SNAPSHOT COPY OPERATION BETWEEN ENDPOINTS

    公开(公告)号:US20230133533A1

    公开(公告)日:2023-05-04

    申请号:US17731745

    申请日:2022-04-28

    Applicant: NetApp Inc.

    Abstract: Techniques are provided for implementing a snapshot copy operation between endpoints. One or more snapshots (e.g., snapshots of an on-premise volume) is stored within a source endpoint, such as a source bucket of an object store. A post operation is executed to copy objects comprising snapshot data of a snapshot from the source endpoint to a destination endpoint. A get operation and a tracking object such as a cookie is used to track progress of copying the objects from the source endpoint to the destination endpoint. The tracking object is used to restart the copying of the objects from a point where the copying left off (e.g., in the event there is a failure) without having to restart from the beginning.

    ON-DEMAND PARALLEL PROCESSING OF OBJECTS USING DATA CONNECTOR COMPONENTS

    公开(公告)号:US20220138169A1

    公开(公告)日:2022-05-05

    申请号:US17242399

    申请日:2021-04-28

    Applicant: NetApp Inc.

    Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

    FLEXIBLE TIERING OF SNAPSHOTS TO ARCHIVAL STORAGE IN REMOTE OBJECT STORES

    公开(公告)号:US20250165432A1

    公开(公告)日:2025-05-22

    申请号:US19030302

    申请日:2025-01-17

    Applicant: NetApp, Inc.

    Abstract: Techniques are provided for tiering snapshots to archival storage in remote object stores. A restore time metric, indicating that objects comprising snapshot data of snapshots created within a threshold timespan are to be available within a storage tier of a remote object store for performing restore operations, may be identified. A scanner may be executed to evaluate snapshots using the restore time metric to identify a set of candidate snapshots for archival from the storage tier to an archival storage tier of the remote object store. For each candidate snapshot within the set of candidate snapshots, the scanner may evaluate metadata associated with the candidate snapshot to identity one or more objects eligible for archival from the storage tier to the archival storage tier, and may archive the one or more objects from the storage tier to the archival storage tier.

    VOLUME GROUP RESTORE FROM REMOTE OBJECT STORE

    公开(公告)号:US20250165349A1

    公开(公告)日:2025-05-22

    申请号:US19030358

    申请日:2025-01-17

    Applicant: NetApp, Inc.

    Abstract: Techniques are provided for volume group backup, volume group restore, and volume group garbage collection for volume groups backed up to an object store. A volume group workflow is implemented to orchestrate individual consistent volume workflows that are separately and individually implemented by nodes hosting constituent volumes of a volume group. The volume group workflow and the individual consistent volume workflows are performed to back up the volume group to the object store, restore a volume group backup from the object store to a restore destination, and/or perform garbage collection on slots of objects storing data unique to a volume group backup to delete.

    On-demand parallel processing of objects using data connector components

    公开(公告)号:US12169483B2

    公开(公告)日:2024-12-17

    申请号:US17242399

    申请日:2021-04-28

    Applicant: NetApp Inc.

    Abstract: Techniques are provided for on-demand creation and/or utilization of containers and/or serverless threads for hosting data connector components. The data connector components can be used to perform integrity checking, anomaly detection, and file system metadata analysis associated with objects stored within an object store. The data connector components may be configured to execute machine learning functionality to perform operations and tasks. The data connector components can perform full scans or incremental scans. The data connector components may be stateless, and thus may be offlined, upgraded, onlined, and/or have tasks transferred between data connector components. Results of operations performed by the data connector components upon base objects may be stored within sibling objects.

Patent Agency Ranking