Abstract: A technique for automating the construction of multiple virtual images with interdependencies includes creating a first virtual image (VI) instance by extending a first base VI based on input values associated with the first base VI and software bundles associated with the first base VI. A second VI instance is created by extending a second base VI based on input values associated with the second base VI, instance values received from the first VI instance, dependency instance values received from a deployed dependency instance, and software bundles associated with the second base VI. The first and second VI instances are then deployed to designated machines in a cloud environment for execution.

Abstract: Various embodiments of a computer-implemented method, computer system and computer program product provide a configuration recommendation. Request-processing performance data of an application is received. The request-processing performance data is collected by an application monitor during an execution of the application on a source hardware system. One or more request-processing performance measurements are determined based on the request-processing performance data. One or more target objectives of the application are received. An analytic engine is invoked to provide a configuration recommendation of a target hardware system on which to execute the application based on one or more request-processing performance measurements and one or more target objectives.

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.