Log analysis method and device based on machine learning, equipment and storage medium

Abstract

The invention provides a log analysis method based on machine learning, and the method comprises the steps: obtaining a source log of a first time period from a target system according to a log analysis request when the log analysis request is received; Analyzing the source log through a preset random forest analysis model so as to judge whether the target system is abnormal or not according to ananalysis result; And if the target system is abnormal, determining an abnormal type according to the source log, and giving an alarm according to the abnormal type. The invention further provides a log analysis device and equipment and a computer readable storage medium. An analysis model is constructed in a machine learning mode, intelligent analysis of system logs is achieved, the workload andthe labor cost of people are effectively reduced, and the analysis efficiency and the operation and maintenance efficiency are improved; And the analysis can be automatically carried out at any time,so that the abnormal condition of the target system can be timely discovered to give an alarm, and the system abnormity can be timely discovered.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a log analysis method, device, equipment and storage medium based on machine learning. Background technique [0002] The system log management tools currently on the market generally collect logs in a centralized manner and perform quasi-index processing on logs, so as to provide search, analysis, monitoring, and visualization functions for operation and maintenance personnel. However, these tools do not conduct in-depth analysis of the collected logs. That is to say, the current log management tools still need to manually interpret and analyze the log content to determine whether there is an exception in the system. Due to the analysis process It is performed manually, and its efficiency is generally low, and it is impossible to detect system abnormalities in time. Contents of the invention [0003] The main purpose of the present invention is to provide a log analy...

AI Technical Summary

Problems solved by technology

However, these tools do not conduct in-depth analysis of the collected logs. That is to say, the current log management tools still need to manually interpret and analyze the log content to determine whether there is an exception in the system. Due to the analysis process It is performed manually, and its efficiency is generally low, and it is impossible to detect system abnormalities in time

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