Abstract: One example method includes receiving data segments that are not already part of a full disk image of a backup, storing the data segments in storage, determining whether or not an aggregate total of data segments in the storage, that are not already part of a full disk image of a backup, equals or exceeds a threshold, when the aggregate total of data segments in the storage equals or exceeds the threshold, creating a full disk image of a backup that includes the data segments in storage, and storing the created full disk image of the backup to a recovery disk.

Abstract: Systems and methods for providing data protection operations including cyber-threat protection operations. A sentiment analysis may be performed using language analysis to identify or determine a general or specific sentiment with or without intent to do harm. A score of the sentiment is then determined to assess risk. The data backup policy can be updated based on the assessed risk.

Abstract: A backup entity and a method for backing up a disk volume of a production device are provided. The backup entity is configured to: create a first backup image of the disk volume, in a backup repository. Further, the backup entity is configured to obtain a first indication from the production device, wherein the first indication is indicative of a first operation to be performed by the production device on the disk volume. The backup entity is further configured to perform the first operation on the first backup image, to obtain a second backup image in the backup repository. According to the application, a solution to mimic an operation that changes data of a production storage, in a backup system, is provided, which can reduce the amount of data sent from the production storage to the backup system and thus reduce a backup window.

Abstract: A data protection system configured to backup a time series database is provided. The data protection system may be integrated with or have access to consolidation policies of the time series database. The backup policy and backup retention policy are set by monitoring the consolidation policy and adjusting the backup policy to ensure that the data in the time series database is protected prior to being downscaled, discarded or otherwise consolidated.

Abstract: Embodiments of a compliance service that will enable users be compliant with all regulatory, industry processes and business needs at all times. The service is available to storage and data protection systems through a set of APIs that will enable such compliance be achieved and maintained with no user intervention and without labor-intensive manual work. The service will also allow storing the configuration of the data protection policies and create alerts when compliance changes. A data backup platform may include a data protection system that integrates with such a service and provides full regulatory/industry compliance.

Abstract: A method and system for securely replicating encrypted deduplicated storages. Specifically, the method and system disclosed herein entail the replication and migration of encrypted data between storage systems that support deduplication. More specifically, a first encrypted data, which may have been encrypted using a first public cryptographic key and consolidated on a source storage system, may be translated into an interim (yet still encrypted) state using a first split private cryptographic key. Thereafter, using a compound conversion key, the interim state data may be further translated into a second encrypted data, which may be characterized as being encrypted by a second public cryptographic key. Therefore, substantively, the method and system disclosed herein may be directed to the translation of encrypted data from one encryption scheme to another while in-flight from a source storage system to a target storage system.

Abstract: A method for provided use in a storage device having a controller, the method comprising: identifying, by the controller, a plurality of logical regions in the storage device; obtaining, by the controller, a respective usage metric for each of the logical regions; updating, by the controller, a translation data structure of the storage device, the translation data structure being updated to map any of the logical regions of the storage device to a respective physical portion of the storage device, the respective physical portion being selected based on the respective usage metric of the logical region, wherein the translation data structure is part of a flash translation layer of the storage device, and the translation data structure is configured to store mapping information between a logical address space of the storage device and a physical address space of the storage device.

Abstract: A method and system for enabling agentless backup and restore operations on a container orchestration platform. Specifically, the method and system disclosed herein may entail facilitating the implementation of backup (or restore) workloads in a containerized environment without the co-execution of secondary storage agents therein, which traditionally manage these backup (or restore) operations.

Abstract: Methods, systems, and computer program products for cloud to cloud disaster recovery are disclosed. Exemplary embodiments may: discover one or more virtual machines associated with a first auto scaling group; and generate a plan to backup the one or more virtual machines to a second cloud.

Abstract: A method and a global server for deduplicating multiple storage servers are disclosed. The global server maintains information regarding a set of hash values, each hash value being associated with a data chunk of data stored in the global server and/or the storage servers, receive, from one or more of the storage servers, a request to modify the information with respect to one or more hash values, accumulate and sort metadata related to the one or more requests, modifies the information with respect to the one or more hash values, based on the accumulated metadata when the accumulated metadata reaches a determined size.

