Abstract: A method for rightsizing an application, including analyzing, via processing circuitry, metrics from containers; determining, via the processing circuitry, a resource allocation and a target resource utilization for an application workload based on the metrics; and configuring, via the processing circuitry, the application workload based on the resource allocation, the target resource utilization, and the metrics.

Abstract: A system, method, and server for optimizing deployment of a containerized application. The system includes a machine and a server configured to receive optimization criteria related to the containerized application, the optimization criteria including affecting parameters, effected metrics, and stopping criteria. The server is further configured to transmit at least one value of the affecting parameter to the machine, receive results of a trial of the containerized application performed by the machine according to the transmitted at least one value, the results of the trial including an empirical value of the effected metrics, update an optimization model based on the trial results, compare the results of the trial and the updated optimization model to the one or more stopping criteria, and transmit an optimized one of the at least one value of the affecting parameters to the machine for deployment of the containerized application.

Abstract: A system, method, and server for optimizing deployment of a containerized application. The system includes a machine and a server configured to receive optimization criteria related to the containerized application, the optimization criteria including affecting parameters, effected metrics, and stopping criteria. The server is further configured to transmit at least one value of the affecting parameter to the machine, receive results of a trial of the containerized application performed by the machine according to the transmitted at least one value, the results of the trial including an empirical value of the effected metrics, update an optimization model based on the trial results, compare the results of the trial and the updated optimization model to the one or more stopping criteria, and transmit an optimized one of the at least one value of the affecting parameters to the machine for deployment of the containerized application.