Clustering of log messages
AssigneeLogsHero Ltd.
InventorsTomer LEVY, Asaf YIGAL, Ziv SEGAL, Amir KALRON, Eran NIR, Asaf MESIKA, Doron GILL
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AssigneeLogsHero Ltd.
InventorsTomer LEVY, Asaf YIGAL, Ziv SEGAL, Amir KALRON, Eran NIR, Asaf MESIKA, Doron GILL
Estimating the term…
A computer implemented method of creating a clustering model used for clustering a plurality of log messages comprising using one or more processors for receiving a plurality of training log messages, performing the following for each of the plurality of training log messages: calculating a string distance between a textual content of the respective training log message and a representative string pattern of each of the plurality of clusters, associating the respective training log message with a respective one of the plurality of clusters in case the string distance is within a predefined threshold and adding a new cluster to the plurality of clusters for associating respective training log message in case the string distance exceeds the predefined threshold, and outputting the clustering model.
A computer implemented method of detecting at least one anomaly within a plurality of non-training log messages during run-time, by using a clustering model targeting a predefined source of the run-time messages, comprising:
A system for detecting at least one anomaly within a plurality of non-training log messages during run-time, by using a clustering model targeting a predefined source of the run-time messages, comprising:
A computer program product comprising a non-transitory computer readable storage medium storing program code thereon for execution by at least one hardware processor, said program code comprising:
Dependencies are inferred from the claim text.