Abstract: An example virtualized computing system includes: a host cluster having hosts and a virtualization layer executing on hardware platforms of the hosts, the virtualization layer supporting execution of virtual machines (VMs); an orchestration control plane integrated with the virtualization layer, the orchestration control plane including a master server executing in a first VM of the VMs; guest cluster infrastructure software (GCIS) executing in the master server, the GCIS configured to create a set of objects defining a container orchestration cluster, and manage lifecycles of second VMs of the VMs based on state of the set of objects; and guest software executing in the second VMs to implement the container orchestration cluster as a guest cluster of the host cluster, the guest software having components that interface with the GCIS.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to manage a deployment of virtual machines in a cluster by, in a first host of a plurality of hosts, monitor, with first control plane services, an availability of second control plane services at a second host of the plurality of hosts, wherein the first control plane services and the second control plane services support implementation of application programming interface (API) requests in association with managing a cluster, after a determination that the second control plane services at the second host is not available, assign the first control plane services at the first host to operate in place of the second control plane services at the second host, and in the first host, assign, via the first control plane services at the first host, resources of one or more hosts in the cluster to support the API request.

Abstract: An example virtualized computing system includes: a host cluster having hosts and a virtualization layer executing on hardware platforms of the hosts, the virtualization layer supporting execution of virtual machines (VMs); an orchestration control plane integrated with the virtualization layer, the orchestration control plane including a master server executing in a first VM of the VMs; guest cluster infrastructure software (GCIS) executing in the master server, the GCIS configured to create a set of objects defining a container orchestration cluster, and manage lifecycles of second VMs of the VMs based on state of the set of objects; and guest software executing in the second VMs to implement the container orchestration cluster as a guest cluster of the host cluster, the guest software having components that interface with the GCIS.

Abstract: An example method of deploying a virtual machine (VM) in a software-defined data center (SDDC) includes: receiving a VM specification for the VM at an elastic control plane executing in a cluster of hosts having a virtualization layer; composing, by the elastic control plane in response to the VM specification, logical resources of the cluster managed by the virtualization layer; composing, by the elastic control plane, physical resources of the SDDC to add new hardware to the cluster; expanding, by the elastic control plane, the logical resources with new logical resources managed by the virtualization layer and backed by the new hardware; and deploying, by the elastic control plane, the VM in a virtual environment composed from the logical resources as expanded.

Abstract: Examples described herein include systems and methods for backing up and recovering a software-defined data center (“SDDC”). In one example, entities of the SDDC, such as virtual machines, hosts, and clusters, can coexist with corresponding entity stores. The entity stores can store current state information for each SDDC entity. For example, an identifier or name of a virtual machine can be stored in that virtual machine's corresponding entity store. When recovery of a controller is needed, the controller can rebuild state information that has changed after the controller was backed up, by retrieving state information from entity stores of the various SDDC entities.

Abstract: Examples described herein include systems and methods for backing up and recovering a software-defined data center (“SDDC”). In one example, entities of the SDDC, such as virtual machines, hosts, and clusters, can coexist with corresponding entity stores. The entity stores can store current state information for each SDDC entity. For example, an identifier or name of a virtual machine can be stored in that virtual machine's corresponding entity store. When recovery of a controller is needed, the controller can rebuild state information that has changed after the controller was backed up, by retrieving state information from entity stores of the various SDDC entities.

Abstract: An example method of placing resources in domains of a virtualized computing system is described. A host cluster includes a virtualization layer executing on hardware platforms of the hosts. The method includes: determining, at a virtualization management server, definitions of the domains and resource groups, each of the domains including a plurality of placement targets, each of the resource groups including a plurality of the resources; receiving, at the virtualization management server from the user, affinity/anti-affinity rules that control placement of the resource groups within the domains; receiving, at the virtualization management server from the user, constraints that further control placement of the resource groups within the domains; and placing, by the virtualization management server, the resource groups within the domains based on the affinity/anti-affinity rules and the constraints.

Abstract: Examples provide a method of migrating a multi-process virtual machine (VM) from at least one source host to at least one destination host in a virtualized computing system. The method includes: copying, by VM migration software executing in the at least one source host, guest physical memory of the multi-process VM to the at least one destination host; obtaining, by the VM migration software, at least one device checkpoint for at least one device supporting the multi-process VM, the multi-process VM including a user-level monitor (ULM) and at least one user-level driver (ULD), the at least one ULD interfacing with the at least one device, the ULM providing a virtual environment for the multi-process VM; transmitting the at least one device checkpoint to the at least one destination host; restoring the at least one device checkpoint; and resuming the multi-process VM on the at least one destination host.

Abstract: An example method of data protection in a virtualized computing system, which includes host clusters, a virtualization management server, and a network manager coupled to a physical network, each host cluster having hosts and a virtualization layer executing on hardware platforms of the hosts, is described. The method includes receiving, at the virtualization management server, a restore request; executing, at the virtualization management server in response to the restore request, restoration of a coupled backup of the virtualization management server and the network manager, the coupled backup including a backup of a first database of the virtualization management server and a backup of a second database of the network manager, the restoration including: restoring at least one of the first database and the second database from the coupled backup; repairing runtime state of at least one of the host clusters to make the runtime state consistent with the restoration.

