VM protection with true zero RTO
    101.
    发明授权

    公开(公告)号:US11640258B2

    公开(公告)日:2023-05-02

    申请号:US17382037

    申请日:2021-07-21

    Abstract: One example method includes powering off a replica VM, taking a snapshot of an OS disk of a source VM associated with the replica VM, taking a snapshot of an OS disk of the replica VM, generating a list of blocks that includes all blocks of the source VM OS disk that have changed since a preceding cloning or snapshot process and further includes all blocks of the replica VM OS disk that have changed since the preceding cloning or snapshot process, and performing an override of the replica VM disk by writing, to the replica VM OS disk, the respective source VM OS disk values for each block in the list of blocks.

    Distributed Data Center
    102.
    发明申请

    公开(公告)号:US20230130897A1

    公开(公告)日:2023-04-27

    申请号:US17507672

    申请日:2021-10-21

    Abstract: A system can maintain a first data center in a first physical location that comprises first compute hardware, and a second data center in a second physical location that comprises second compute hardware. The system can establish an overlay network that spans the first data center and the second data center. The system can establish a group of virtualized volume identifiers that spans the first data center and the second data center, and that virtualizes physical storage volumes. The system can determine whether to process a customer virtualized workload on the first data center or on the second data center to produce a selected location, wherein the customer virtualized workload is configured to be processed on the first data center and to be processed on the second data center. The system can process the customer virtualized workload at the selected location.

    Data Center Restoration
    103.
    发明申请

    公开(公告)号:US20230125085A1

    公开(公告)日:2023-04-27

    申请号:US17507656

    申请日:2021-10-21

    Abstract: A system can determine to restore a datacenter that comprises a group of virtualized workloads. The system can determine respective associations between respective virtualized workloads and respective datastores. The system can determine to restore a first virtualized workload of the group of virtualized workloads first. The system can restore a first portion of infrastructure that corresponds to the first virtualized workload first among a group of infrastructure. The system can, after restoring the first portion of infrastructure, restore a first portion of data that corresponds to the first virtualized workload first among a group of data. The system can, after restoring the first portion of data, restore a first portion of a virtualization layer that corresponds to the first virtualized workload first among a group of virtualization layers. The system can, after restoring the first portion of the virtualization layer, restore the first virtualized workload.

    CONTINUOUS DATA PROTECTION IN CLOUD USING STREAMS

    公开(公告)号:US20220391287A1

    公开(公告)日:2022-12-08

    申请号:US17303605

    申请日:2021-06-03

    Abstract: One example method includes performing a recovery operation. A recovery operation is performed using streams rather than volumes in the cloud. Do data is written to a do stream. When the do data is applied to a cloud volume, which is a copy or replica of a production volume, data being replaced is saved to an undo stream to ensure that any PiT can be recovered using one or more of the cloud volume, the do stream and/or the undo stream.

    AUTOMATIC CONSISTENCY GROUP SCALE-OUT FOR ANY POINT IN TIME REPLICATION SYSTEMS

    公开(公告)号:US20220335059A1

    公开(公告)日:2022-10-20

    申请号:US17235391

    申请日:2021-04-20

    Abstract: One example method includes measuring a journal distribution lag of a journal, evaluating a first operational measure at a production site, and evaluating a second operational measure at a replication site operable to communicate with a production site, based on the journal distribution lag, and the evaluation of the first operational measure and the second operational measure, determining a scale out for a consistency group of the replication site, and implementing the scale out of the consistency group.

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