Abstract: A method facilitating soft deletion and restoration of clustered file systems includes, in response to receiving an instruction to temporarily disable a computing cluster, creating, by a system including at least one processor, snapshots of volumes associated with a virtual machine (VM) of the computing cluster; generating, by the system, mapping data representative of a mapping between snapshot identifiers, of the snapshots of the volumes associated with the VM, and an instance identifier of the VM; and, in response to the mapping data being determined to have been successfully generated, deleting, by the system, the VM.

Abstract: A method facilitating soft deletion and restoration of clustered file systems includes, in response to receiving an instruction to temporarily disable a computing cluster, creating, by a system including at least one processor, snapshots of volumes associated with a virtual machine (VM) of the computing cluster; generating, by the system, mapping data representative of a mapping between snapshot identifiers, of the snapshots of the volumes associated with the VM, and an instance identifier of the VM; and, in response to the mapping data being determined to have been successfully generated, deleting, by the system, the VM.

Abstract: The technology described herein is directed towards deploying a node cluster, e.g., in a cloud environment, based on abstract user storage solution inputs/service level objective input data, including user-specified storage capacity and performance characteristics. An intelligent system converts the input data into cluster topology data (e.g., virtual machines, storage devices/volumes and other information) that can be used for initial cluster deployment or infrastructure updates to existing node clusters in multi-cloud environments. The input data can be directed to an initial deployment of a new node cluster or an update to an existing node cluster. Further, the system can take customer rules as input data, monitor cluster conditions corresponding to those rules, and update the cluster based on a condition in the rules being met, by taking an action associated with the rule's condition to automatically generate and handle a cluster update request.

Abstract: The technology described herein is directed towards deploying a node cluster, e.g., in a cloud environment, based on user input data, including storage capacity and a delegated subnet. The subnet is divided into groups of internet protocol (IP) addresses for different usages, including for use by virtual network interface cards associated with virtual machines of the cluster. Based on the number of nodes determined from the input data, a static pool of primary IP addresses and a dynamic pool of secondary IP addresses are created for association with the virtual network interface cards. When the node cluster is operational, a failed virtual machine can be failed over to non-failed virtual machines by use of the secondary IP addresses previously associated with the failed virtual machine. Also described is handling IP address association with virtual network interface cards when the number of virtual machines of the cluster is increased or decreased.