Abstract: Virtualized applications are autoscaled by receiving performance data in time-series format from a running virtualized application, computationally analyzing the performance data to determine a pattern therein, and extending the performance data to a time in the future based at least on the determined pattern. The extended performance data is analyzed to determine if resources allocated to the virtualized application are under-utilized or over-utilized, and a schedule for re-allocating resources to the virtualized application based at least in part on a result of the analysis of the extended performance data is created.

Abstract: A request to deploy a cloud-based application is received, and a unique identifier is assigned thereto. A server is selected and an agent program is installed thereon. A script queue stores a plurality of commands for the installation and configuration of the application, and the commands are sent to the agent for execution on the server, the execution of the commands causing installation and configuration of the application on the server.

Abstract: Virtualized applications are autoscaled by receiving performance data in time-series format from a running virtualized application, computationally analyzing the performance data to determine a pattern therein, and extending the performance data to a time in the future based at least on the determined pattern. The extended performance data is analyzed to determine if resources allocated to the virtualized application are under-utilized or over-utilized, and a schedule for re-allocating resources to the virtualized application based at least in part on a result of the analysis of the extended performance data is created.