Abstract: Systems and methods can implement one or more intelligent caching algorithms that reduce wear on the SSD and/or to improve caching performance. Such algorithms can improve storage utilization and I/O efficiency by taking into account the write-wearing limitations of the SSD. Accordingly, the systems and methods can cache to the SSD while avoiding writing too frequently to the SSD to increase or attempt to increase the lifespan of the SSD. The systems and methods may, for instance, write data to the SSD once that data has been read from the hard disk or memory multiple times to avoid or attempt to avoid writing data that has been read only once. The systems and methods may also write large chunks of data to the SSD at once instead of a single unit of data at a time. Further, the systems and methods can write to the SSD in a circular fashion.

Abstract: The disclosed systems and methods enable an application to start operating and servicing users soon after and during the course of its backup data being restored, no matter how long the restore may take. This is referred to as “instant application recovery” in view of the fact that the application may be put back in service soon after the restore operation begins. Any primary data generated by the application during “instant application recovery” is not only retained, but is efficiently updated into restored data. An enhanced data agent and an associated pseudo-storage-device driver, which execute on the same client computing device as the application, enable the application to operate substantially concurrently with a full restore of backed up data.

Abstract: A method and system for communicating with IoT devices to gather information related to device failure or error(s) is disclosed. The system receives log files from an IoT device (e.g., a smart refrigerator) that recently failed. The system determines which log files the IoT device created before and/or after a failure. After gathering this information, the system stores the information in a database, sends it to the IoT device manufacturer, or sends it to a cloud provider. The system can also send the failure-related information to the IoT device-related entities (e.g., IoT device manufacturers), and the entity uses this information to troubleshoot the failure and send a fix or software update to the IoT device.

Abstract: A data storage system includes a generic snapshot interface, allowing for integration with a wide variety of snapshot-capable storage devices. The generic interface can be a programming interface (e.g., an application programming interface [API]). Using the snapshot interface, storage device vendors can integrate their particular snapshot technology with the data storage system. For instance, the data storage system can access a shared library of functions (e.g., a dynamically linked library [DLL]) provided by the vendor (or another by appropriate entity) and that complies with the specifications of the common programming interface. And by invoking the appropriate functions in the library, the data storage system implements the snapshot operation on the storage device.

Abstract: A system according to certain aspects improves the process of performing snapshot replication operations (e.g., maintaining a mirror copy of primary data at a secondary location by generating snapshots of the primary data). The system can collect and maintain cumulative block-level changes to the primary data after each sub-interval of a plurality of sub-intervals between the snapshots. When a snapshot is generated, any changes to the primary data not reflected in the cumulative block-level changes are identified based on the snapshot and transmitted to the secondary location along with the cumulative block-level changes. By the time the snapshot is generated, some or all of the changes to the primary data associated with the given snapshot have already been included in the cumulative block-level changes, thereby reducing the time and computing resources spent to identify and collect the changes for transmission to the secondary location.

Abstract: According to certain aspects, a method of creating customized bootable images for client computing devices in an information management system can include: creating a backup copy of each of a plurality of client computing devices, including a first client computing device; subsequent to receiving a request to restore the first client computing device to the state at a first time, creating a customized bootable image that is configured to directly restore the first client computing device to the state at the first time, wherein the customized bootable image includes system state specific to the first client computing device at the first time and one or more drivers associated with hardware existing at time of restore on a computing device to be rebooted; and rebooting the computing device to the state of the first client computing device at the first time from the customized bootable image.

Abstract: An illustrative pseudo-file-system driver uses deduplication functionality and resources in a storage management system to provide an application and/or a virtual machine with access to a locally-stored file system. From the perspective of the application/virtual machine, the file system appears to be of virtually unlimited capacity. The pseudo-file-system driver instantiates the file system in primary storage, e.g., configured on a local disk. The application/virtual machine requires no configured settings or limits for the file system's storage capacity, and may thus treat the file system as “infinite.” The pseudo-file-system driver intercepts write requests and may use the deduplication infrastructure in the storage management system to offload excess data from local primary storage to deduplicated secondary storage, based on a deduplication database.

