Server hardware state monitoring method and server hardware state monitoring system

Abstract

The invention provides a server hardware state monitoring method which includes the following steps. Intelligent platform management interface ipmi and hardware routing inspection is performed on multiple servers so as to obtain a hardware state of each server. Based on the hardware states and a preset failure knowledge base, failure level filtering is performed on each server and failure information and a failure level of each server are obtained. The failure levels and the failure information are analyzed, and the failure information is selectively pushed to a business processing platform based on an analysis result, and then the business processing platform deals with the failure. The server hardware state monitoring method can automatically monitor a state, is convenient, accurate and high-efficiency and provide accurate early failure warnings for routine operation and maintenance. Manual cost is saved and at the same time, automatic operation and maintenance standards of the servers are completed. The invention further discloses a server hardware state monitoring system.

Description

technical field [0001] The invention relates to the technical field of computers, in particular to a method and system for monitoring the hardware state of a server. Background technique [0002] Servers manage resources and provide services to users, which is a very important part of the Internet. Compared with ordinary computers, servers have higher requirements in terms of stability, security, and performance. [0003] When the server is online, in order to ensure the normal and safe operation of the server, a specific on-site staff usually conducts server hardware inspection tasks in the morning and evening every day. Mainly manually record the abnormal conditions of the server hard disk status indicator, memory status indicator, power status indicator, internal status indicator and external status indicator, and summarize and upload the data on the next working day. Then manually confirm the impact range of the faulty accessories on the server operation, set the prior...

AI Technical Summary

Problems solved by technology

[0005] (1) The running status of the server is monitored manually. When a large number of servers are running online, at least 2 to 3 people need to be assigned to conduct routine inspections in the morning and in the evening, which consumes manpower, low execution efficiency and low accuracy

In addition, manual on-site inspection of the equipment's operating status may easily cause network interruption or other abnormalities while touching the equipment, and it is impossible to avoid failure reports or untimely response due to human negligence

[0006] (2) The efficiency of daily fault diagnosis is low

When there is an abnormality in the online device, it is impossible to obtain enough effective information at the first time, the troubleshooting efficiency is not high, and when a fault occurs, the online service has already been affected, and the abnormal pre-alarm of the online device cannot be achieved.

In the state of a large number of servers, the efficiency of cluster operation and maintenance is low

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