Intelligent cluster log monitoring and analyzing method

Abstract

The invention discloses an intelligent cluster log monitoring analysis method, and belongs to the technical field of computer information, and the method comprises the steps: collecting server cluster log information, generating a knowledge base based on the log information, monitoring server cluster logs, and discovering abnormal logs and generating a solution. By using the intelligent cluster log monitoring and analyzing method disclosed by the invention, the abnormal logs in the cluster operation process can be automatically found, and the solution is automatically generated according to the knowledge base, so that the operation and maintenance efficiency of an administrator is improved, and the repetitive work is reduced. The invention further discloses an intelligent cluster log monitoring analysis method which can be quickly deployed on a server, and an easy and convenient operation interface is provided for an administrator.

Description

technical field [0001] The invention relates to an intelligent cluster log monitoring and analyzing method, and belongs to the technical field of computer information. Background technique [0002] The log contains the running status data of objects such as devices, resources, processes, and services in the server cluster. It is an important basis for software running status monitoring, fault diagnosis, and troubleshooting. It is the main information collection that operation and maintenance personnel should pay attention to. [0003] At present, digital technologies represented by the Internet, big data, and artificial intelligence have penetrated into all fields of the economy and society. The world has entered an era of digital economy characterized by the Internet of Everything, data-driven, software-defined, platform-supported, and intelligence-led. In this era of digital economy, server clusters play an important role as a support platform for application systems. [...

AI Technical Summary

Problems solved by technology

[0005] The direct consequence of the sharp increase in the number of servers is the increase in the complexity of operation and maintenance. With the increase in the number of servers, the logs generated by the server cluster also increase sharply. The way for administrators to manually obtain and view server logs and find abnormal logs is no longer Applicable again, you need to use automated log analysis

The traditional log analysis method is mainly based on the time axis, using statistical theory and methods to collect the main characteristic information of the operating status over time, which is inefficient and difficult to adapt to the real-time requirements of log data analysis in the new era of network development.

At the same time, traditional log analysis systems can only perform simple analysis, such as filtering, retrieval, sorting, etc., and cannot provide targeted solutions based on abnormal logs

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