Abstract: Container images may be generated from a backup system that includes a backup of one or more applications from a computing system of an entity. During a backup process, an application can be identified and its storage location in a secondary storage can be tracked or saved in a backup index. Configuration information and data or files created by user interaction with the application can be backed up and the location of the backed up data or files may be stored in the backup index along with the location of the configuration information. Using the backup index, a container image can be created that includes a selected application, its configuration information, and data, if any, created by the application. The container image can be generated from the backup stored in the secondary storage.

Abstract: A method and system for communicating with IoT devices to gather information related to device failure or error(s) is disclosed. The system receives log files from an IoT device (e.g., a smart refrigerator) that recently failed. The system determines which log files the IoT device created before and/or after a failure. After gathering this information, the system stores the information in a database, sends it to the IoT device manufacturer, or sends it to a cloud provider. The system can also send the failure-related information to the IoT device-related entities (e.g., IoT device manufacturers), and the entity uses this information to troubleshoot the failure and send a fix or software update to the IoT device.

Abstract: Recovery points can be used for replicating a virtual machine and reverting the virtual machine to a different state. A filter driver can monitor and capture input/output commands between a virtual machine and a virtual machine disk. The captured input/output commands can be used to create a recovery point. The recovery point can be associated with a bitmap that may be used to identify data blocks that have been modified between two versions of the virtual machine. Using this bitmap, a virtual machine may be reverted or restored to a different state by replacing modified data blocks and without replacing the entire virtual machine disk.

Abstract: A system according to certain aspects improves the process of performing snapshot replication operations (e.g., maintaining a mirror copy of primary data at a secondary location by generating snapshots of the primary data). The system can collect and maintain cumulative block-level changes to the primary data after each sub-interval of a plurality of sub-intervals between the snapshots. When a snapshot is generated, any changes to the primary data not reflected in the cumulative block-level changes are identified based on the snapshot and transmitted to the secondary location along with the cumulative block-level changes. By the time the snapshot is generated, some or all of the changes to the primary data associated with the given snapshot have already been included in the cumulative block-level changes, thereby reducing the time and computing resources spent to identify and collect the changes for transmission to the secondary location.

Abstract: An illustrative pseudo-file-system driver uses deduplication functionality and resources in a storage management system to provide an application and/or a virtual machine with access to a locally-stored file system. From the perspective of the application/virtual machine, the file system appears to be of virtually unlimited capacity. The pseudo-file-system driver instantiates the file system in primary storage, e.g., configured on a local disk. The application/virtual machine requires no configured settings or limits for the file system's storage capacity, and may thus treat the file system as “infinite.” The pseudo-file-system driver intercepts write requests and may use the deduplication infrastructure in the storage management system to offload excess data from local primary storage to deduplicated secondary storage, based on a deduplication database.

Abstract: Recovery points can be used for replicating a virtual machine and reverting the virtual machine to a different state. A filter driver can monitor and capture input/output commands between a virtual machine and a virtual machine disk. The captured input/output commands can be used to create a recovery point. The recovery point can be associated with a bitmap that may be used to identify data blocks that have been modified between two versions of the virtual machine. Using this bitmap, a virtual machine may be reverted or restored to a different state by replacing modified data blocks and without replacing the entire virtual machine disk.

Abstract: According to certain aspects, a method of creating customized bootable images for client computing devices in an information management system can include: creating a backup copy of each of a plurality of client computing devices, including a first client computing device; subsequent to receiving a request to restore the first client computing device to the state at a first time, creating a customized bootable image that is configured to directly restore the first client computing device to the state at the first time, wherein the customized bootable image includes system state specific to the first client computing device at the first time and one or more drivers associated with hardware existing at time of restore on a computing device to be rebooted; and rebooting the computing device to the state of the first client computing device at the first time from the customized bootable image.

