Abstract: In an example, a method of allocating storage objects of a virtual machine across storage devices in a computing system includes: collecting capabilities of the storage devices in the computing system; assigning a tier of a plurality of tiers to each of the storage devices in the computing system; collecting performance data for the storage devices across a period of time; analyzing the performance data and the capabilities to determine a placement of storage objects of the virtual machine across the plurality of tiers; and moving the storage objects to respective ones of the storage devices based on the assigned tiers.

Abstract: Techniques for optimizing cluster-wide operations in a hyper-converged infrastructure (HCI) deployment are provided. In one set of embodiments, a computer system can receive a request to initiate a cluster-wide operation on a cluster of the HCI deployment, where the cluster includes a plurality of host systems, and where the cluster-wide operation involves a host-by-host evacuation of virtual machines (VMs) and storage components from the plurality of host systems. The computer system can further generate a set of recommendations for executing the host-by-host evacuation in a manner that minimizes the total amount of time needed to complete the cluster-wide operation. The computer system can then execute the host-by-host evacuation in accordance with the set of recommendations.

Abstract: Techniques for optimizing virtual machine (VM) storage performance in a hyper-converged infrastructure (HCI) deployment comprising a stretched cluster of host systems are provided. In one set of embodiments, a computer system can identify one or more stretched VMs in the stretched cluster, where storage objects associated with the one or more stretched VMs are replicated across the sites of the cluster. The computer system can further determine, for each stretched VM, whether a greater number of the VM's storage objects are accessible to the VM via site-local replica copies residing at a first site where the VM is currently running, or via site-remote replica copies residing at a second site where the VM is not currently running. If a greater number of the VM's storage objects are accessible to the VM via the site-remote replica copies, the VM can be migrated from the first site to the second site.

Abstract: Techniques for orchestrating and prioritizing the rebuild of storage object components in a hyper-converged infrastructure (HCI) deployment comprising a cluster of host systems are provided. In one set of embodiments, a computer system can identify a list of storage object components impacted by a maintenance event or failure of a host system in the cluster. The computer system can further determine a priority class for each storage object component in the list, where the determined priority class is based on a virtual machine (VM)-level priority class assigned to a VM to which the storage object component belongs.

Abstract: Techniques for implementing virtual machine (VM) compute to storage object proximity in a hyper-converged infrastructure (HCI) deployment comprising a cluster of host systems are provided. In one set of embodiments, a computer system can analyze a layout of one or more storage objects of a VM to be placed within the cluster. The computer system can further determine, based on the analyzing, that the one or more storage objects are stored on a single host system or within a single fault domain of the cluster. The computer system can then cause the VM to be placed on that single host system or within that single fault domain.

Abstract: Techniques for ensuring sufficient available storage capacity for data resynchronization or data reconstruction in a cluster of a hyper-converged infrastructure (HCI) deployment are provided. In one set of embodiments, a computer system can receive a request to provision or reconfigure an object on the cluster. The computer system can further calculate one or more storage capacity reservations for one or more host systems in the cluster, where the one or more storage capacity reservations indicate one or more amounts of local storage capacity to reserve on the one or more host systems respectively in order to ensure successful data resynchronization or data reconstruction in the case of a host system failure or maintenance event. If placement of the object on the cluster will result in a conflict with the one or more storage capacity reservations, the computer system can deny the request to provision or reconfigure the object.

Abstract: System and method for performing resource allocation for a host computer cluster use resource allocation weight scores for resource nodes in a cluster resource allocation hierarchy of the host computer cluster based on the number of powered-on clients in the resource nodes.

Abstract: In a computer-implemented method for auto-discovery of pre-configured hyper-converged computing devices on a network, upon initial connection to a network, an auto-discovery request is automatically broadcasting over the network, by a first pre-configured hyper-converged computing device for supporting a virtualization infrastructure, to other pre-configured hyper-converged computing devices on the network. A response to the auto-discovery request is received from the other pre-configured hyper-converged computing devices for auto-discovery of the other pre-configured hyper-converged computing devices on the network.

Abstract: System and method for performing resource allocation for a host computer cluster use resource allocation weight scores for resource nodes in a cluster resource allocation hierarchy of the host computer cluster based on the number of powered-on clients in the resource nodes.

Abstract: A method for adjusting the configuration of host computers in a cluster on which virtual machines are running in response to a failed change in state is disclosed. The method involves receiving at least one reason a change in state failed the present check or the future check, associating the at least one reason with at least one remediation action, wherein the remediation action would allow the change in state to pass both a present check and a future check, assigning the at least one remediation action a cost, and determining a set of remediation actions to perform based on the cost assigned to each remediation action. In an embodiment, the steps of this method may be implemented in a non-transitory computer-readable storage medium having instructions that, when executed in a computing device, causes the computing device to carry out the steps.

Abstract: A method for supporting a change in state within a cluster of host computers that run virtual machines is disclosed. The method involves identifying a change in state within a cluster of host computers that run virtual machines, determining if predefined criteria for available resources within the cluster of host computers can be met by resources available in the cluster of host computers, and determining if predefined criteria for available resources within the cluster of host computers can be maintained after at least one different predefined change in state. In an embodiment, the steps of this method may be implemented in a non-transitory computer-readable storage medium having instructions that, when executed in a computing device, causes the computing device to carry out the steps.

Abstract: In a computer-implemented method for auto-discovery of pre-configured hyper-converged computing devices on a network, upon initial connection to a network, an auto-discovery request is automatically broadcasting over the network, by a first pre-configured hyper-converged computing device for supporting a virtualization infrastructure, to other pre-configured hyper-converged computing devices on the network. A response to the auto-discovery request is received from the other pre-configured hyper-converged computing devices for auto-discovery of the other pre-configured hyper-converged computing devices on the network.

Abstract: A method for adjusting the configuration of host computers in a cluster on which virtual machines are running in response to a failed change in state is disclosed. The method involves receiving at least one reason a change in state failed the present check or the future check, associating the at least one reason with at least one remediation action, wherein the remediation action would allow the change in state to pass both a present check and a future check, assigning the at least one remediation action a cost, and determining a set of remediation actions to perform based on the cost assigned to each remediation action. In an embodiment, the steps of this method may be implemented in a non-transitory computer-readable storage medium having instructions that, when executed in a computing device, causes the computing device to carry out the steps.

Abstract: A method for supporting a change in state within a cluster of host computers that run virtual machines is disclosed. The method involves identifying a change in state within a cluster of host computers that run virtual machines, determining if predefined criteria for available resources within the cluster of host computers can be met by resources available in the cluster of host computers, and determining if predefined criteria for available resources within the cluster of host computers can be maintained after at least one different predefined change in state. In an embodiment, the steps of this method may be implemented in a non-transitory computer-readable storage medium having instructions that, when executed in a computing device, causes the computing device to carry out the steps.