Comm Vault Systems, Inc.

Vijay H Agrawal

Anand Prahlad

Sunil Kumar Gutta

Rahul S Pawar

Sri Karthik Bhagi

Amit Mitkar

Andrei Erofeev

Amit Bhaskar Ausarkar

Manojkumar Machindra Waghmare

Systems and methods disclosed herein improve on current technology for block-level data replication to cloud computing environments. A new system architecture deploys one or more replication tail proxies in a cloud computing environment, locally (at the cloud) tracks replicated data and determines which replicated data meet criteria for reconstructing a desired point-in-time in the cloud, and persists data blocks received at the replication tail proxy until they are processed as recovery points. The disclosed approach presents resiliency and performance advantages. First, the resiliency of block-level data replication to cloud is improved by deploying the replication tail proxy in the destination cloud. Second, a Recovery Time Objective (RTO) is reduced by enabling faster cloud deployment of virtual machines for disaster recovery, failover, and/or test purposes based on the replicated data.

Cloud-based destination for block-level data replication processing

Systems and methods for performing file-level restore operations for block-level data volumes are described. In some embodiments, the systems and methods restore data from a block-level data volume contained in secondary storage by receiving a request to restore one or more files from the block-level data volume, mounting a virtual disk to the block-level data volume, accessing one or more mount paths established by the virtual disk between the data agent and the block-level data volume, and browsing data from one or more files within the block-level data volume via the established one or more mount paths provided by the virtual disk.

Restore for block-level backups

Certain embodiments described herein relate to an improved block-level replication system. One or more components in an information management system may receive a request to perform a block-level replication between a source storage device and a destination storage device, and depending on the specific replication mode requested, (i) store block-level changes directly to the destination storage device or (ii) first to a recovery point store and then later to the destination storage device.

Block-level data replication

An illustrative ISCSI server computing device provides user computing devices with 'private writable snapshots' of a desired volume of data and/or further provides 'private writable backup copies.' The ISCSI service is provided without invoking snapshot limits imposed by storage arrays and further without specialized backup software and pseudo-disk drivers installed on the user computing devices. A user can browse as well as edit personal versions of any number and/or versions of block-level backup copies&#x2014;the &#x201c;private writable backup copies.&#x201d; Likewise, a user can browse and edit personal versions of any number of snapshots of one or more versions of one or more desired data volumes&#x2014;the &#x201c;private writable snapshots.&#x201d; A user can have any number of co-existing private writable snapshots and private writable backup copies. Sparse files, extent-files, software snapshots, and/or media agents co-residing on the ISCSI server are used in the illustrative embodiments.

Live browsing and private writable environments based on snapshots and/or backup copies provided by an ISCSI server

Browse and restore for block-level backups

Block-level live browsing and private writable backup copies using an ISCSI server

Block-level live browsing and private writable snapshots using an ISCSI server

Systems and methods for performing file-level restore operations for block-level data volumes are described. In some embodiments, the systems and methods restore data from a block-level data volume contained in secondary storage by receiving a request to restore one or more files from the block-level data volume, mounting a virtual GUID Partition Table (GPT) disk to the block-level data volume, accessing one or more mount paths established by the virtual GPT disk between the data agent and the block-level data volume, and browsing data from one or more files within the block-level data volume via the established one or more mount paths provided by the virtual GPT disk.

Systems and methods for performing intelligent replication of production data on a source storage device. In certain examples, a full backup of the production data is first performed and stored on a destination system. A journal module on the storage device (e.g., a shared storage device), or on at least one source system, tracks files on the storage device that change during a particular period of time. Following this period, a snapshot is taken of the production data. Upon mounting the snapshot, the replication system uses the journal information to identify modified files, conduct a block-level comparison of only the modified files with corresponding files on the destination system, and identify the particular data blocks that changed. The replication system then replicates only the changed blocks to the destination system. Certain systems further store information indicating a source system time of a known good state of the production data.

Systems and methods for performing discrete data replication

Stubbing systems and methods are provided for intelligent data management in a replication environment, such as by reducing the space occupied by replication data on a destination system. In certain examples, stub files or like objects replace migrated, de-duplicated or otherwise copied data that has been moved from the destination system to secondary storage. Access is further provided to the replication data in a manner that is transparent to the user and/or without substantially impacting the base replication process. In order to distinguish stub files representing migrated replication data from replicated stub files, priority tags or like identifiers can be used. Thus, when accessing a stub file on the destination system, such as to modify replication data or perform a restore process, the tagged stub files can be used to recall archived data prior to performing the requested operation so that an accurate copy of the source data is generated.

Stubbing systems and methods in a data replication environment

Systems and methods for performing data replication are disclosed. Determining whether to update replicated data typically involves comparison of readily obtainable attributes of a given source file and its corresponding replicated file. Such attributes can be obtained from, for example, metadata. In certain situations, an additional assessment of the source and replicated files can be beneficial. For example, if integrity of an existing replicated file's content is maintained, one may not want to re-replicate the corresponding source file. For large source files, such a decision can provide substantial reductions in expenditures of available computing and network resources. In certain embodiments, a threshold for identifying such large files can be based on one or more operating parameters such as network type and available bandwidth. In certain embodiments, replication file's integrity can be checked by calculating and comparing checksums for the replication file and its corresponding source file.

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Pune, India

Vijay H Agrawal