Software instance fault prediction method and device, electronic equipment and storage medium

Abstract

The invention provides a software instance fault prediction method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining real-time data of an alarm index of a software instance; according to the real-time data of the alarm index, predicting the fault of the software instance through a fault prediction model. According to the invention, whether the software instance has the fault or not is predicted in advance through the fault prediction model, meanwhile, the possible fault point of the fault is predicted, an effective basis can be provided for fault repair, the time for manually troubleshooting the fault reason is saved, and the fault repair efficiency is improved.

Description

technical field [0001] The invention relates to the field of computer information technology, in particular to a method, device, electronic equipment and storage medium for predicting software instance failures. Background technique [0002] With the changes in the environment of the computer software industry, and the increasingly complex calling and deployment relationships of various business systems, the calling relationships between components are also becoming more complex, and the frequency of failures and exceptions in each business system is correspondingly increased. Therefore, for business systems Timely repair and prediction of associated instance failures becomes particularly important. [0003] At present, the existing software instance failure repair methods are mainly to check the machine equipment after the software instance fails, or to check the machine equipment periodically manually; after the system is down, predict the possible causes through manual ex...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a software instance fault prediction method, device, electronic equipment and storage medium, which are used to solve the existing software instance fault solution method. The fault can only be repaired after the fault occurs, and cannot be repaired after the fault occurs. The location and time point of the failure was predicted before; when troubleshooting the cause of the failure, the cause of the failure can only be judged by manual experience, which leads to the problem of long time and low efficiency in solving the failure of the software instance; through the failure prediction model, the software Predict whether the instance will fail or not, and predict the possible fault point of the fault at the same time, which can provide an effective basis for fault repair, save the time of manual troubleshooting, and improve the efficiency of fault repair

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