Abstract: A framework for transferring workloads between security regions of an infrastructure service. For example, techniques for transferring workloads between security regions across a private network based on signatures associated with the security regions.

Abstract: A framework for transferring workloads between security regions of an infrastructure service. For example, techniques for transferring workloads between security regions across a private network based on signatures associated with the security regions.

Abstract: A deployment orchestrator system is disclosed that determines an impact of deploying a new version of a component of an application deployed in a computing environment. The impact of deploying the new version of the component may be determined by generating a deployment factor for deploying the new version of a component based on analyzing information that identifies both a technical and a non-technical impact of an update made to the component. In certain embodiments, the deployment orchestrator system includes capabilities for generating different deployment plans for deploying the new version of the component. Each deployment plan is tailored based on a specific deployment factor determined for the deployment. The new version of the component is then deployed based at least in part on the deployment plan to different production regions of a production environment of the deployment orchestrator system.

Abstract: A framework for transferring workloads between security regions of an infrastructure service. For example, techniques for transferring workloads between security regions across a private network based on signatures associated with the security regions.

Abstract: The present is directed to systems, methods, and devices for Zero Touch Provisioning (“ZTP”). The system can include a data center computing network, and at least one server coupled with the data center computing network. The server can receive a trigger signal from a triggering device coupled to a data center hardware network, transmit an executable script to the triggering device, which executable script instructs the triggering device to generate a definition file including a unique identifier of the triggering device, receive the definition file from the triggering device, identify a configuration file associated with the triggering device based at least in part on the unique identifier, and provision the triggering device by delivering the configuration file to the triggering device.

Abstract: The present is directed to systems, methods, and devices for Zero Touch Provisioning (“ZTP”). The system can include a data center computing network, and at least one server coupled with the data center computing network. The server can receive a trigger signal from a triggering device coupled to a data center hardware network, transmit an executable script to the triggering device, which executable script instructs the triggering device to generate a definition file including a unique identifier of the triggering device, receive the definition file from the triggering device, identify a configuration file associated with the triggering device based at least in part on the unique identifier, and provision the triggering device by delivering the configuration file to the triggering device.

Abstract: A deployment orchestrator system is disclosed that determines an impact of deploying a new version of a component of an application deployed in a computing environment. The impact of deploying the new version of the component may be determined by generating a deployment factor for deploying the new version of a component based on analyzing information that identifies both a technical and a non-technical impact of an update made to the component. In certain embodiments, the deployment orchestrator system includes capabilities for generating different deployment plans for deploying the new version of the component. Each deployment plan is tailored based on a specific deployment factor determined for the deployment. The new version of the component is then deployed based at least in part on the deployment plan to different production regions of a production environment of the deployment orchestrator system.

Abstract: A deployment orchestrator system is disclosed that determines an impact of deploying a new version of a component of an application deployed in a computing environment. The impact of deploying the new version of the component may be determined by generating a deployment factor for deploying the new version of a component based on analyzing information that identifies both a technical and a non-technical impact of an update made to the component. In certain embodiments, the deployment orchestrator system includes capabilities for generating different deployment plans for deploying the new version of the component. Each deployment plan is tailored based on a specific deployment factor determined for the deployment. The new version of the component is then deployed based at least in part on the deployment plan to different production regions of a production environment of the deployment orchestrator system.

Abstract: A system for recording media streams of live events, such as live meetings, is provided. The system acts as a passive client for one or more media streams of the live event but does not perform other functionality associated with the live event, such as presenting the media streams to a user. The system can be used by multiple content presenters, including third-party content presenters. Subsequently, the recorded media streams can be published for future asynchronous playback of the event.