Abstract: A computer implemented system and method for pro-active application monitoring and alerting using affinity band. To enable pro-active monitoring, the present invention may derive affinity band. The invention accesses performance data generated from monitoring an application associated with one or more transaction and configuring iteration period to derive affinity band. The method provides configuring an interval within iteration period whereby all performance metric values may be aggregated and deriving affinity band for each of the performance metrics. The affinity band may then be used as benchmark or threshold to monitor current values for each of the performance metrics. Alerts may be raised through pro-active monitoring mechanism when the current values of the performance metric go beyond the threshold set, displaying a tendency to rise or go beyond normal values with extent of deviation.

Abstract: A computer implemented system and method for pro-active application monitoring and alerting using affinity band. To enable pro-active monitoring, the present invention may derive affinity band. The invention accesses performance data generated from monitoring an application associated with one or more transaction and configuring iteration period to derive affinity band. The method provides configuring an interval within iteration period whereby all performance metric values may be aggregated and deriving affinity band for each of the performance metrics. The affinity band may then be used as benchmark or threshold to monitor current values for each of the performance metrics. Alerts may be raised through pro-active monitoring mechanism when the current values of the performance metric go beyond the threshold set, displaying a tendency to rise or go beyond normal values with extent of deviation.

Abstract: The disclosed embodiment relates to a method for optimizing end-to-end response times distribution across a plurality of components in a performance engineering process. The method preferably comprises determining first, second, and third end-to-end response times for a plurality of components in the process, and determining an optimal end-to-end response time for the components in the process, wherein the optimal end-to-end response time distribution is based on an average of the first end-to-end response time, the second end-to-end response time, and the third end-to-end response time for each component. The disclosed embodiment also relates to a system and computer-readable code that can be used to implement the exemplary methods.

Abstract: The disclosed embodiment relates to a method for optimizing end-to-end response times distribution across a plurality of components in a performance engineering process. The method preferably comprises determining first, second, and third end-to-end response times for a plurality of components in the process, and determining an optimal end-to-end response time for the components in the process, wherein the optimal end-to-end response time distribution is based on an average of the first end-to-end response time, the second end-to-end response time, and the third end-to-end response time for each component. The disclosed embodiment also relates to a system and computer-readable code that can be used to implement the exemplary methods.