Abstract: A system for adjusting oversubscription loading includes an interface and a processor. The interface is configured to receive a set of performance data from a set of worker systems. The processor is configured to determine a feedback indication for a worker system of the set of worker systems based at least in part on the set of performance data. The feedback indication is used to adjust an oversubscription controller on the worker system. The processor is configured to provide the feedback indication to the worker system.

Abstract: Examples of file analytics systems are described that may obtain metadata data and events data from a virtualized file server. The file analytics systems may detect one or more events from the events data matching a criteria indicating malicious activity. The file analytics systems may validate the detection of malicious activity. The validation may be performed by comparing the file type, such as the MIME type, of sample files before and after the suspected malicious activity. The systems may recover a share of the distributed file server including the one or more affected files by replacing the one or more affected files with stored versions of the one or more affected files from a snapshot of the share taken prior to the detected malicious activity.

Abstract: A system and method include receiving request to create a database group, receiving selection of a database server virtual machine on which to create the database group, receiving selection of at least one database from a list of databases that are not part of another database group to add to the database group, receiving selection of a Service Level Agreement (“SLA”) and a protection schedule, and creating the database group on the database server virtual machine, including associating the database group with the SLA and the protection schedule and adding the at least one database to the database group. Each of the at least one database is protected using the same SLA and the protection schedule that is associated with the database group.

Abstract: Upon receiving a request to hibernate a hypervisor of a virtualization system running on a first computer, acts are carried out to capture a state of the hypervisor, where the state of the hypervisor comprises hypervisor logical resource parameters and an execution state of the hypervisor. After hibernating the hypervisor by quiescing the hypervisor and storing the state of the hypervisor into a data structure, the data structure is moved to a different location. At a later moment in time, the data structure is loaded onto a second computing machine and restored. The restore operation restores the hypervisor and all of its state, including all of the virtual machines of the hypervisor as well as all of the virtual disks and other virtual devices of the virtual machines. Differences between the first computing machine and the second computing machine are reconciled before execution of the hypervisor on the second machine.

Abstract: A technique monitors input/output (I/O) and Persistent Reservation (PR) activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site disaster recovery (DR) environment. Multiple instances of the application execute in different virtual machines (VMs) of a compute layer within a guest clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the multiple VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I/O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I/O requests to the shared storage. The compute owner and active storage site may not be co-located on the same site, leading to excessive I/O and PR activity patterns indicative of degraded performance.

Abstract: An example file server manager updates a selected share of a destination distributed file server based on a snapshot of at least a portion of a selected share of a source distributed file server. The selected share of the destination distributed file server is updated while the source distributed file server serves client requests for storage items of the selected share of the source distributed file server. The file server manager receives a request to failover from the source distributed file server to the destination distributed file server and configures the destination distributed file server to service read and write requests for storage items of the selected share of the destination distributed file server. The file server manager further redirects client requests for storage items of the selected share of the source distributed file server to the destination distributed file server by updating active directory information.

Abstract: Examples of systems are described herein which may dynamically allocate compute resources to recovery clusters. Accordingly, a recovery site may utilize fewer compute resources in maintaining recovery clusters for multiple associate clusters, while ensuring that, during use, compute resources are allocated to a particular cluster. This may reduce and/or avoid vulnerabilities arising from a use of shared resources in a virtualized and/or cloud environment.

Abstract: A multi-cluster database management system includes a first cluster in a database management system of a virtual computing system, a second cluster in the database management system, a server on the first cluster, a first agent on the first cluster, and a second agent on the second cluster. The server provides a database management service to a first database stored on the first cluster via the first agent and to a second database stored on the second cluster via the second agent.

Abstract: A system and method include receiving, by a database engine of a database system associated with a virtual computing system, a user request via a dashboard for provisioning a source database with the database system, receiving, by the database engine via the dashboard, selection of a database engine type, and receiving, by the database engine via the dashboard, selection of a Service Level Agreement (“SLA”) and a protection schedule. The system and method also include provisioning, by the database engine, the source database based upon the database engine type, creating, by the database engine, an instance of a database protection system based upon the SLA and the protection schedule, including associating the instance of the database protection system with the source database, and displaying, by the database engine, the source database within the dashboard.

Abstract: An example Internet of Things (IoT) sensor application hosted on a mobile device is configured to add the mobile device as a data sensor or source in the IT system. The IoT sensor application is configured to provide an interface between an input or output component of the mobile device and a data pipeline or application and/or to cloud data storage associated with an IoT system. The IoT sensor application is configured to connect to an edge device of the IoT system and search for a data source identifier associated with the type of data source component, and corresponding application(s) and/or data pipeline(s) to which the data source is connected. Once connected, the IoT sensor application provides captured data to or receives processed or playback data from the data source.

Abstract: Examples described herein are generally directed towards file server access controls, and more specifically towards a mechanism to create consistent access control lists for local users across different file servers in a distributed file server environment. In operation, a local user system SID (e.g., external SID) may be generated for a first user of a first file server. A global ID based on attributes associated with the user of the first file server may also be generated. The global ID for the user may be stored in metadata associated with an access control list (ACL) for a file accessible through the first file server. Data, including the file may be migrated to a second file server. Based on receiving an access request at the second file server associated with the user based on the external ID, the external ID for the user may be translated into the global ID, and used to determine access to the file.

