AUTOMATIC CAPTURE OF DIAGNOSTIC DATA BASED ON TRANSACTION BEHAVIOR LEARNING

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. Data for a distributed business application transaction may be collected by sampling one or more threads assigned to handle portions of the distributed business transaction. Data regarding the distributed transaction may then be reported from agents monitoring portions of the distributed transaction to one or more controllers and assembled by one or more controllers into business transactions.