Abstract: An example method of data protection in a virtualized computing system, the virtualized computing system including a host cluster, a virtualization management server connected, and a network manager coupled to a physical network, the host cluster having hosts and a virtualization layer executing on hardware platforms of the hosts, is described. The method includes: receiving a backup request; executing, in response to the backup request, a coupled backup of the virtualization management server and the network manager, including: creating a backup of a first database in the virtualization management server, the first database storing first configuration data for a virtual infrastructure (VI) control plane of the host cluster; creating a backup of a second database in the network manager, the second database storing second configuration data for a logical network deployed in the host cluster; and storing the coupled backup in remote storage.

Abstract: Examples described herein include systems and methods for backing up and recovering a software-defined data center (“SDDC”). In one example, entities of the SDDC, such as virtual machines, hosts, and clusters, can coexist with corresponding entity stores. The entity stores can store current state information for each SDDC entity. For example, an identifier or name of a virtual machine can be stored in that virtual machine's corresponding entity store. When recovery of a controller is needed, the controller can rebuild state information that has changed after the controller was backed up, by retrieving state information from entity stores of the various SDDC entities.

Abstract: An example virtualized computing system includes: a host cluster having hosts and a virtualization layer executing on hardware platforms of the hosts, the virtualization layer supporting execution of virtual machines (VMs); an orchestration control plane integrated with the virtualization layer, the orchestration control plane including a master server executing in a first VM of the VMs; guest cluster infrastructure software (GCIS) executing in the master server, the GCIS configured to create a set of objects defining a container orchestration cluster, and manage lifecycles of second VMs of the VMs based on state of the set of objects; and guest software executing in the second VMs to implement the container orchestration cluster as a guest cluster of the host cluster, the guest software having components that interface with the GCIS.

Abstract: Examples described herein include systems and methods for backing up and recovering a software-defined data center (“SDDC”). In one example, entities of the SDDC, such as virtual machines, hosts, and clusters, can coexist with corresponding entity stores. The entity stores can store current state information for each SDDC entity. For example, an identifier or name of a virtual machine can be stored in that virtual machine's corresponding entity store. When recovery of a controller is needed, the controller can rebuild state information that has changed after the controller was backed up, by retrieving state information from entity stores of the various SDDC entities.

Abstract: Examples described herein include systems and methods for backing up and recovering a software-defined data center (“SDDC”). In one example, entities of the SDDC, such as virtual machines, hosts, and clusters, can coexist with corresponding entity stores. The entity stores can store current state information for each SDDC entity. For example, an identifier or name of a virtual machine can be stored in that virtual machine's corresponding entity store. When recovery of a controller is needed, the controller can rebuild state information that has changed after the controller was backed up, by retrieving state information from entity stores of the various SDDC entities.

Abstract: A system and method integrates namespace management and storage management in a storage system environment. According to the invention, an integrated management framework provides an underlying infrastructure that supports various heterogenous storage access protocols within a single, logical namespace service. The logical namespace service is based on extensions to underlying storage management processes that cooperate to create the integrated management framework. Notably, these extensions are embodied as novel library functionality.

Abstract: According to one or more of the provisions set forth herein, data can be managed in a data storage system in an efficient manner. In one example, a first flexible copy volume of data is generated based on a snapshot copy volume of a flexible volume containing the data. The first flexible copy volume is configured to be operated upon according to a first set of operations. A second flexible copy of the data is also generated based on the snapshot copy volume. The second flexible copy volume is configured to be operated upon according to a second set of operations that differs from the first set of operations. Having a second copy of the data allows testing or other operations to be performed on the data while also maintaining an original version of the data.

Abstract: A system and method for implementing storage management with threshold control is provided. A flexible storage manager associates storage devices having a similar performance characteristic into logical constructs called storage groups. Storage groups having the same performance characteristic from a plurality of storage systems are organized into storage pools. The flexible storage manager automatically provisions storage on a storage pool basis. Should a low threshold utilization be exceeded, the flexible storage manager performs a set of management policies to lower the utilization of a storage pool to the low threshold.

Abstract: Centralized management of both host-side storage objects on multiple heterogeneous host-side servers and logical data containers on a storage system is performed by a management server. In one embodiment, the management server automatically provisions a logical data container on the storage server according to the storage virtualization strategy without administrator interaction at the storage system. In another embodiment, the management server automatically performs a snapshot operation on logical data containers on the storage system according to the storage virtualization strategy without administrator interaction at the storage system. In another embodiment, the management server centrally monitors for out-of-space events in the storage system and automatically correlates the out-of-space events in the storage system to out-of-space events for the host-side file systems.

Abstract: A method for executing uniprocessor (UP) coded workloads in a computer capable of concurrent thread execution is disclosed. The method identifies threads in the uniprocessor coded workloads (UP-workloads) which can execute concurrently, and identifies threads in the UP-workloads which cannot execute concurrently. First threads which cannot execute concurrently are assigned to a first concurrency group. Second threads which cannot execute concurrently are assigned to a second concurrency group. Any thread in the first concurrency group can execute concurrently with any thread in the second concurrency group. The computer capable of concurrent thread execution then executes the UP-coded workloads in the first concurrency group at substantially the same time as executing the UP-coded workloads in the second concurrency group.

Abstract: Embodiments of the present invention provide a technique for automatically constructing a replica catalog providing information otherwise unavailable due to a loss of or failure with the registry file for maintaining protection relationship information of primary and secondary storage objects by extracting storage object settings from an encoded attribute of the secondary storage object. An administrator provides protection relationship information for the primary and secondary storage objects at a remote computer system (e.g., protection manager), which may be automatically encoded in an attribute of the secondary storage object and stored in a replica catalog at the protection manager. A secondary storage server constructs the secondary storage object using the encoded attribute and stores data replicated from the primary storage object.