Abstract: Methods and systems for controlling process priority for one or more work units having one or more processes. The method includes monitoring a combination of a throughput value and a response time value for each work unit, detecting a change in load level for each work unit based on a correlation between the throughput value and the response time value to adjust a priority level associated with the work unit, and reallocating one or more resources to the work unit when the priority level exceeds a predetermined threshold value.

Abstract: A computer-implemented method is presented for visualizing a stack frame graph of software resources on a user interface of a computing device. The computer-implemented method includes determining a priority of each stack frame by employing a call stack analysis technique, selecting a most important frame from stack traces of a targeted application, and displaying, on the user interface, call stacks representing each frame.

Abstract: A computer-implemented method is presented for visualizing a stack frame graph of software resources on a user interface of a computing device. The computer-implemented method includes determining a priority of each stack frame by employing a call stack analysis technique, selecting a most important frame from stack traces of a targeted application, and displaying, on the user interface, call stacks representing each frame.

Abstract: Methods and systems for controlling process priority for one or more work units having one or more processes. The method includes monitoring a combination of a throughput value and a response time value for each work unit, detecting a change in load level for each work unit based on a correlation between the throughput value and the response time value to adjust a priority level associated with the work unit, and reallocating one or more resources to the work unit when the priority level exceeds a predetermined threshold value.

Abstract: A method transforms a monolithic application into microservices. The method groups application classes and methods into clusters, each corresponding to a respective microservice. The method determines a number of function calls to and from each clustered class and method. The method presents processing options for at least the one of the clustered classes and the methods that has a maximum value for the number of functions calls. The options include: create a new cluster with the at least of the classes and the methods; merge the at least one of the classes and the methods into a different cluster; duplicate the at least one of the classes and the methods into clusters having caller or callee classes or methods; and remain the at least one of the classes and the methods. The method processes the at least one of the classes and the methods based on the user selected option.

Abstract: A method transforms a monolithic application into microservices. The method groups application classes and methods into clusters, each corresponding to a respective microservice. The method determines a number of function calls to and from each clustered class and method. The method presents processing options for at least the one of the clustered classes and the methods that has a maximum value for the number of functions calls. The options include: create a new cluster with the at least of the classes and the methods; merge the at least one of the classes and the methods into a different cluster; duplicate the at least one of the classes and the methods into clusters having caller or callee classes or methods; and remain the at least one of the classes and the methods. The method processes the at least one of the classes and the methods based on the user selected option.

Abstract: A method is described for visualizing distributions of correlated data in a computing environment in a form readable by a computer system operator, such as throughput and response time. Data is collected and a visualized representation is generated that is indicative of system performance.

Abstract: Methods and systems for controlling process priority for one or more work units having one or more processes. The method includes monitoring a combination of a throughput value and a response time value for each work unit, detecting a change in load level for each work unit based on a correlation between the throughput value and the response time value to adjust a priority level associated with the work unit, and reallocating one or more resources to the work unit when the priority level exceeds a predetermined threshold value.

Abstract: A method is described for visualizing distributions of correlated data in a computing environment in a form readable by a computer system operator, such as throughput and response time. Data is collected and a visualized representation is generated that is indicative of system performance.