Abstract: A plurality of different virtualization system images are configured for deployment to a plurality of nodes in heterogeneous environments. Individual ones of the virtualization system images are configured such that once deployed, the nodes form a computer cluster having a storage pool that is shared across the nodes. When configuring the virtualization system images, information that describes the heterogeneous computing environments is accessed, and constraints pertaining the heterogeneous computing environments are reconciled in advance of configuring the different virtualization system images. A common subnet across the heterogeneous environments is established. The plurality of different virtualization system images are configured to access the common subnet once deployed. The common subnet serves as a storage I/O communication path over which a cluster-wide storage pool is implemented.

Abstract: A cluster configuration request to form a hyperconverged computing infrastructure (HCI) cluster in a cloud computing environment is processed. Based on the cluster configuration request and any other cluster specifications, a plurality of bare metal computing nodes of the cloud computing environment are configured to operate as an HCI cluster. First, a tenant-specific secure network overlay is formed on a first set of tenant-specific networking hardware resources. Then, the tenant-specific secure network overlay is used by an orchestrator to provision a second set of tenant-specific networking hardware resources. The second set of tenant-specific networking hardware resources are configured to interconnect node-local storage devices into a shared storage pool having a contiguous address space. Top-of-rack switches are configured to form a network overlay on the first set of tenant-specific networking hardware resources.

Abstract: A plurality of different virtualization system images are configured for deployment to a plurality of nodes in heterogeneous environments. Individual ones of the virtualization system images are configured such that once deployed, the nodes form a computer cluster having a storage pool that is shared across the nodes. When configuring the virtualization system images, information that describes the heterogeneous computing environments is accessed, and constraints pertaining the heterogeneous computing environments are reconciled in advance of configuring the different virtualization system images. A common subnet across the heterogeneous environments is established. The plurality of different virtualization system images are configured to access the common subnet once deployed. The common subnet serves as a storage I/O communication path over which a cluster-wide storage pool is implemented.

Abstract: A cluster configuration request to form a hyperconverged computing infrastructure (HCI) cluster in a cloud computing environment is processed. Based on the cluster configuration request and any other cluster specifications, a plurality of bare metal computing nodes of the cloud computing environment are configured to operate as an HCI cluster. First, a tenant-specific secure network overlay is formed on a first set of tenant-specific networking hardware resources. Then, the tenant-specific secure network overlay is used by an orchestrator to provision a second set of tenant-specific networking hardware resources. The second set of tenant-specific networking hardware resources are configured to interconnect node-local storage devices into a shared storage pool having a contiguous address space. Top-of-rack switches are configured to form a network overlay on the first set of tenant-specific networking hardware resources.

Abstract: Examples of services described herein expose an application programming interface (API) which may return the run-time configuration information. In this manner, software external to the service (e.g., an orchestrator) may query the service to determine the run-time configuration information, then provide both the initial configuration information known to the external software and the run-time configuration information to an Internet-facing gateway. Examples described herein may accordingly avoid or reduce instances of an upgrade dependency. When the service is upgraded, the run-time configuration information may be obtained by calling the API without a need to also upgrade the software external to the service.

Abstract: A plurality of different virtualization system images are configured for deployment to a plurality of nodes in heterogeneous environments. Individual ones of the virtualization system images are configured such that once deployed, the nodes form a computer cluster having a storage pool that is shared across the nodes. When configuring the virtualization system images, information that describes the heterogeneous computing environments is accessed, and constraints pertaining the heterogeneous computing environments are reconciled in advance of configuring the different virtualization system images. A common subnet across the heterogeneous environments is established. The plurality of different virtualization system images are configured to access the common subnet once deployed. The common subnet serves as a storage I/O communication path over which a cluster-wide storage pool is implemented.

Abstract: A cluster configuration request to form a hyperconverged computing infrastructure (HCI) cluster in a cloud computing environment is processed. Based on the cluster configuration request and any other cluster specifications, a plurality of bare metal computing nodes of the cloud computing environment are configured to operate as an HCI cluster. First, a tenant-specific secure network overlay is formed on a first set of tenant-specific networking hardware resources. Then, the tenant-specific secure network overlay is used by an orchestrator to provision a second set of tenant-specific networking hardware resources. The second set of tenant-specific networking hardware resources are configured to interconnect node-local storage devices into a shared storage pool having a contiguous address space. Top-of-rack switches are configured to form a network overlay on the first set of tenant-specific networking hardware resources.