Abstract: A platform-as-a-service (PaaS) manager abstracts deployment of PaaS software stacks to different computing platforms such that the PaaS software stacks provide a common platform to host an application despite differences in the underlying architectures of the computing platforms. Each PaaS software stack is hosted on a service domain installed on a respective one of the computing platforms, and includes an operating system and provides access to a set of services for execution of applications. The some examples, the different computing platforms include multiple different cloud architectures.

Abstract: A system and method includes a plurality of nodes distributed between a first cluster and a second cluster, each of the plurality of nodes storing a copy of a source database and a processor executing computer-readable instructions stored on a memory to designate a first node of the plurality of nodes as a primary node, designate remaining ones of the plurality of nodes as secondary nodes to take over from the primary node upon failure of the primary node, designate a second node of the plurality of nodes as an initial active node, backup the source database from the initial active node, automatically designate, based on a switch over policy, a third node of the plurality of nodes as a next active node upon the initial active node becoming unavailable, and continue backups of the source database from the next active node upon the initial active node becoming unavailable.

Abstract: In one embodiment, a system for managing a virtualization environment includes a set of host machines, each of which includes a hypervisor, virtual machines, and a virtual machine controller, one or more virtual disks comprising a plurality of storage devices, the one or more virtual disks being accessible by the virtual machine controllers, where the virtual machine controllers conduct I/O transactions with the virtual disks, and a deployment system configured to receive a request to deploy a virtualized file server on a plurality of host machines, where the request is associated with deployment parameters, select a deployment image for the host machines based on the deployment parameters, and provide the deployment image to each host machine via the virtual disk. The virtual machine controller located on the host machine stores at least a portion of the deployment image on a storage device associated with the host machine.

Abstract: A dynamically-managed microservices platform. The microservices platform is configured to selectively accept admission of microservices and to selectively throttle microservices based on a continually-trained machine learning model. The system is configured to implement multiple microservice lifecycle strategies, where individual ones of the multiple microservice lifecycle strategies use a prediction model having long-term and short term demand predictions. One or another of the multiple microservice lifecycle strategies are invoked at different times under different conditions. Under a first set of conditions, a prediction model is used to select a first strategy to admit or throttle a microservice based upon long-term or short-term demand predictions. Under a second set of conditions, the prediction model is used to select a different strategy to admit or throttle a microservice.

Abstract: In some aspects, a non-transitory computer readable storage medium includes instructions stored thereon that, when executed by a processor, cause the processor to detect that system software is proceeding to swap memory content of a virtual machine (VM) from memory to storage, wherein the memory is allocated to the VM; buffer the memory content; and perform alternative memory reclamation of the memory.

Abstract: A system and method include creating, by an Availability Group (“AG”) controller in a virtual computing system, a first AG clone from a source database. The source database is stored on a primary replica node of an AG of the virtual computing system. The system and method also include creating, by the Controller, a second AG clone from the first AG clone and storing, by the Controller, the second AG clone on a secondary replica node of the AG.

Abstract: A technique utilizes grafting and differential based (diff-based) data seeding to hydrate a special virtual disk (vdisk) on a multi-node cluster with data changes (differences) between a reference vdisk stored on the cluster and a snapshot stored in an external repository to enable failover (including failback) recovery of an application workload in a disaster recovery environment. The application workload is stored as a workload vdisk on local storage of the cluster and snapshots of the workload vdisk are generated and organized as a vdisk chain on the cluster. One or more snapshots of the vdisk chain may be replicated to the external repository using a long-term snapshot service. Each replicated snapshot may be backed up from the cluster to the external repository at the granularity of a vdisk, referred to herein as an external datasource disk. The special vdisk is a thinly provisioned, datasource-backed vdisk that is grafted onto the vdisk chain, e.g., as a child vdisk of the reference vdisk.

Abstract: In one embodiment, a system for managing a virtualization environment includes host machines implementing a virtualization environment, a plurality of clusters of the host machines, a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), and a VFS cluster manager (CM) configured to distribute storage items among the clusters and receive cluster storage statistics for one or more shares of the VFS. The CM is further configured to, in response to a request from a first FSVM to identify a storage location for a storage item, identify a cluster at which the storage item is to be located based on the cluster storage statistics, identify a second FSVM at which the storage item is to be located based on compute usage statistics of one or more FSVMs in the identified cluster, and send an address of the second FSVM to the first FSVM.

Abstract: This disclosure relates to scope-based lock management for shared resources of a distributed computing system. A scope-based lock manager may grant a request for a lock of a shared resource of the distributed computing system, where the lock request includes a scope of the lock and a target having the scope. The target may define entities able to access the shared resource when locked. The scope and target of the lock are stored at a lock database including scopes and targets associated with additional locks of additional shared resources of the distributed computing system. The scope based lock manager may determine when a computing node of the distributed computing system has failed and remove the lock from the lock database responsive to a determination that the target of the lock is hosted on the computing node.