Container fault analysis method and device and storage medium

By determining the faulty object and its downstream object in the container cluster, obtaining its operating status information and inputting it into the fault analysis model, the problem of difficulty in fault location in large-scale clusters is solved, and efficient and accurate fault analysis is achieved.

CN119718737AActive Publication Date: 2025-03-28CHINA MERCHANTS FINANCE HLDG CO LTD
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Patent Information

Application Number
CN202411703037.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-26
Publication Date
2025-03-28
Estimated Expiration
2044-11-26

AI Technical Summary

Technical Problem

In a large-scale container cluster environment, analyzing the operating status information of all containers one by one is time-consuming and labor-intensive, resulting in difficulty in locating faults.

Method used

By obtaining alarm information, determine the fault object and its downstream object, obtain its operating status information, and input it to the pre-trained target fault analysis model to obtain the cause and repair measures.

Benefits of technology

Significantly narrow the scope of analysis, reduce the amount of data, improve the speed of troubleshooting, reduce the burden of computing resources, and improve the accuracy of fault location.

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Abstract

The invention discloses a container fault analysis method and device and a storage medium, and relates to the technical field of fault analysis, and the method comprises the steps: determining a fault object according to alarm information after the alarm information is obtained, and determining a downstream object of the fault object; acquiring running state information of the fault object and running state information of the downstream object; and inputting the running state information of the fault object and the running state information of the downstream object into a target fault analysis model to obtain a fault reason. According to the invention, the efficiency and accuracy of fault analysis can be improved in a containerized environment.
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