first computer and the second computer may be correlated based on the first parameter and the second parameter.

Abstract: 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.

Abstract: 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. A method for communicating data between servers may detect by a first computer a request to a second computer. The request and a first name may be sent to the second computer by the first computer. The first name and request information may be sent to a server by the first computer. The first name and a second computer identifier may be transmitted to the server by the second computer.