Rubrik, Inc.

Shivanshu Agrawal

Gaurav Maheshwari

Anuj Mittal

Kritagya Dabi

Archit Gupta

Srikanth Hanumanula

Arpit Kathuria

Anshul Mohan Gupta

Muraliraja Muniraju

Ankit Kumar

Daniel Hefenbrock

Takeshi Suzuki

Jaya Jyothiswaroop Kotni

Dhananjay Mantri

Rimple Malik

Ujjwal Sahana

A data management system (DMS) may facilitate the storage tiering of snapshots on cloud environments. For example, the DMS may transmit snapshot signaling to a first cloud environment that instructs the first cloud environment to capture a first snapshot of a computing object and to store the first snapshot in a first type of cloud storage at the first cloud environment. The DMS may determine that the first snapshot has been stored in the first type of cloud storage for a duration of time that satisfies an archival threshold. Based on the archival threshold being satisfied, the DMS may transmit archival signaling that instructs the first cloud environment to store the first snapshot to a second type of cloud storage. The second type of cloud storage may be associated with a longer access latency than the first type of cloud storage.

Storage tiering for computing system snapshots

Methods, systems, and devices for data management are described. A data management system (DMS) may obtain metadata associated with a snapshot stored by the DMS and including information associated with data paths in the snapshot. The DMS may scan an index registry for identifiers of the data paths to determine whether the index registry includes namespace and hierarchical index information that map the data paths to path identifiers and to descendent data paths within the snapshot, respectively. The DMS may generate term and count index information based on the metadata. The term and count index information may map terms to data paths that include the terms and numerical values associated with the terms, respectively. The DMS may store, in the index registry, the term and count index information with an identifier of a corresponding index group. The namespace and hierarchical index information may be common to multiple index groups.

Metadata search, filtering, and aggregation using indexes

A method for migrating a computing resource across cloud environments is described. According to the method, a data management system may interface with a first cloud environment and a second cloud environment. The data management system may receive a request to migrate a first computing resource stored in the first cloud environment to the second cloud environment. The data management system may generate, based on the request, a first compute job in the first cloud environment to cause the first cloud environment to extract data from a backup of the first computing resource and transfer the data to the second cloud environment. The data management system may instruct the second cloud environment to generate a second computing resource. The data management system may generate a second compute job in the second cloud environment to cause the second cloud environment to load the extracted data into the second computing resource.

Computing resource migration across cloud environments

A file system in a user space partition of virtual memory may be mounted by a computing device that runs a virtual machine which includes a set of storage disks. The file system in user space may then expose one or more virtual files associated with one or more storage disks that correspond to one or more loop devices configured to map files of the virtual machine to the one or more virtual files. The computing device may then receive a request to read a data block stored at the virtual machine and may identify a file and corresponding virtual file that stores the requested data block based on a set of metadata provided by the loop devices. The computing device may then determine the location of the data block stored at the virtual machine, and may read the data block from the determined location.

Efficient file recovery from tiered cloud snapshots

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Seattle, WA, United States of America

Shivanshu Agrawal