Abstract: A system or method which accesses or otherwise receives collected performance data for at least one server application, where the server application is capable of performing a plurality of transactions with client devices and the client devices are geographically dispersed from the server in known geographical locales, which automatically determines from the performance data which of the transactions are utilized by users of the client devices, which selects utilized transactions according to at least one pre-determined selection criteria, which automatically generates a transaction playback script for each of the selected transactions substituting test information in place of user-supplied or user-unique information in the transactions, which designates each script for execution from a geographical locale corresponding to the locale of the clients which execute the utilized transactions, which deploys the playback scripts to robotic agents geographically co-located with client devices according to the locale

Abstract: Method and apparatus for identifying a cause for a response time problem for a transaction in a distributed computing system that includes a central server and a plurality of subsystems. Data is stored at each subsystem relating to sub-transactions of transactions performed by the subsystems. When a problem is discovered in connection with the completion of a particular transaction, each subsystem of the plurality of subsystems that was involved in the particular transaction is identified, and both instance data relating to all of the sub-transactions of the particular transaction stored at each identified subsystem and current hourly aggregate data stored at each identified subsystem is forwarded to the central server. Root-Cause Analysis is then performed using the forwarded instance data and aggregate data to identify the particular subsystem that caused the transaction problem.

Abstract: A potential multicomputer related problem is predicted and reported by determining a set of computer resources and relationships there between needed to complete a multicomputer business transaction, retrieving performance monitoring metrics for the computer resources during executions of the multicomputer transaction, dynamically deriving correlations between the resource relationships and the performance metrics, comparing a trend of the correlations to one or more service level requirements to predict one or more potential future violations of a business transaction requirement, including identification of one or more related resources likely to cause the violation, and reporting such prediction and likely case to an administrator.

Abstract: Method and apparatus for identifying a cause for a response time problem for a transaction in a distributed computing system that includes a central server and a plurality of subsystems. Data is stored at each subsystem relating to sub-transactions of transactions performed by the subsystems. When a problem is discovered in connection with the completion of a particular transaction, each subsystem of the plurality of subsystems that was involved in the particular transaction is identified, and both instance data relating to all of the sub-transactions of the particular transaction stored at each identified subsystem and current hourly aggregate data stored at each identified subsystem is forwarded to the central server. Root-Cause Analysis is then performed using the forwarded instance data and aggregate data to identify the particular subsystem that caused the transaction problem.

Abstract: A system and method which accesses or otherwise received collected performance data for at least one server application, where the server application capable of performing a plurality of transactions with client devices and the client devices are geographically dispersed from the server in known geographical locales, which automatically determines from the performance data which of the transactions are utilized by users of the client devices, which selects utilized transactions according to at least one pre-determined selection criteria, which automatically generates a transaction playback script for each of the selected transactions substituting test information in place of user-supplied or user-unique information in the transactions, which designates each script for execution from a geographical locale corresponding to the locale of the clients which execute said utilized transactions, which deploys the playback scripts to robotic agents geographically co-located with client devices according to the locale

Abstract: Method and apparatus for identifying a cause for a response time problem for a transaction in a distributed computing system that includes a central server and a plurality of subsystems. Data is stored at each subsystem relating to sub-transactions of transactions performed by the subsystems. When a problem is discovered in connection with the completion of a particular transaction, each subsystem of the plurality of subsystems that was involved in the particular transaction is identified, and both instance data relating to all of the sub-transactions of the particular transaction stored at each identified subsystem and current hourly aggregate data stored at each identified subsystem is forwarded to the central server. Root-Cause Analysis is then performed using the forwarded instance data and aggregate data to identify the particular subsystem that caused the transaction problem.