Abstract: A method is provided for garbage collection in a heap of an application server that uses automated garbage collection. The method comprises gathering information about a plurality of garbage collection events. The method further comprises identifying a correlation between garbage collection activity and a volume of applications transactions in the application server. The method further comprises, based on the correlation, forecasting at least one of a future utilization of heap memory and a future garbage collection activity based on a projected future transaction volume. The method further comprises tuning the heap based on the forecast.

Abstract: A system provides network application transaction analysis. An analysis tool, when executed by a processor, measures an application transaction metric and calculates a historical system average and a historical application average associated with the application transaction metric based on server performance logs. The tool determines whether the application transaction metric differs from the historical system average by more than a first threshold amount during consecutive measurements. The tool determines whether the application transaction metric differs from the historical application average by more than a second threshold amount during consecutive measurements if the application transaction metric does not differ from the historical system average by more than the first threshold amount during consecutive measurements.