Log management method, apparatus, computer device, and storage medium

Abstract

The embodiment of the invention discloses a log management method, a device, a computer device and a storage medium, wherein, the method comprises the following steps: acquiring log information generated by a system and outputting the log information to a kafka message queue; obtaining the log information generated by the system and outputting the log information to a kafka message queue; storingthe log information in the kafka message queue to the preset data storage platform according to the preset middleware; if system abnormality is detected, an abnormality mark and an abnormality type corresponding to the system abnormality are obtained; obtaining corresponding log information from the preset data storage platform according to the abnormality identification and the abnormality type,and determining the obtained log information as the abnormality log information; based on the preset graphical analysis tool, the obtained abnormal log information is graphically processed, and the graphical report is generated to display the abnormal log information that has been graphically processed. The embodiment of the invention can collect and display logs, can be applied to cloud computing, and does not require operation and maintenance engineers to manually obtain logs.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a log management method, device, computer equipment and storage medium. Background technique [0002] When a computer system fails, it is often necessary to analyze the cause of the failure through log files. Therefore, the analysis of log files is an important means to solve the problem of system failure. [0003] In the prior art, in order to obtain log files, the operation and maintenance engineer usually manually saves the on-site log files in real time when a fault occurs, and then uses the immediately saved log files to analyze the cause of the fault. When viewing a log file, only a single filter condition can be set to query the content of the log file. For example, only one keyword can be set at a time for query. For a fault problem, it often needs to be queried multiple times and with different keywords. The process Very time consuming and not efficient. [0...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, in order to obtain log files, the operation and maintenance engineer usually manually saves the on-site log files in real time when a fault occurs, and then uses the immediately saved log files to analyze the cause of the fault. When viewing a log file, only a single filter condition can be set to query the content of the log file. For example, only one keyword can be set at a time for query. For a fault problem, it often needs to be queried multiple times and with different keywords. The process Very time consuming and not efficient

[0004] With the continuous innovation of technology and the increasing number of computer system failures, manual acquisition of log files and single query log file content to solve failure problems can no longer meet the current business needs and development.

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