Abstract: A method to manage a distributed computing machine comprising: configuring a cluster to provide compute and memory resources to run one or more containers that include computer program code to perform operations of the distributed computing machine; configuring one or more cloud-based components to interact with the distributed computing machine; recording in memory storage media, cloud-based component information that indicates events in which the distributed computing machine and the one or more cloud-based components interact; recording in memory storage media, activity metrics information indicating activity level within the distributed computing machine; using the cloud-based component information and the activity metrics information to train one or more machine learning models to represent behavior of the distributed computing machine.

Abstract: A method is provided method to control deployment of an application over a network in response to a client request sent over the network to access the application comprising: capturing at one or more first computing machines coupled to the network, an identifier of the requested application from the client request; sending information over the network from the one or more first computing machines coupled to the network to one or more second machines coupled to the network, wherein the information identifies the requested application and identifies a network address of an edge node at which to deploy the requested application; receiving the information at the one or more second machines coupled to the network; and causing by the one or more second machines coupled to the network, deployment of the application over the network to the edge node at the identified network address, based at least in part upon the received information.

Abstract: A system is provided to manage operation of workloads over a workload placement network comprising: a user interface to receive workload placement specifications that indicate locations; a data storage device storing cluster location information; a workload placement manager to determine placement of workloads at clusters based at least in part upon cluster locations and cluster resource utilization; wherein the clusters include metrics collector instances to collect information indicating cluster resource utilization and to send the collected information over the workload placement network to the placement the orchestration manager.