Vmware, Inc.

Duncan Epping

Cormac Hogan

Frank Denneman

Ganesha Shanmuganathan

Keith Farkas

Aashish Parikh

Jeevitha Kirubanandam

Anne Holler

Dave Shanley

Wit Riewrangboonya

Michael R MacFaden

Limin Wang

Kalyanaraman Shankari

Andrew Mitchell

Ronald Gerard Singler, Jr

The present disclosure is related to methods, systems, and machine-readable media for force provisioning virtual objects in degraded stretched clusters. A request to provision a virtual object by a stretched cluster according to a storage policy specified as part of the request can be received by a software defined data center (SDDC). The cluster can include a plurality of sites. An insufficiency of storage policy resources to satisfy the storage policy specified for the virtual object can be determined. The virtual object can be force provisioned responsive to determining storage policy resources sufficient to satisfy the storage policy at one of the plurality of sites.

Force provisioning virtual objects in degraded stretched clusters

An example method of placing a virtual machine (VM) in a cluster of hosts is described. Each of the hosts having a hypervisor managed by a virtualization management server for the cluster, the hosts separated into a plurality of nonuniform memory access (NUMA) domains. The method including: comparing a virtual central processing unit (vCPU) and memory configuration of the VM with physical NUMA topologies of the hosts; selecting a set of the hosts spanning at least one of the NUMA domains, each host in the set of hosts having a physical NUMA topology that maximizes locality for vCPU and memory resources of the VM as specified in the vCPU and memory configuration; and providing the set of hosts to a distributed resource scheduler (DRS) executing in the virtualization management server, the DRS configured to place the VM in a host selected from the set of hosts.

Optimizing VM NUMA configuration and workload placement in a heterogeneous cluster

The present disclosure is related to methods, systems, and machine-readable media for force provisioning using available resources. A request can be received to provision a virtual computing instance by a software defined data center according to a storage policy specified as part of the request. An insufficiency of storage policy resources to satisfy the storage policy specified for the VCI can be determined. A best-match storage policy can be determined for the VCI based on available storage policy resources, and the VCI can be force provisioned according to the best-match storage policy using the available storage policy resources.

Force provisioning using available resources

Techniques for automated datastore unavailability handling are provided. In one set of embodiments, a computer system can receive a request to bring a datastore offline and, in response to the request, identify one or more virtual machines (VMs) in a virtualized computing environment that have one or more virtual disks stored in the datastore. The computer system can then, for each of the one or more VMs, determine an action to be taken with respect to the VM in response to the datastore's unavailability and trigger execution of the action.

Automated datastore unavailability handling

The disclosure provides an approach for high-availability admission control. Embodiments include determining a number of slots present on the cluster of hosts. Embodiments include receiving an indication of a number of host failures to tolerate. Embodiments include determining a number of slots that are assigned to existing computing instances on the cluster of hosts. Embodiments include determining an available cluster capacity based on the number of slots present on the cluster of hosts, the number of host failures to tolerate, and the number of slots that are assigned to existing computing instances on the cluster of hosts. Embodiments include determining whether to admit a given computing instance to the cluster of hosts based on the available cluster capacity.

High-availability admission control for accelerator devices

In certain embodiments, a computer system can create first and second pluralities of disk groups in a hyperconverged infrastructure (HCI) cluster, where each disk group in the first plurality has capacity storage devices of a first type and each disk group in the second plurality has capacity storage devices of a second type. The computer system can further tag each disk group in the first plurality with a first disk group tag, tag each disk group in the second plurality with a second disk group tag, and create a storage policy that includes a placement rule identifying the first disk group tag. Then, at a time of provisioning a virtual machine (VM) in the HCI cluster that is associated with the storage policy, the computer system can place the VM on one or more of the first plurality of disk groups in accordance with the placement rule identifying the first disk group tag.

Enabling multiple storage tiers in a hyperconverged infrastructure (HCI) cluster

A method for storage management of an object among a plurality of storage devices of a datacenter is provided. The method, in response to receiving an input on a selection item presented through a UI, determines that a manual storage management of an object is selected. The method then receives a storage policy for storing the object. Based on the storage policy, the method defines a plurality of components for the object and determines whether a set of one or more storage resources is available for storing the plurality of components. When the method determines that the set is available, for each component, the method presents the set of storage resources, receives a selection of a storage resource in the set to store the component, and updates the set based on the policy and the selection before presenting the updated set to select from for storing a next component.

Managed placement of object components in an object-based datastore

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 a cluster of host systems of a hyper-converged infrastructure (HCI) deployment. 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.

Techniques for implementing virtual machine (VM) compute to storage object proximity

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. The computer system can then initiate rebuilds of the storage object components in the list on a per-VM and per-priority class basis, such that: (1) the rebuilds of storage object components belonging to the same VM are initiated consecutively, and (2) the rebuilds of storage object components with higher priority classes are initiated before the rebuilds of storage object components with lower priority classes.

Orchestrating and prioritizing the rebuild of storage object components in a hyper-converged infrastructure

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.

Automated tiering of file system objects in a computing system

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.

Optimizing cluster-wide operations in a hyper-converged infrastructure (HCI) deployment

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.

Ensuring sufficient available storage capacity for data resynchronization/reconstruction in a hyper-converged infrastructure

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.

Optimizing virtual machine storage performance in a stretched cluster

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.

Growing community of inventors

Helmond, Netherlands

Duncan Epping