Abstract: Systems and methods for performing data protection operations including replication operations. A replication operation may automatically learn and predict when a replication system will need to switch modes, such as to a protective mode or to a fast-forward mode. The replication operation ensures that the data is replicated in a manner that optimizes the ability to retain data needed to perform point in time recovery operations while prioritizing the replication operation of new data.

Abstract: One example method includes receiving input concerning a boot order sequence, where the input includes VM metadata, entering a training phase which includes generating a boot sequence rule based on the input, using the boot sequence rule to generate a proposed boot sequence, performing the proposed boot sequence, and gathering information concerning performance of the proposed boot sequence. The gathered information can be used as a basis to generate a modified boot sequence.

Abstract: Embodiments for systems and methods of providing a boot order for containers in a cloud native application environment by collecting container environment data from a first container site; determining dependencies and connections between the containers and applications executed within the containers based on a number of system parameters; calculating a recommended order for booting or rebooting the containers during a disaster recovery process; and communicating the recommended order to a system administrator through a graphical user interface (GUI) for acceptance or modification by the system administrator.

Abstract: Automatic network configuration for the recovery of virtual machines. A network configuration can be automatically provisioned by discovering the network topology of a source site and then matching the virtual machines to their locations or subnets in the network topology. The network is then implemented on a target site such that the required connectivity is present in the recovered target site even when the infrastructure of the source site and the target site are different.

Abstract: A method includes designating one or more particular portions of a storage volume of a storage system for inclusion in a sub-volume snapshot. The method further includes generating the sub-volume snapshot as a point-in-time copy that includes the one or more designated portions of the storage volume and excludes one or more non-designated portions of the storage volume. The method is performed by at least one processing device comprising a processor coupled to a memory. The storage volume illustratively comprises a logical unit of a virtual machine file system, with the one or more designated portions of the logical unit of the virtual machine file system illustratively comprising at least one virtual machine storage drive file of the virtual machine file system. In some embodiments, a bitmap or other data structure is maintained for the storage volume with particular entries in the data structure corresponding to respective ones of the portions.

Abstract: A storage system in one embodiment comprises a plurality of storage devices and a storage controller. The storage controller is configured to receive information indicating whether target data is one of a non-deduplicatable type of data and a deduplicatable type of data. Responsive to the information indicating that the target data is of the deduplicatable type, the storage controller is configured to utilize a content-based mapping generated based on a content of the target data to identify a corresponding physical address for storing the target data. Responsive to the information indicating that the target data is of the non-deduplicatable type, the storage controller is configured to utilize an address-based mapping generated based on a logical address associated with the target data to identify a corresponding physical address for storing the target data.

Abstract: A physical event to be modeled is selected. A profile for the physical event is generated based on an event type of the physical event. Data is obtained from a plurality of data sources, wherein the obtained data comprises data relevant to the physical event that is collected by the plurality of data sources, and further wherein at least a portion of the obtained data comprises one or more of spatial and temporal references associated with the collection of the data. A digital representation of the physical event is generated based on at least a portion of the obtained data and the generated profile. The digital representation is utilized to analyze one or more other physical events associated with the modeled physical event.

Abstract: Example embodiments of the present invention relate to a method, a system, and a computer program product for verifying the integrity of replicated virtual machine data. The method includes reading data from a production volume at a production site. A representation of the data may be stored at a replica site with the integrity of the data stored in the replica volume being verified according to the representation of the data.

Abstract: One example method includes exposing a block storage which is distributed across a group of multiple sites, receiving a primary write request that identifies data to be stored, separating data identified in the primary write request into multiple data pieces, encoding the data pieces by creating multiple new blocks of data based on the multiple data pieces, where the data pieces are encoded in such a way that when a sufficient number, but fewer than all, of the multiple new blocks of data are retrieved, the data identified in the write request is recoverable by decoding, and writing the new blocks of data to different respective sites of the group, where writing of the new blocks of data is performed in conjunction with a plurality of secondary write requests, each of which corresponds to one of the new blocks of data.

Abstract: One example method includes identifying a group of microservices that form respective portions of an application, capturing any relations among microservices in the group of microservices, generating one or more restore policies for the application, based on identified relations among the microservices in the group of microservices, and configuring one of the restore policies so that such restore policy specifies restoring, together, a microservice that was identified as a partial cause of a problem, and any other microservices that are dependent on that microservice.