Abstract: A system and related method for managing memory in data processing comprises allocating each of a plurality of application containers a respective portion of a memory communicatively coupled to a plurality of processing units. The method further comprises allocating each of the plurality of application containers a respective group of the plurality of processing units and allocating, to each of the plurality of application containers, nursery and tenured heap spaced in the memory. The method then comprises performing, responsive to a request from an application container, garbage collection from the nursery and tenured heap spaces allocated to the application container.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. One example comprises monitoring traffic between a plurality of microservices to determine a property of the traffic. Embodiments of the present invention can then, based on the determined property of the monitored traffic, relocate each of the plurality of microservices from its respective origin resource to a shared resource.

Abstract: A method for debugging asynchronous functions in a computer system that implements a runtime stack when executing a program includes, in response to an asynchronous called function being invoked by a calling function of a first execution thread, copying active stack frames of the runtime stack and storing the copied active stack frames as a duplicate stack.

Abstract: A system and related method for managing memory in data processing comprises allocating each of a plurality of application containers a respective portion of a memory communicatively coupled to a plurality of processing units. The method further comprises allocating each of the plurality of application containers a respective group of the plurality of processing units and allocating, to each of the plurality of application containers, nursery and tenured heap spaced in the memory. The method then comprises performing, responsive to a request from an application container, garbage collection from the nursery and tenured heap spaces allocated to the application container.

Abstract: A method for debugging asynchronous functions in a computer system that implements a runtime stack when executing a program includes, in response to an asynchronous called function being invoked by a calling function of a first execution thread, copying active stack frames of the runtime stack and storing the copied active stack frames as a duplicate stack.

Abstract: A method for creating diagnostic files that includes receiving an error notification indicating that an error has occurred in a particular system section of a system that has a plurality of system sections. The error notification includes information about the error. A diagnostic file that includes a summarized error report of the particular system section is created based on the information included in the error notification. The diagnostic file is saved.

Abstract: Performance profiling of software by producing a performance profile of a software processing unit and performing statistical analysis on the performance profile by matching the performance profile with at least one additional performance profile. An algorithmic approach is used to match data related to processes and/or threads and/or similar processing units (PU) over multiple performance profiles. One purpose of the matching algorithm is to identify such PU in order to enable computation of an accumulated or averaged dataset over multiple profiling periods. Various matching strategies, filters, and preprocessing techniques are described, together with level of reliability estimation.

Abstract: Performance profiling of software by producing a performance profile of a software processing unit and performing statistical analysis on the performance profile by matching the performance profile with at least one additional performance profile. An algorithmic approach is used to match data related to processes and/or threads and/or similar processing units (PU) over multiple performance profiles. One purpose of the matching algorithm is to identify such PU in order to enable computation of an accumulated or averaged dataset over multiple profiling periods.