Log management system of cloud computing server

Abstract

The invention provides a log management system of a cloud computing server. The log management system of the cloud computing server comprises a cloud computing server (1), an automatic log sorting module (2) and an intelligent identification module (3), wherein the cloud computing server (1) is used for processing logs and information by cloud computing server maintenance personnel through the cloud computing server; the automatic log sorting module (2) is connected to the cloud computing server (1) and used for automatically sorting the logs of the cloud computing server (1); the intelligent identification module (3) is connected to the automatic log sorting module (2) and used for identifying and screening the logs in which the cloud computing server maintenance personnel are interested. The logs of the cloud computing server can be sorted, counted, intelligently identified and automatically learned through the log management system of the cloud computing server disclosed by the invention; recording of repeated information is avoided; the quantity of the logs to be analyzed by a user is reduced; the cost is also reduced; the work efficiency is improved.

Description

technical field [0001] The invention belongs to the field of cloud computing servers, in particular to a cloud computing server log management system. Background technique [0002] As we all know, cloud computing is a brand-new computing model, and the log management of cloud computing servers usually records information such as user login, user behavior operation, and equipment abnormality, among which the user login information and user behavior operation information record a large amount of data and form The output information will affect the manual abnormal analysis of the administrator. Usually, the equipment management personnel use the manual screening method to use the classification tool or directly print out the logs to read one by one. This greatly affects the efficiency of personnel processing logs and leads to workload. Especially during the maintenance process of clustered cloud computing servers, if there is a large amount of log information that is not classi...

AI Technical Summary

Problems solved by technology

[0002] As we all know, cloud computing is a brand-new computing model, and the log management of cloud computing servers usually records information such as user login, user behavior operation, and equipment abnormality, among which the user login information and user behavior operation information record a large amount of data and form The output information will affect the manual abnormal analysis of the administrator. Usually, the equipment management personnel use the manual screening method to use the classification tool or directly print out the logs to read one by one. This greatly affects the efficiency of personnel processing logs and leads to workload. Especially during the maintenance process of clustered cloud computing servers, if there is a large amount of log information that is not classified, it is almost impossible to manually troubleshoot abnormalities, which also greatly increases the possibility of missing abnormal error logs. The cloud computing server log management technology includes: 1. All logs are output in the form of documents one by one. The device administrator needs to check each log regularly, for example, it needs to download the log every day for investigation; The tool classifies the days twice. If the log type is too large, many data types will also generate a lot of data, and the operation of independent personnel will be checked separately, which will also increase the workload of maintenance personnel.

Because the existing cloud computing server log management technology cannot automate the analysis of cloud computing server log types, it is impossible to self-report and upgrade the logs, and it is necessary to observe a large number of repeated information every day, increasing the number of maintenance personnel workload flaws

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