Abstract: A method and system for leveraging file-system metadata for direct to cloud object storage optimization. Under cloud object storage architecture, any unstructured data may be managed and stored in the cloud as objects. Objects thus provide an elastic, scalable format through which unstructured data may be maintained for a variety of purposes, including those directed to data backup, archiving, and/or disaster recovery. Cloud object storage, however, tends to be costly—mainly stemming from factors, such as the frequency of read and write operations (also referred to as runtime costs) applied to, as well as the allocation of disk space (also referred to as storage costs) consumed by, any number of objects configured to store file backup copies. In addressing at least the aforementioned, embodiments disclosed herein optimize cloud object storage utilization through the intelligent grouping and object storing of data based on file attribute similarities.

Abstract: A method for managing data includes obtaining, by a file system metadata manager, a data access request for a file system, wherein the data access request is obtained from an analytics engine, in response to the data access request: obtaining a metadata backup, wherein the metadata backup is associated with the file system, extracting file system metadata from the metadata backup, generating, using the file system metadata, a virtual file system associated with the file system, and providing the virtual file system to the analytics engine, wherein the analytics engine performs an analysis on the file system using the virtual file system.

Abstract: A method for managing data includes obtaining, by an analytics engine and from an application, a file system analysis request for analyzing a file system, wherein the analytics engine is operating on a second environment that is external to a client environment, wherein the file system comprises an organization of file system data, wherein the file system data is generated by the application, in response to the file system analysis request: obtaining a metadata backup, wherein the metadata backup is associated with the file system, applying a machine learning model on the metadata backup to extract a portion of attributes, performing a metadata analysis using the portion of attributes to obtain a processed result, and providing the processed result to the application.

Abstract: A method for managing a full backup includes: generating a BBB of a file system, in which the BBB is a full backup of the file system and is generated using a snapshot of the file system; obtaining, using a MBB mechanism, modified file system metadata from the snapshot; obtaining second modified file system metadata from a second snapshot of the file system, in which the snapshot is generated at a first point in time and the second snapshot is generated at a second point in time; comparing the modified file system metadata and the second modified file system metadata to obtain a list of changed assets; initiating an incremental backup of the list of changed assets, in which the list of changed assets is backed up using a FBB mechanism; and generating a synthetic full backup by combining the full backup and the incremental backup.

Abstract: In general, embodiments relates to a method for managing a technical support session, comprising: obtaining customer identification information for a technical support session, extracting at least one keyword for the technical support session, identifying a plurality of historical technical support sessions using the at least one keyword and the customer identification information, and displaying at least one of the plurality of historical technical support sessions to a technical support person (TSP) during the technical support session.

Abstract: A method for managing a client environment includes obtaining, by an issue analyzing engine, a notification for an issue based on an application upgrade on a client device of the client environment, in response to the notification: applying an issue analyzing model to device configuration information associated with a client device to obtain a solution set, providing the solution set to client environment, obtaining a result from the client environment associated with the issue and the solution set, and updating the issue analyzing model based on the result to obtain an updated issue analyzing model.

Abstract: A method and system for enabling incremental backup operations targeting bare-metal recovery and system-state recovery data and metadata. These aforementioned forms of recovery focus on the protection of computing system state, including operating system binaries and configuration, as well as the data, metadata, and/or configuration of software application(s) installed on said computing system(s). Further, the data and/or metadata reflected in said computing system state often remains unchanged unless operating system and/or software application component(s) or feature(s) is/are uninstalled, installed, and/or upgraded. Existing solutions protecting said data and/or metadata tend to only support full backup operations, which are time and storage space inefficient. Ideally, incremental backup operations targeting said data and/or metadata should be provided.

Abstract: A synthetic full backup of a source volume representing a state of the volume at a current time is retrieved, the synthetic full having been generated by merging a full backup of the volume performed at an initial time with an incremental backup of the volume performed at the current time, after the initial time. A bitmap tracking changes to the volume made between the initial and current times is accessed. The bitmap is used to identify a location on the volume having changes made between the initial and current times. First data written to the location on the volume is read. Second data written to the same location on the synthetic full backup is read. First and second checksums are generated based on the first and second data, respectively. The checksums are compared and if any do not match, an indication is generated that the synthetic full is corrupt.

Abstract: Network configuration details associated with a host are collected with each bare metal recovery (BMR) backup of the host. The network configuration details are stored in backup storage with each BMR backup copy. A target host is booted into a preinstallation environment. The target host is configured into a DHCP mode to allow the target host to establish a network connection to a backup management server. Details about the host are received from a user. A listing of BMR backup copies corresponding to the host details are retrieved from the backup management server. A selection of a BMR backup copy to be restored onto the target host is received. Network configuration details corresponding to the selected BMR backup copy are downloaded from backup storage. A recovery wizard at the target host is populated with the network configuration details.

