IT equipment failure rate automatic monitoring method and device, equipment and storage medium

Abstract

The embodiment of the invention provides an IT equipment failure rate automatic monitoring method and device, equipment and a storage medium. The method comprises the steps: receiving input period starting time and period deadline; collecting the number of faults in the period, the number of IT devices at the period deadline and the installation date of the IT devices; determining a period year number according to the period starting time and the period deadline; and generating an annual failure rate in the period according to the period starting time, the period deadline, the number of failures in the period, the number of IT devices, the installation date of the IT devices and the number of years of the period. According to the embodiment of the invention, the fault rate of any batch of IT equipment in any time period can be accurately obtained.

Description

technical field [0001] This specification relates to the technical field of IT equipment failure monitoring, in particular to a method, device, equipment and storage medium for automatic monitoring of IT equipment failure rate. Background technique [0002] Banking data centers have a large number of IT equipment, and some large banks have more than tens of thousands of IT equipment. These IT equipment run 7*24 hours a day, carrying important bank information systems such as the core banking system. Once IT equipment fails, it may cause serious business impact. The brands, models, and purchase dates of these IT devices are different. IT devices of the same brand, model, and purchase date are usually of the same manufacturing batch when they leave the factory. Taking a bank data center with tens of thousands of servers as an example, its IT equipment can be divided into hundreds of different batches according to the same brand, same model, and same purchase date. The same ba...

AI Technical Summary

Problems solved by technology

[0003] Currently, bank data center operation and maintenance teams usually rely on manual input and analysis of IT equipment failures, and can only obtain time-point failure rate data of full IT equipment, such as full IT equipment failure rate data at the end of the month and year, and cannot monitor any batch in real time. Whether the failure rate of IT equipment in any period of time is abnormal, making it difficult to find out whether a certain batch of IT equipment is defective

Not only that, because the number of IT equipment at the beginning and end of the period may change, it is also difficult to accurately know the failure rate during this period

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