Dell Software Inc.

Quest Software Inc.

Robert A Dickinson

Joseph Rustad

Xiangrui Wang

Christine Feldmann

Daniel Ivanisevic

Douglas Doe

In one embodiment, a method includes continuously receiving time-series data for end-user transactions occurring on one or more monitored systems. The method further includes continuously processing and storing the time-series data in a plurality of virtual machines. In addition, the method includes, responsive to a determined time-series-data burst, spawning one or more temporary virtual machines. Moreover, the method includes, during the determined time-series-data burst, continuously processing and storing the time-series data in the plurality of virtual machines and in the one or more temporary virtual machines. The method also includes, responsive to a determined conclusion of the determined time-series-data burst, causing the one or more temporary virtual machines to transition to a passive state in which the one or more temporary virtual machines cease processing and storing new time-series data but make previously-stored time-series data available for access.

Systems and methods for archiving time-series data during high-demand intervals

In one embodiment, a method includes operating at least one distributed software application. The method further includes receiving a web request from an end-user information handling system in connection with the at least one distributed software application. Further, the method includes generating a transaction identifier for the transaction. Moreover, the method includes processing the transaction. The processing includes generating backend-performance data indexed by the transaction identifier. Additionally, the method includes injecting the transaction identifier into a web response to the web request. Also, the method includes transmitting the web response to the end-user information handling system along a transmission path. In addition, the method includes, at a node along the transmission path, passively observing the response and generating end-user experience data therefrom.

System and method for correlating end-user experience data and backend-performance data

Growing community of inventors

Boulder, CO, United States of America

Robert A Dickinson