Emc IP Holding Company LLC

Dell Products Inc.

Emc Corporation

Elango Chockalingam

Krishnendu Bagchi

Manjesh Venkatanarayana Chikkanayakanahally

Sunil Kumar Yadav

Amarendra Behera

Nikhil Ambastha

Shivaraj Abbigeri

Vedavathi Ht

Srikanth Chowdary Marri

Madhukar Shukla

Navneet Upadhyay

Anupam Chakraborty

Rejith Mohan M

Upanshu Singhal

Amith Ramachandran

Mahesh Reddy Appireddygari Venkataramana

Jigar Premajibhai Bhanushali

Aditya Kapoor

Sunder Ramesh Andra

Avinash Kumar

Gajendran Raghunathan

Xiaolei Hu

Challa Dharmateja

Yashomathi Krishnamurthy

Arathi Bhandari

Acharya Soumen

Milind Parvatikar

Pradeep Annappa

Vibhanshu Rai

Amrit Lal Jain

William E Crosby, Iii

A method for managing data protection operations includes obtaining, by a data protection system, a policy request for configuring a data protection policy on the database system, wherein the database system comprises at least one active computing node, in response to obtaining the policy request: making a first determination that a first computing node of the database system has been discovered via deep discovery, updating a selection of computing nodes with the first computing node, making a second determination that a second computing node of the database system has not been discovered via the deep discovery, not including the second computing node in the selection, and performing a protection configuration on the selection of computing nodes to install the data protection policy to each computing node in the selection of computing nodes, and wherein the data protection policy comprises storage location information used for backing up a database.

Self-service data protection operation of active-passive and active-active database clusters

In general, the technology relates to a method for managing database copies, the method includes receiving a request to perform copy discovery on a database, wherein the database is associated with a unique identifier (UID), identifying, using an agent operatively connected to the database, entries corresponding to copies of the database specified in a catalog that are associated with the UID, wherein the catalog is associated with the database, and providing, by the agent, information about the identified copies to a data manager, wherein a data manager applies a retention policy to the identified copies.

Utilizing immutable unique identifiers to tag database to enable granular management of database copies

In general, in one aspect, the technology relates to a method for backing up assets, the method comprising: making a first determination about an asset type of an asset, based on the first determination, associating the asset with an asset group, wherein all assets in the asset group are of the asset type, and protecting the asset in the asset group using a backup strategy associated with the asset group.

Management of asset groups

A method for performing backups. The method includes sending, via a data manager, a quiesce request to a client storage array of a client device to put the client storage array in a quiesced state. The method also includes obtaining, via a primary backup storage system, a snapshot-based backup of a storage volume of the client storage array while the client storage array is in the quiesced state. Further, the method includes sending an unquiesce request to the client storage array in response to determining that the obtaining of the snapshot-based backup is complete. Moreover, the method includes sending the snapshot-based backup from the primary backup storage system to a secondary backup storage system. In addition, the method includes generating, using the secondary backup storage system, a protection copy based on the snapshot-based backup.

System and method to enable a snapshot-based backup

A method for performing a restore operation includes identifying a full backup associated with a first client device nearest a target restore time. The method further includes identifying a set of log backups that includes a first log backup that encompasses the target restore time and all log backups between the full backup and the first log backup. The method also includes identifying a target volume to which the full backup and all log backups are to be restored, and the target volume is on a second client device separate from the first client device. Moreover, the method includes restoring the full backup and the set of log backups to the target volume. In addition, the method includes mounting, after the restoring, the target volume to a target file system. Further, the method includes performing a native client restoration mechanism to the target restore time using the target file system.

System and method to perform a restoration using snapshot-based backups

A method includes determining, by a secondary backup storage system, that a first backup operation has completed and produced a first protection copy of assets stored in a client storage array, where a primary backup storage system is used to obtain a snapshot-based backup from the client storage array and provide the snapshot-based backup to the secondary backup storage system, where the first protection copy is generated using the snapshot-based backup. The method includes identifying a second backup operation that was started before the first backup operation was started, determining that the second backup operation successfully produced a second protection copy, and generating linking metadata that links the first protection copy to the second protection copy in response to determining that the second backup operation successfully produced the second protection copy, where linking metadata is used to restore at least a portion of the assets during a restore operation.

System and method to build dependency chain for snapshot-based backups

A method for performing a backup operation includes initiating, via a client device, an archive log backup of a client storage array of the client device, generating the archive log backup on the client device, attaching a tag to the archive log backup that indicates that the archive log backup should be linked to a previously generated protection copy made using a snapshot-based backup operation, sending, from the client device to a backup storage system, the archive log backup, and linking the archive log backup to the previously generated protection copy based on the tag.

