A streamlined approach analyzes block-level backups of VM virtual disks and creates both coarse and fine indexes of backed up VM data files in the block-level backups. The indexes (collectively the “content index”) enable granular searching by filename, by file attributes (metadata), and/or by file contents, and further enable granular live browsing of backed up VM files. Thus, by using the illustrative data storage management system, ordinary block-level backups of virtual disks are “opened to view” through indexing. Any block-level copies can be indexed according to the illustrative embodiments, including file system block-level copies. The indexing occurs offline in an illustrative data storage management system, after VM virtual disks are backed up into block-level backup copies, and therefore the indexing does not cut into the source VM's performance. The disclosed approach is widely applicable to VMs executing in cloud computing environments and/or in non-cloud data centers. The illustrative content indexing is accomplished without restoring the VM data files being indexed to a staging location.

An illustrative report server interoperates with one or more enhanced storage managers to evaluate whether backup operations and restore operations meet their recovery point objectives (RPO) and recovery time objectives (RTO), respectively. RTO is evaluated using a tiered approach based on past performance of restore and/or backup operations. The illustrative storage manager executes pre-defined queries that extract relevant information from an associated database that houses information about storage operations. The report server recommends alternative kinds of backup operations for data that fails to meet its RTO using traditional backups. The report server is configured to analyze and report RPO and RTO readiness for several levels of data entities, including multiple systems, single system, groups of clients, single clients, and subclients.

Virtualization software installed in a standalone host is remediated according to a desired state model using a desired image of a virtualization software that is used to remediate virtualization software running in hosts which are logically grouped as a cluster of hosts not including the standalone host. The method of remediating the virtualization software installed in the standalone host includes the steps of generating a desired image of the virtualization software of the standalone host from a desired image of the virtualization software of the hosts in the cluster, and upon detecting a difference between an image of the virtualization software currently running in the standalone host and the desired image of the virtualization software of the standalone host, instructing the standalone host to remediate the image of the virtualization software currently running therein to match the desired image of the virtualization software of the standalone host.

Methods, systems, apparatuses, and computer program products are described. A system, such as a multi-tenant database system, may store tenant-specific observability data for multiple tenants of the system. The system may detect an inefficiency related to a performance metric for a tenant of the multiple tenants based on a subset of the data associated with the tenant and corresponding to a threshold time window. In some examples, the system may analyze the subset of the data for the threshold time window to determine an insight indicating a cause of the inefficiency. The system may determine a suggested action for the tenant based on the insight indicating the cause of the inefficiency, and the system may send, for display at a user interface of a user device, an indication of the insight and the suggested action, the user device operated by a user associated with the tenant.

Techniques are provided for incrementally restoring a virtual machine hosted by a computing environment. In response to receiving an indication that the virtual machine is to be incrementally restored, a snapshot of the virtual machine may be created while the virtual machine is shut down into an off state. The snapshot is transmitted to a storage environment as a common snapshot. The snapshot and the common snapshot are common snapshots comprising a same representation of the virtual machine. The common snapshot and a prior snapshot of the virtual machine are evaluated to identify a data difference of the virtual machine between the common snapshot and the prior snapshot. An incremental restore is performed of the virtual machine by transmitting the data difference from the storage environment to the computing environment to restore the virtual machine to a state represented by the prior snapshot.

Techniques are provided for caching data during an on-demand restore using a cloud block map. A client may be provided with access to an on-demand volume during a restore process that copies backup data from a snapshot within a remote object store to the on-demand volume stored within local storage. In response to receiving a request from the client for a block of the backup data not yet restored from the snapshot to the on-demand volume, the block may be retrieved from the snapshot in the remote object store. The block may be cached within a cloud block map stored within the local storage as a cached block. The client may be provided with access to the cached block.

The disclosed approach works without the individualized credentials of failed machines when setting up recovery VMs in a cloud computing environment. Each recovery VMs is customized to properly correspond to the system state of its failed counterpart. An illustrative data storage management system recovers backup data and system states collected from the counterpart computing devices, custom-configures recovery VMs in the cloud computing environment, and injects the desired drivers into each recovery VM during an enhanced bare-metal restore process. The enhanced bare-metal restore process works without the failed computer's credentials. The system also restores the backed up data to recovery volumes attached to the recovery VMs. The present approach is both scalable and secure. When the enhanced bare-metal restore process completes, each cloud-based recovery VM presents a user interface that, for the first time after the computing device has failed, asks for the individualized credentials of the failed machine.

Techniques are provided for a high availability solution (e.g., a network attached storage (NAS) solution) with address preservation during switchover. A first virtual machine is deployed into a first domain and a second virtual machine is deployed into a second domain of a computing environment. The first and second virtual machines are configured as a node pair for providing clients with access to data stored within an aggregate comprising one or more storage structures within shared storage of the computing environment. A load balancer is utilized to manage logical interfaces used by clients to access the virtual machines. During switchover, the load balancer preserves an IP address used to mount and access a data share of the aggregate used by a client.

Embodiments for providing global inline name space verification for a distributed file system in a network of a metadata server coupled to a plurality of data servers by taking a global dataless snapshot of a namespace of the distributed file system; walking all of the files in the namespace for each data server and the metadata server to generate parsed information; combining, by an XOR operation, the parsed information into data blocks for each server; obtaining a checksum of each data block of the data blocks; comparing actual and expected checksums from the metadata server and all of the data servers; and generating an alert if a comparison of any actual and expected checksums do not match.

In a communication processing apparatus used in a production control system, a real-time communication unit detects a diagnostic index related to communication processing and provides a notification of the possibility of unstable operation to a resource adjustment judging unit when the value of the diagnostic index exceeds a predetermined threshold. The resource adjustment judging unit judges whether a virtual processor is free when the notification is received from the real-time communication unit, instructs a virtualization unit to add the virtual processor to the virtual machine that has the possibility of unstable operation when the virtual processor is free, and instructs the virtualization unit to add a virtual processor allocated to a virtual machine with low operation priority to the virtual machine that has the possibility of unstable operation when no virtual processor is free.