Management of log data
    12.
    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 MEDIA AGENT STATE MANAGEMENT

    公开(公告)号:US20210374021A1

    公开(公告)日:2021-12-02

    申请号:US16886520

    申请日:2020-05-28

    Abstract: Described herein are techniques for automating media agent state management. For example, if a media agent is running poorly, then the media agent can be disabled and an alternate media agent can perform secondary copy job operations in place of the poorly running media agent. To determine whether a media agent is running poorly, a storage manager can determine whether the media agent has an anomalous number of failed jobs, pending jobs, and/or long running jobs and/or can determine whether the amount of resources used by the media agent is high or is increasing constantly, at a constant rate, or at a near constant rate.

    Intelligent cache management for mounted snapshots based on a behavior model

    公开(公告)号:US11561978B2

    公开(公告)日:2023-01-24

    申请号:US17381026

    申请日:2021-07-20

    Abstract: A client computing device receives a behavior model corresponding to a user group associated with a user. The behavior model has been trained with monitored user interactions of one or more files associated with the user group. The client computing device further mounts a snapshot of a file and determines, based on the behavior model, which files of the mounted snapshot to transfer to a locally accessible cache. During use of the client computing device, the client computing device may determine whether the mounted snapshot is accessible. If the mounted snapshot is not accessible, the client computing device may selectively delete, based on the behavior model, one or more of the files stored in the locally accessible cache. If the mounted snapshot is accessible, the client computing device may update the one or more files of the locally accessible cache with monitored user interactions with the mounted snapshot.

    Dynamic computing progress tracker
    18.
    发明授权

    公开(公告)号:US11537959B2

    公开(公告)日:2022-12-27

    申请号:US16902993

    申请日:2020-06-16

    Abstract: A system may measure one or more metrics relating to the performance of a job for a set of occurrences of the job with respect to a data set. The measurements may be used to predict a completion time for a subsequent job or phase of the job on the data set. This prediction may be used to present a more accurate indication of a job completion status on the data set. The process may be repeated or performed separately for each client or set of data to provide an individualized progress meter or indicator. Thus, in some cases, variances in the data or computing systems may be reflected in the displayed progress of the job providing for a more accurate indication of job progress.

    Geo-location-based data replication

    公开(公告)号:US11323513B1

    公开(公告)日:2022-05-03

    申请号:US17196847

    申请日:2021-03-09

    Abstract: An information management system implements a geo-location-based data replication using a machine-learning algorithm implemented by a client computing device. The client computing device may create secondary copies at a secondary storage device, wherein a secondary storage computing device creates auxiliary copies of the secondary copies at an auxiliary storage device. The client computing device may move from one geographic location that is near the secondary storage device to a second geographic location that is far from the secondary storage device, but closer to the auxiliary storage device. The machine-learning algorithm is provided with input signals in response to the move, and outputs a probability value that the move is temporary or permanent. Based on the output from the machine-learning algorithm, a storage manager that manages the client computing device may then direct the client computing device to use the auxiliary storage device for storing secondary copies.

    Anomaly detection in deduplication pruning operations

    公开(公告)号:US11256673B2

    公开(公告)日:2022-02-22

    申请号:US16789232

    申请日:2020-02-12

    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.

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