Universal template log analysis method based on classification

Abstract

The invention relates to a universal template log analysis method based on classification. According to the method, different types of logs are classified, after unified encoding, specific analysis, classification and conversion are carried out through the created log template to form unified and standardized output data, and the method can cover most of template writing of log analysis and mapping work of normalized data. According to the method, various kinds of log analysis and data normalization work can be easily achieved, unified management and convenient extraction of log analysis dataare achieved, failure data are eradicated, and the working efficiency is improved.

Description

technical field [0001] The invention relates to a data management technology, in particular to a classification-based general template log parsing method. Background technique [0002] Devices from different manufacturers generated a large amount of log data in custom formats, which caused the comprehensive management and early warning platform to be exhausted in the process of centralized log management and analysis, and repeated work occurred frequently. For devices with fast software iterations, if the log structure cannot inherit from the previous version, it will often lead to obvious errors in the data parsed from the logs, which is very unfavorable for the management and early warning platform to quickly and accurately monitor the operation of the system. [0003] Although some current log analysis software tools, such as logstash, Graylog, and Nagios, can analyze log data, the configuration is complex and there are many constraints in the use of specific scenarios. ...

AI Technical Summary

Problems solved by technology

[0004] The present invention is aimed at the problem that various product log analysis is tedious and inconvenient for data statistics and sorting. To achieve the purpose of analyzing various logs

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