System and method to enable a hybrid backup solution using snapshot-based backups and stream-based backups

Enabling scripting language commands to backup/restore databases is described. A system outputs, to a user interface, a backup/restore option for a database. The system generates scripting language commands based on a selection of the backup/restore option received from the user interface. The system outputs, to the user interface, the scripting language commands based on the selection of the backup/restore option. The system enables a scripting language system to execute the scripting language commands based on the selection of the backup/restore option.

Enabling scripting language commands to backup/restore databases

Enabling point-in-time recovery for databases which change transaction log recovery models is described. If a database is associated with a recovery model that creates independent backups of the database's transaction log, a system identifies most recent backup information and a current transaction log sequence number. If the most recent backup information includes a transaction log sequence number and the current transaction log sequence number is a reset value, the system creates a full backup of the database, without first creating any independent backup of the transaction log. The system creates an independent backup of the transaction log when the independent backup of the transaction log is scheduled next, subsequent to creating the full backup of the database.

Enabling point-in-time recovery for databases that change transaction log recovery models

A method for performing a backup operation includes obtaining a backup request, wherein the backup request specifies a virtual machine (VM) set, and, in response to the backup request: identifying a first set of virtual machines (VMs), wherein the first set of VMs comprises a first portion of the VM set, performing a criticality analysis on the first set of VMs using a machine learning algorithm and a trained machine learning model to obtain an ordered list of critical VMs, performing a non-critical VM prioritization on a second set of VMs using the machine learning algorithm and the trained machine learning model to obtain an ordered list of non-critical VMs, consolidating the ordered list of critical VMs and the ordered list of non-critical VMs to obtain a final list, and initiating a backup of virtual machines using the final list.

System and method to achieve virtual machine backup load balancing using machine learning

Techniques to back up data are disclosed. In various embodiments, an indication to perform a differential backup of a database is received. It is verified that a full backup to be referenced by the differential backup is available on backup media. It is determined that no intervening backup was performed subsequent to the full backup that would create a risk of data loss in the event a recovery operation based on the differential backup were performed, including by ignoring any intervening backup that may have been performed but is of a type that would not give rise to such a risk of data loss. The differential backup is performed, without promoting to full backup, based on least in part on said determination.

Promotional logic during database differential backup

An improved backup utility allows the ability to maintain full backup and incremental backup log chains, even when databases which are part of a clustered database group are backed up from different database nodes and instances. In these embodiments, this is implemented by storing the backup of the databases from both primary and secondary (failover) nodes under a single backup client which is the cluster identifier. The backup is indexed against a constant database instance based on a user configured save set. In other words, regardless of which node is primary at the time of the backup, the backup is made against a constant backup instance.

Automatic detection and backup of primary database instance in database cluster

Federated restore of availability group database replicas is described. A system receives a restore request associated with an availability group, and identifies a primary node in a cluster of nodes, the primary node storing a primary database replica associated with the availability group. The system identifies a secondary node in the cluster of nodes, the secondary node storing a secondary database replica associated with the availability group. The system removes the primary database replica and the secondary database replica from the availability group. The system simultaneously restores a backup database replica, associated with the availability group, as the primary database replica in the primary node and the secondary database replica in the secondary node. The system adds the restored primary database replica and the restored secondary database replica to the availability group.

Federated restore of availability group database replicas

A method for performing a restoration operation includes obtaining a restoration request, wherein the restoration request specifies a virtual machine (VM) set to be restored, and in response to the restoration request: identifying a first set of virtual machines (VMs), performing a critical VM prioritization on the first set of VMs using a trained machine learning model to obtain an ordered list of critical VMs, performing a non-critical VM prioritization on a second set of VMs using the trained machine learning model to obtain an ordered list of non-critical VMs, consolidating the ordered list of critical VMs and the ordered list of non-critical VMs to obtain a final list, and initiating a restoration of virtual machines using the final list.

System and method for a machine learning based smart restore mechanism

Backing up availability group databases configured on multi-node virtual servers is described. A system identifies an availability group scheduled for backup. The system determines whether the availability group is configured on at least one virtual server in a cluster of nodes associated with the availability group. If the availability group is configured on at least one virtual server in the cluster of nodes, the system retrieves information from a server in the cluster of nodes. The system uses the retrieved information to identify a database replica that is preferred for backing up the availability group. The system identifies a virtual server, in the cluster of nodes, that is associated with the identified database replica. The system identifies a node for backing up the availability group by identifying an active node from the nodes in the identified virtual server. The system backs up the availability group via the identified node.

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Bengaluru, India

Elango Chockalingam