Abstract: During a data protection operation, a data storage system can collect computing attributes associated with hosting of an application generating data being backed up and may also obtain information relating to physical characteristics of the computing device hosting the application and the data. At the time of migration to a cloud, the system can use the collected attributes and/or information to provision cloud resources. For instance, the cloud storage system may accept provisioning requests, and may provide several templates which each specify a cloud resource that can be provisioned upon request, such as a cloud computing resource. The system can compare the collected attributes with the attributes of the available templates to determine the best match. Then, the system can issue a provisioning request to the cloud provider according to the best-matched template. After provisioning the resources, the system can restore backup data of the application to the cloud storage system to migrate the data.

Abstract: The present enhancement leaves production systems undisturbed while a remote application (“testbed application”) executes elsewhere (“testbed host”). An intermediary computing device hosts an enhanced pseudo-disk driver, pseudo-disks, and an enhanced media agent. The enhanced pseudo-disk driver creates the pseudo-disks, each one representing an associated point-in-time backup image residing in secondary storage. A network, e.g., an Internet Protocol (IP) network or a Fibre Channel (FC) Storage Area Network (SAN), connects the intermediary device with the testbed host, and the enhanced media agent exposes pseudo-disks over the network using iSCSI or FC protocol, respectively. The testbed application uses an exposed pseudo-disk as its recovery data source, such that pseudo-disk resources provide data on an as-needed basis sufficient for the testbed application to operate, yet (a) without restoring the entire associated backup image from secondary storage and (b) without impacting the production environment.

Abstract: According to certain aspects, a system may include one or more first computing devices in communication with a remote computing system over a wide area network (WAN), configured to initiate a data protection operation to create a secondary copy of production data generated by a first application; store in association with the secondary copy one or more computing parameters associated with hosting of the first application; compare characteristics associated with a plurality of differently appointed computing resources to provision within the remote computing system with the computing parameters; select one of the differently appointed computing resources to provision based at least in part on the comparison; request the remote computing system to provision an instance of the selected computing resource within the remote computing system; and restore at least a portion of the secondary copy of the production data generated by the first application to the remote computing system.

Abstract: An illustrative “Live Synchronization” feature creates and maintains a ready standby “synchronized application” that is available to take over as a failover solution for a “primary” application that operates in a production environment, but will do so on a different computing platform (e.g., physical server, virtual machine, container, etc.), and possibly on a differed kind of computing platform than, the primary. The illustrative system has specialized features and components for discovering and singling out each primary application and identifying and locating its disk image, e.g., VMDK file. The application is Live Synched to the standby/failover application without reference to whether and how other co-resident applications might be treated. The standby/failover destination supporting the synchronized application may be located anywhere, whether in the same data center as the primary or geographically remote or in a private or public cloud setting.

Abstract: Systems and methods can implement one or more intelligent caching algorithms that reduce wear on the SSD and/or to improve caching performance. Such algorithms can improve storage utilization and I/O efficiency by taking into account the write-wearing limitations of the SSD. Accordingly, the systems and methods can cache to the SSD while avoiding writing too frequently to the SSD to increase or attempt to increase the lifespan of the SSD. The systems and methods may, for instance, write data to the SSD once that data has been read from the hard disk or memory multiple times to avoid or attempt to avoid writing data that has been read only once. The systems and methods may also write large chunks of data to the SSD at once instead of a single unit of data at a time. Further, the systems and methods can write to the SSD in a circular fashion.

Abstract: An illustrative “Live Synchronization” feature creates and maintains a ready standby “synchronized application” that is available to take over as a failover solution for a “primary” application that operates in a production environment, but will do so on a different computing platform (e.g., physical server, virtual machine, container, etc.), and possibly on a differed kind of computing platform than, the primary. The illustrative system has specialized features and components for discovering and singling out each primary application and identifying and locating its disk image, e.g., VMDK file. The application is Live Synched to the standby/failover application without reference to whether and how other co-resident applications might be treated. The standby/failover destination supporting the synchronized application may be located anywhere, whether in the same data center as the primary or geographically remote or in a private or public cloud setting.