Anomaly detection in deduplication pruning operations

    公开(公告)号:US11892991B2

    公开(公告)日:2024-02-06

    申请号:US17571341

    申请日:2022-01-07

    CPC classification number: G06F16/215 G06F11/0766 G06F16/2365

    Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation. Predicting low utilization periods for these and other key resources is useful for scheduling maintenance activities without interfering with ordinary deduplication pruning operations and/or other data protection jobs.

    Log monitoring
    5.
    发明授权

    公开(公告)号:US11500751B2

    公开(公告)日:2022-11-15

    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.

    Management of log data
    6.
    发明授权

    公开(公告)号:US11379457B2

    公开(公告)日:2022-07-05

    申请号:US16374603

    申请日:2019-04-03

    Abstract: A system according to certain aspects improves the process of managing log data. The system may receive a log data file including one or more log lines that contain information relating to computing operations. At least some of the log lines may include a static portion and a variable portion. The system may process a first log line to identify and extract a static portion from the first log line, and determine a first value for the first log line based on the extracted static portion. The system may process a second log line to identify and extract a static portion from the second log line, and determine a second value for the second log line based on the extracted static portion. The system may compare the first and second values, and based on the comparison, organize the first and second log lines together for presentation to a user.

    Automated grouping of computing devices in a networked data storage system

    公开(公告)号:US10313196B2

    公开(公告)日:2019-06-04

    申请号:US15055073

    申请日:2016-02-26

    Abstract: According to certain aspects, systems and methods are provided for grouping clients together in a networked data storage environment. For instance, clients can be grouped together based on the software installed on the client or the client type. Each client group can be configured to maintain the configuration of clients within the client group. For example, one client group can be configured to ensure that a particular software suite remains up-to-date. Another client group can be configured to ensure that data within a particular directory or on a particular storage device associated with each client of the client group is backed up each night.

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