SNAPSHOT CLUSTERING TECHNIQUES FOR MULTIPART VOLUMES

    公开(公告)号:US20200089574A1

    公开(公告)日:2020-03-19

    申请号:US16687361

    申请日:2019-11-18

    Abstract: A snapshot analysis system analyzes a plurality of data snapshots taken in connection with data stored on a block device allocated by a data storage system. The snapshot analysis system may include an ingestor capable of initially detecting new snapshots and adding a root node for the snapshots. The system may include a block device analyzer that analyzes each snapshot to determine its contents, the relationship within data structures extant within the snapshot, and the snapshot's relationship to other snapshots and/or that of other block devices. The system may also include a clustering analyzer capable of determining whether snapshots are associated with multipart block devices, such as LVM or MD RAID devices. The system may further include a block device emulator that exposes data associated with a given snapshot as an addressable block device without necessitating retrieval or exposure of the full block device to which the snapshot is associated.

    Computing instance launch workflow
    23.
    发明授权

    公开(公告)号:US10521730B1

    公开(公告)日:2019-12-31

    申请号:US14482926

    申请日:2014-09-10

    Abstract: A technology is described for determining a launch workflow for launching multiple computing instances on a physical host in a computing service environment using a predicted launch time. An example method may include receiving a launch plan to launch a plurality of computing instances on a physical host within a computing service environment. A first launch workflow and a second launch workflow may then be determined for the launch plan where the first launch workflow and the second launch workflow may specify different sequences of operations performed to launch the computing instance on the physical host. Predicted launch times for the first launch workflow and the second launch workflow may be obtained and the predicted launch times may be compared to determine a launch workflow used in executing the launch plan.

    Snapshot data operation request processing

    公开(公告)号:US10019180B1

    公开(公告)日:2018-07-10

    申请号:US15087463

    申请日:2016-03-31

    Abstract: A snapshot analysis system analyzes a plurality of data snapshots taken in connection with data stored on a block device allocated by a data storage system. The snapshot analysis system may include an ingestor capable of initially detecting new snapshots and adding a root node for the snapshots. The system may include a block device analyzer that analyzes each snapshot to determine its contents, the relationship within data structures extant within the snapshot, and the snapshot's relationship to other snapshots and/or that of other block devices. The system may also include a clustering analyzer capable of determining whether snapshots are associated with multipart block devices, such as LVM or MD RAID devices. The system may further include a block device emulator that exposes data associated with a given snapshot as an addressable block device without necessitating retrieval or exposure of the full block device to which the snapshot is associated.

    Automated management of computing instance launch times

    公开(公告)号:US09641384B1

    公开(公告)日:2017-05-02

    申请号:US14482914

    申请日:2014-09-10

    CPC classification number: H04L41/0686 H04L41/50 H04L41/5025

    Abstract: Technology is described for monitoring computing instance launch times. A launch plan for launching a computing instance in a computing service environment may be identified. A predicted launch time for launching the computing instance on a selected physical host in the computing service environment may be determined using a launch time prediction model. An actual launch time for launching the computing instance in the computing service environment may be identified. The predicted launch time that is determined using the launch time prediction model may be compared with the actual launch time for launching the computing instance in the computing service environment. The actual launch time may be determined as not being within a defined threshold of the predicted launch time. An alert may be generated to indicate that the actual launch time is not within the defined threshold of the predicted launch time.

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