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:
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:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
The current document is directed to methods and systems that automatically deploy and manage applications that are associated with hardware dependencies. As one example, many machine-learning-based applications use specialized hardware accelerators during training phases since, in many cases, training of machine-learning-based applications and systems would be computationally intractable without the increased computational bandwidth provided by hardware accelerators. However, such hardware dependencies may prevent machine-learning-based applications from being deployed and managed effectively by widely used automated orchestration systems, and manual deployment of applications with hardware dependencies may suffer significant inefficiencies and problems related to maintenance downtime within distributed computer systems. The currently disclosed methods and systems provide centralized maintenance-and-hardware-dependency scheduling information along with an asynchronous protocol for access to the maintenance-and-hardware-dependency scheduling information by automated orchestration systems and managers and administrators of distributed computer systems to facilitate efficient deployment of machine-learning-based applications with hardware dependencies.
Abstract:
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.
Abstract:
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.
Abstract:
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