Cohesity, Inc.

Sunil Moolchandani

Apurv Gupta

Rupesh Bajaj

Vipin Gupta

Vivek Velankar

Sandeep Tandekar

Johnny Chen

Murali Vajapeyam

Apollo Aguilan Tanting

Aditya Tandon

Mohit Aron

Markose Thomas

Prashant Pogde

Abhijit Chakankar

Sashikanth Madduri

Manoj Singhal

Warren Shen

Properties of one or more databases of nodes of a database system are automatically discovered. The automatically discovered properties for at least one of the databases include a database architecture and a corresponding failover role for each of at least some of the nodes. Based at least in part on the discovered properties, a corresponding one of the nodes as a corresponding backup source node is selected for each of the one or more databases. One or more database backups are allowed to be performed via the one or more selected backup source nodes.

Performing a database backup based on automatically discovered properties

Application-level data in a storage system are evaluated. For example, a backup analysis tool retrieves a backup object stored in the storage system. The backup analysis tool reconstructs an application object from the backup object. The backup analysis tool accesses the first application object according to a native application format associated with the first object.

Search and analytics for storage systems

A method and system for performing incremental backup of a network attached storage (NAS) device are described. A storage capture instance associated with a first time instance is received from a network attached storage device. At least a portion of metadata of tracked network packets associated with the network attached storage device is also received. At least one changed content item of the network attached storage device that has changed since the first time instance is identified by analyzing the at least the portion of the metadata of the tracked network packets received. An incremental backup of the network attached storage device is performed at a second time instance based at least in part on the at least one changed content item identified.

Packet-based differential backup of network-attached storage device content

A request to migrate from a secondary storage system to a server a requested version of database content of a database backed up at the secondary storage system is received. A new version of the database content at the secondary storage system is instantiated. Functionality of the database is maintained including by allowing a database application hosted on the server to access the database content from the secondary storage system using the instantiated new version of the database content while migrating the requested version of database content from the secondary storage system to the server.

Using a secondary storage system to maintain functionality of a database during database migration

A method and system for restoring a database are described. An identification of a restoration point of the database is received. Using a processor, metadata of a plurality of backups are analyzed to identify from the plurality of backups a reduced dataset required to restore the database to the restoration point. The reduced dataset is provided for use in restoring the database to the restoration point.

Point-in-time database restoration using a reduced dataset

Techniques presented herein disclose techniques for evaluating application-level data in a storage system for search and analysis. A backup analysis tool retrieves a backup object stored in the storage system. The backup analysis tool reconstructs an application object from the backup object. The backup analysis tool accesses the first application object according to a native application format associated with the first object.

Search and analytics for a storage systems

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Santa Clara, CA, United States of America

Sunil Moolchandani