New Relic, Inc.
Dynamically modifying systems to increase system efficiency

Abstract:

Users of client devices can take any number of actions using applications of an application system to achieve an outcome. A monitoring system aggregates the interactions into a user interaction path. Over time, the monitoring system generates a large number of user interaction paths. The monitoring system analyzes the user interaction paths for correlation between interactions and outcomes. The monitoring system can correlate user interaction paths to generated interactions of a system interaction path. The monitoring system determines a correlation between interactions and outcomes by calculating a success factor based on an efficiency score and a prevalence score. The success factor is a measure correlation between a particular interaction of the application system and an outcome, the prevalence score is a measure of how often a particular interaction occurs, and the efficiency score is a measure of the application system performance for a particular interaction.