Abstract: Systems, methods, and other embodiments associated with reconfiguring applications and monitoring exceptions are described. In one embodiment, a computer implemented method analyzes executable code of an application and identifies an exception handling clause. The method modifies the executable code by reconfiguring the exception handling clause to call a monitoring agent and pass information associated with an exception that occurs during execution of the executable code.

Abstract: Systems, methods, and other embodiments associated with reconfiguring applications and monitoring exceptions are described. In one embodiment, a computer implemented method analyzes executable code of an application and identifies an exception handling clause. The method modifies the executable code by reconfiguring the exception handling clause to call a monitoring agent and pass information associated with an exception that occurs during execution of the executable code.

Abstract: Described herein are systems and methods for collecting and surfacing metrics with respect to their classification; and the use of the metrics by a workload manager and other application monitoring tools to provide quality-of-service and workload management. Each request is classified, either by the application server or another process. A request classification identifier (RCID) is associated with each request, and thereafter flows with that request as it is being processed. The RCID value is used by data collectors at various points in the system to aggregate the metrics, and a workload manager collects the metrics. The collected metrics are then processed by a rules engine at the workload manager, which analyzes the metrics and generates adjustment recommendations to provide quality-of-service and workload management.

Abstract: Described herein are systems and methods for collecting and surfacing metrics with respect to their classification; and the use of the metrics by a workload manager and other application monitoring tools to provide quality-of-service and workload management. Each request is classified, either by the application server or another process. A request classification identifier (RCID) is associated with each request, and thereafter flows with that request as it is being processed. The RCID value is used by data collectors at various points in the system to aggregate the metrics, and a workload manager collects the metrics. The collected metrics are then processed by a rules engine at the workload manager, which analyzes the metrics and generates adjustment recommendations to provide quality-of-service and workload management.

Abstract: Described herein are systems and methods for providing diagnostic information between an application server (e.g., a WebLogic server), and a virtual machine (VM) (e.g., a JRockit VM). In accordance with an embodiment, the system includes a diagnostic monitoring component adapted to obtain diagnostic data indicative of all available data on an application server, including diagnostic information from one or more application server components running on the application server, obtain diagnostic data from the virtual machine, and persists the diagnostic data obtained from the application server and the virtual machine into a diagnostic data image file. The system further includes a console that provides access to the diagnostic data persisted into the diagnostic image file.

Abstract: Described herein are systems and methods for collecting and surfacing metrics with respect to their classification; and the use of the metrics by a workload manager and other application monitoring tools to provide quality-of-service and workload management. Each request is classified, either by the application server or another process. A request classification identifier (RCID) is associated with each request, and thereafter flows with that request as it is being processed. The RCID value is used by data collectors at various points in the system to aggregate the metrics, and a workload manager collects the metrics. The collected metrics are then processed by a rules engine at the workload manager, which analyzes the metrics and generates adjustment recommendations to provide quality-of-service and workload management.

Abstract: Described herein are systems and methods for collecting and surfacing metrics with respect to their classification; and the use of the metrics by a workload manager and other application monitoring tools to provide quality-of-service and workload management. Each request is classified, either by the application server or another process. A request classification identifier (RCID) is associated with each request, and thereafter flows with that request as it is being processed. The RCID value is used by data collectors at various points in the system to aggregate the metrics, and a workload manager collects the metrics. The collected metrics are then processed by a rules engine at the workload manager, which analyzes the metrics and generates adjustment recommendations to provide quality-of-service and workload management.

Abstract: Described herein are systems and methods for providing diagnostic information between an application server (e.g., a WebLogic server), and a virtual machine (VM) (e.g., a JRockit VM). In accordance with an embodiment, the system includes a diagnostic monitoring component adapted to obtain diagnostic data indicative of all available data on an application server, including diagnostic information from one or more application server components running on the application server, obtain diagnostic data from the virtual machine, and persists the diagnostic data obtained from the application server and the virtual machine into a diagnostic data image file. The system further includes a console that provides access to the diagnostic data persisted into the diagnostic image file.