VOLUME-LEVEL REPLICATION OF DATA VIA SNAPSHOTS AND USING A VOLUME-REPLICATING SERVER IN AN INFORMATION MANAGEMENT SYSTEM

    公开(公告)号:US20180357251A1

    公开(公告)日:2018-12-13

    申请号:US16009918

    申请日:2018-06-15

    CPC classification number: G06F17/30088 G06F11/16

    Abstract: The illustrative systems and methods use a special-purpose volume-replicating server(s) to offload client computing devices operating in a production environment. The production environment may remain relatively undisturbed while production data is replicated to a geographically distinct destination. Replication is based in part on hardware-based snapshots generated by a storage array that houses production data. The illustrative volume-replicating server efficiently moves data from snapshots on a source storage array to a destination storage array by transferring only changed blocks for each successive snapshot, i.e., transferring incremental block-level changes. Periodic restore jobs may be executed by destination clients to keep current with their corresponding source production clients. Accordingly, after the source data center goes offline, production data may be speedily restored at the destination data center after experiencing only minimal downtime of production resources. By employing block-level techniques, the disclosed solutions avoid the file-based data management approaches of the prior art, which tend to be too time-consuming and resource-intensive for the present scenario.

    LOG MONITORING
    2.
    发明申请
    LOG MONITORING 审中-公开

    公开(公告)号:US20190095304A1

    公开(公告)日:2019-03-28

    申请号:US16179335

    申请日:2018-11-02

    Abstract: A log monitoring system uses log monitoring rules to monitor log data generated by applications executing on a client computing device. By monitoring log data, the system detects that one or more triggering events have occurred on the client computing device. In response, the log monitoring system can perform one or more appropriate remedial actions. Additionally, in response to the detected event(s), the log monitoring system can extract a select subset of relevant data from the client and transmit the subset of data to a separate repository for storage and/or processing.

    LOG MONITORING
    3.
    发明申请
    LOG MONITORING 审中-公开

    公开(公告)号:US20200272549A1

    公开(公告)日:2020-08-27

    申请号:US16808083

    申请日:2020-03-03

    Abstract: A log monitoring system uses log monitoring rules to monitor log data generated by applications executing on a client computing device. By monitoring log data, the system detects that one or more triggering events have occurred on the client computing device. In response, the log monitoring system can perform one or more appropriate remedial actions. Additionally, in response to the detected event(s), the log monitoring system can extract a select subset of relevant data from the client and transmit the subset of data to a separate repository for storage and/or processing.

    GENERIC FILE LEVEL RESTORE FROM A BLOCK-LEVEL SECONDARY COPY
    4.
    发明申请
    GENERIC FILE LEVEL RESTORE FROM A BLOCK-LEVEL SECONDARY COPY 有权
    一般文件级恢复从一个块级二级副本

    公开(公告)号:US20150161015A1

    公开(公告)日:2015-06-11

    申请号:US14566239

    申请日:2014-12-10

    Abstract: Systems and methods are provided which perform a file level restore by utilizing existing operating system components (e.g., file system drivers) that are natively installed on the target computing device. These components can be used to mount and/or interpret a secondary copy of the file system. For instance, the system can instantiate an interface object (e.g., a device node such as a pseudo device, device file or special file) on the target client which includes file system metadata corresponding to the backed up version of the file system. The interface provides a mechanism for the operating system to mount the secondary copy and perform file level access on the secondary copy, e.g., to restore one or more selected files.

    Abstract translation: 提供了通过利用本地安装在目标计算设备上的现有操作系统组件(例如,文件系统驱动程序)执行文件级还原的系统和方法。 这些组件可用于安装和/或解释文件系统的辅助副本。 例如,系统可以在目标客户端上实例化包括与文件系统的备份版本对应的文件系统元数据的接口对象(例如,伪设备,设备文件或特殊文件的设备节点)。 该界面提供了一种机制,用于操作系统装载辅助副本并在次要副本上执行文件级别访问,例如恢复一个或多个所选文件。

    EFFICIENT VOLUME-LEVEL REPLICATION OF DATA VIA SNAPSHOTS IN AN INFORMATION MANAGEMENT SYSTEM
    6.
    发明申请
    EFFICIENT VOLUME-LEVEL REPLICATION OF DATA VIA SNAPSHOTS IN AN INFORMATION MANAGEMENT SYSTEM 审中-公开
    通过信息管理系统中的快照来高效地进行数据的复制

    公开(公告)号:US20160034481A1

    公开(公告)日:2016-02-04

    申请号:US14446159

    申请日:2014-07-29

    CPC classification number: G06F17/30088 G06F11/16

    Abstract: The illustrative systems and methods use a special-purpose volume-replicating server(s) to offload client computing devices operating in a production environment. The production environment may remain relatively undisturbed while production data is replicated to a geographically distinct destination. Replication is based in part on hardware-based snapshots generated by a storage array that houses production data. The illustrative volume-replicating server efficiently moves data from snapshots on a source storage array to a destination storage array by transferring only changed blocks for each successive snapshot, i.e., transferring incremental block-level changes. Periodic restore jobs may be executed by destination clients to keep current with their corresponding source production clients. Accordingly, after the source data center goes offline, production data may be speedily restored at the destination data center after experiencing only minimal downtime of production resources. By employing block-level techniques, the disclosed solutions avoid the file-based data management approaches of the prior art, which tend to be too time-consuming and resource-intensive for the present scenario.

    Abstract translation: 说明性的系统和方法使用专用卷复制服务器卸载在生产环境中运行的客户端计算设备。 当生产数据复制到地理上不同的目的地时,生产环境可能保持相对不受干扰。 复制部分基于由容纳生产数据的存储阵列生成的基于硬件的快照。 说明性的卷复制服务器通过仅传送每个连续快照的改变的块,即传送增量块级改变,将数据从源存储阵列上的快照移动到目的地存储阵列。 目标客户端可以执行定期还原作业,以保持与其对应的源生产客户端的最新状态。 因此,在源数据中心离线之后,生产数据可能在经历仅生产资源的最短停机时间之后可以在目的地数据中心被快速恢复。 通过采用块级技术,所公开的解决方案避免了现有技术的基于文件的数据管理方法,其对于本方案往往过于耗费时间和资源。

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