Abstract: Items of inventory of a data center are organized in a hierarchical manner across nodes of at least one hierarchical tree. A method of generating items of inventory of the data center to which a user has access includes generating a plurality of first user access paths based on permissions given to the user at one or more nodes of a first hierarchical tree, and performing a database look-up on an inventory database using the first user access paths to determine the inventory items of the data center to which the user has access. The inventory database stores for each inventory item of the data center identifying information that uniquely identifies the inventory item and node information indicating the node of the first hierarchical tree where the inventory item is arranged.

Abstract: A method of managing configurations of a software-defined data center (SDDC) includes: retrieving a current configuration of a first management appliance of the SDDC and a current configuration of a second management appliance of the SDDC; calling a first custom resource object of a container orchestration platform to acquire a desired configuration of the first management appliance and calling a second custom resource object of the container orchestration platform to acquire a desired configuration of the second management appliance; determining a difference between the current and desired configurations of the first management appliance and instructing the first management appliance to apply the desired configuration of the first management appliance; and determining a difference between the current and desired configurations of the second management appliance and instructing the second management appliance to apply the desired configuration of the second management appliance.

Abstract: Described herein are systems, methods, and software to manage the migration of workloads from a first computing system to a second computing system. In one implementation, the first computing system identifies a request to migrate one or more workloads to a second computing system. In response to the request, the first computing system disables one or more services and disables all but one network interface on the first computing system. The first computing system then communicates configuration information to the second computing system and monitors for a cancel notification from the second computing system using the remining network interface. After receiving the cancel notification, the first computing system enables the other network interfaces may initiate the one or more services.

Abstract: Various examples are disclosed for predictive allocation of computing resources in a virtual desktop infrastructure environment. A computing environment can generate a predictive usage model as a time series that forecasts a usage of virtual machines that provide virtual desktop sessions in a virtual desktop infrastructure environment. The computing environment can determine a number of the plurality of virtual machines that will be operating at a future time utilizing the predictive usage model and identify computing resources required for the number of the virtual machines to operate at the future time. The computing environment can allocate the computing resources such that the computing resources are available at the future time.

Abstract: Various examples are disclosed for predictive allocation of computing resources in a virtual desktop infrastructure environment. A computing environment can generate a predictive usage model as a time series that forecasts a usage of virtual machines that provide virtual desktop sessions in a virtual desktop infrastructure environment. The computing environment can determine a number of the plurality of virtual machines that will be operating at a future time utilizing the predictive usage model and identify computing resources required for the number of the virtual machines to operate at the future time. The computing environment can allocate the computing resources such that the computing resources are available at the future time.