Abstract:
A Java enterprise resource management (JERM) system and methods that implement a work chain are provided that allow both timing metrics and call metrics to be monitored and gathered in real-time, and which can cause appropriate actions to be taken in real-time. The JERM system provides a level of granularity with respect to the monitoring of methods triggered during a transaction that is equivalent to or better than that which is currently provided in the aforementioned known call-analysis resource management systems. In addition, the JERM system also provides information associated with the timing of hops that occur between servers, and between and within applications, during a transaction. Because all of this information is obtained in real-time, the JERM system is able to respond in real-time to cause resources to be scaled in or scaled out in a way that provides improved efficiency and productivity, and that enables the enterprise to quickly recover from resource failures.
Abstract:
A Java enterprise resource management (JERM) system and method are provided that allow both timing metrics and call metrics to be monitored and gathered in real-time, and which can cause appropriate actions to be taken in real-time. The JERM system provides a level of granularity with respect to the monitoring of methods triggered during a transaction that is equivalent to or better than that which is currently provided in the aforementioned known call-analysis resource management systems. In addition, the JERM system also provides information associated with the timing of hops that occur between servers, and between and within applications, during a transaction. Because all of this information is obtained in real-time, the JERM system is able to respond in real-time to cause resources to be scaled in or scaled out in a way that provides improved efficiency and productivity, and that enables the enterprise to quickly recover from resource failures.
Abstract:
A computerized work chain and methods are provided. The work chain comprises at least one processing device configured to perform the computerized work chain M work queues implemented in the one or more processing devices, and a work queue handler implemented in the one or more processing devices, where M is a positive integer that is greater than or equal to one. Each work queue comprises a queue monitor, an exception monitor, a pool of worker threads, a logger, and a data queue. The work queue handler forms the work chain by linking the M work queues together such that respective outputs of a first one of the work queues through an Mnth-1 one of the work queues are linked to respective inputs of a second one of the work queues through an Mnth one of the work queues, respectively.
Abstract:
A Java enterprise resource management (JERM) system and method are provided that allow both timing metrics and call metrics to be monitored and gathered in real-time, and which can cause appropriate actions to be taken in real-time. The JERM system provides a level of granularity with respect to the monitoring of methods triggered during a transaction that is equivalent to or better than that which is currently provided in the aforementioned known call-analysis resource management systems. In addition, the JERM system also provides information associated with the timing of hops that occur between servers, and between and within applications, during a transaction. Because all of this information is obtained in real-time, the JERM system is able to respond in real-time to cause resources to be scaled in or scaled out in a way that provides improved efficiency and productivity, and that enables the enterprise to quickly recover from resource failures.