Abstract: A method and apparatus for using cache size estimations for guiding hot-tier insertion decisions. The method and apparatus include an adaptive management element that determines what accesses of a resource should be logged and the parameters for logging. The determinations are used to configure an adaptive logging element to log only accesses corresponding to the selected resource(s) and to log only those accesses that match the identified parameters. The adaptive management element operates in a feedback loop: first determining what will be logged and second implementing that determination by an adaptive logging element. Upon a triggering event, the process returns to the first determination based on any then current parameters. In some embodiments, the parameters include a size estimate to achieve a given target hit rate (target hit rate size estimate) that is used in generating a score or weighting to identify the highest/best scoring/weighted disk(s) for logging.

Abstract: Examples of services described herein expose an application programming interface (API) which may return the run-time configuration information. In this manner, software external to the service (e.g., an orchestrator) may query the service to determine the run-time configuration information, then provide both the initial configuration information known to the external software and the run-time configuration information to an Internet-facing gateway. Examples described herein may accordingly avoid or reduce instances of an upgrade dependency. When the service is upgraded, the run-time configuration information may be obtained by calling the API without a need to also upgrade the software external to the service.

Abstract: Systems and methods for issuing continuous trim commands for a memory system, including periodically sending trim commands to an electronically erasable memory device. Each of the trim commands identifies unused blocks of a portion of a total storage capacity of the electronically erasable memory device to erase.

Abstract: Examples described herein may include migration of services of infrastructure management virtual machines to a container. An example method includes creating an infrastructure management virtual machine configured to manage and monitor a cluster of nodes of a computing system. The infrastructure management virtual machine including a plurality of services and an associated virtual disk storing data associated with running the plurality of services. The example method further includes extracting a service of the plurality of services running on the infrastructure management virtual machine, and creating a container on a controller virtual machine running on a node of a computing system. The container includes the extracted service. The example method further includes retrieving data associated with the extracted service from the virtual disk, and after retrieved the data, starting the extracted service in the container.

Abstract: A method and apparatus for using cache size estimations for guiding hot-tier insertion decisions. The method and apparatus include an adaptive management element that determines what accesses of a resource should be logged and the parameters for logging. The determinations are used to configure an adaptive logging element to log only accesses corresponding to the selected resource(s) and to log only those accesses that match the identified parameters. The adaptive management element operates in a feedback loop: first determining what will be logged and second implementing that determination by an adaptive logging element. Upon a triggering event, the process returns to the first determination based on any then current parameters. In some embodiments, the parameters include a size estimate to achieve a given target hit rate (target hit rate size estimate) that is used in generating a score or weighting to identify the highest/best scoring/weighted disk(s) for logging.

Abstract: Exemplary methods, apparatuses, and systems include a first input/output (I/O) filter receiving, from a first filter module within a virtualization stack of a host computer, an input/output (I/O) request originated by a virtual machine and directed to a first virtual disk. The first I/O filter determines to redirect the I/O request to a second virtual disk and, in response, forwards the I/O request to a second I/O filter associated with the second virtual disk. The first I/O filter is a part of a first instance of a filter framework within the host computer and the second I/O filter is part of a second, separate instance of the filter framework.

Abstract: A dynamic content disk for a virtual computing instance is created as a thinly-provisioned virtual disk having a file system that is synthesized in accordance with a set of applications that are provisioned for a virtual machine (VM). To limit the allocated size of the dynamic content disk, a filter is attached to the dynamic content disk to intercept input-output operations (IOs) directed to the dynamic content disk and convert them to IOs directed to an application virtual disk that stores the actual files of the applications that are provisioned for the VM. The application virtual disk may be stored on different back-ends, such as storage area network (SAN), network file system, virtual SAN, cloud storage, or local storage.

Abstract: Exemplary methods, apparatuses, and systems include a first input/output (I/O) filter receiving, from a first filter module within a virtualization stack of a host computer, an input/output (I/O) request originated by a virtual machine and directed to a first virtual disk. The first I/O filter determines to redirect the I/O request to a second virtual disk and, in response, forwards the I/O request to a second I/O filter associated with the second virtual disk. The first I/O filter is a part of a first instance of a filter framework within the host computer and the second I/O filter is part of a second, separate instance of the filter framework.

Abstract: A dynamic content disk for a virtual computing instance is created as a thinly-provisioned virtual disk having a file system that is synthesized in accordance with a set of applications that are provisioned for a virtual machine (VM). To limit the allocated size of the dynamic content disk, a filter is attached to the dynamic content disk to intercept input-output operations (IOs) directed to the dynamic content disk and convert them to IOs directed to an application virtual disk that stores the actual files of the applications that are provisioned for the VM. The application virtual disk may be stored on different back-ends, such as storage area network (SAN), network file system, virtual SAN, cloud storage, or local storage.