Abstract: Embodiments of the invention relate to methods and systems for efficiently sharing assets such as files and folders between a host computer system and a client computer system while minimizing the amount of work the client must perform to efficiently transfer an asset. In one or more embodiments, assets such as files and folders that are to be shared or transferred are placed in appropriate network slice queues by the hosts rather than the clients. These network slice queues allow the files and folders to be placed in slices without utilizing the resources of the clients as well as much of the available network resources. This ensures efficient use of network resources, while minimizing the amount of work the hosts and/or clients must perform in order to perform a backup.

Abstract: A method for managing file based backups (FBBs) includes obtaining, by a FBB metadata file manager and by an application, a file request for a file stored in a FBB, wherein the FBB is stored in a backup storage system, identifying, using a FBB metadata file of the FBB, a storage location of the file, initiating generation of a temporary storage device, storing a copy of the file in the temporary storage device using the storage location and the FBB, and initiating, after the storing, access to the copy of the file for the application.

Abstract: A method for managing a client environment includes obtaining, by a client device upgrade manager, an upgrade estimation for a client device executing in the client environment, wherein the upgrade estimation corresponds to an application upgrade for an application, in response to the upgrade estimation: performing an optimal time slot analysis for the client device to identify a set of optimal time slots, presenting the set of optimal time slots to the client device, obtaining, by the client device, a requested time slot for the application, and in response to the requested time slot, initiating an installation of an application upgrade of the application.

Abstract: A method for performing a data backup process on a cluster includes: obtaining a backup generation request for virtual machines; in response to obtaining the backup generation request: generating a first set of backup groupings based on the backup generation request where each of the first set of backup groupings includes at least one of the virtual machines; issuing a disable migration command to a plurality of production hosts where each of the plurality of production hosts is associated with at least one of the virtual machines; identifying, after the issuing, a virtual machine of the virtual machines that is migrating; removing, based on the identifying, the virtual machine from the first set of backup groupings to obtain a second set of backup groupings where the virtual machine is placed in an excluded group after the removing; and backing up the second set of backup groupings.

Abstract: In general, embodiments relate to a method for managing a technical support session, comprising in response to satisfying a duplicate technical support question threshold for a technical support session: extracting at least one keyword for the technical support session, identifying a plurality of historical technical support sessions using the at least one keyword, and displaying at least one of the plurality of historical technical support sessions to a technical support person (TSP) during the technical support session.

Abstract: A method for managing upgrades of components of clients includes obtaining an upgrade failure prediction request associated with a client of the clients, and in response to obtaining an update failure prediction request: obtaining live data associated with the client, matching the live data with a training data cluster, selecting relevant features associated with processed training data of the training data cluster, generating an upgrade failure prediction using the live data associated with the relevant features and a prediction model, making a determination that the upgrade failure prediction implicates an action is required, and based on the determination, initiating performance of the action.

Abstract: In general, in one aspect, the invention relates to a method for enabling enhanced logging. The method includes obtaining a log associated with a job; determining, using the log, that enhanced logging is to be enabled prior to initiating the job; enabling, in response to the determination, enhanced logging on at least one node, and initiating servicing of the job, after the enabling, on the at least one node.

Abstract: A method for managing file based backups (FBBs) includes obtaining, by a backup agent, a FBB generation request for a file system at a point in time, in response to the FBB generation request: identifying a target backup storage system in which to store the FBB, identifying a target exposed application programming interface (API) associated with the target backup storage system, generating a FBB corresponding to the FBB generation request, wherein the FBB comprises a FBB metadata file, wherein the FBB is in a common data streaming format (CDSF), generating an API command based on the FBB and the target exposed API, and initiating storage of the FBB in the target backup storage system using the API command.

Abstract: Techniques described herein relate to a method for managing data protection services for data clusters.

Abstract: A changed block tracking (CBT) driver at a production host tracks, in a bitmap, changes made to a source volume of the production host since a last backup. A command is received to perform a differential backup of the source volume. A request is issued to a copy service to take a snapshot of the source volume. The bitmap is embedded into the snapshot. The snapshot is mounted on a backup proxy, different from the production host. The backup proxy retrieves the bitmap from the snapshot and conducts the differential backup of the source volume to secondary storage, thereby backing up the changes made to the source volume since the last backup according to the bitmap.

Abstract: A synthetic full backup of a source volume is retrieved, the synthetic full having been created from merging a backup chain including an incremental backup into a full backup. The full backup corresponds to a state of the source volume at a first time. The synthetic full corresponds to a state of the source volume at a second time, after the first time. A bitmap embedded into a snapshot of the source volume taken at the second time is retrieved. The bitmap identifies data from the source volume copied to secondary storage for the incremental backup. The backup chain is regenerated by copying from the snapshot the data identified by the bitmap to a regenerated incremental backup.