Fault processing method and device

Abstract

The embodiment of the invention discloses a fault processing method and device. The method comprises: obtaining fault information sent by a monitoring system, wherein the fault information comprises a fault log and a resource type; finding a fault preprocessing scheme from an operation database established in advance according to the fault information; and sending the fault preprocessing scheme to a user terminal to allow users to determine a final fault processing scheme according to the fault preprocessing scheme and perform fault processing. According to the embodiment of the invention, a fault preprocessing scheme corresponding to the fault information is automatically found out from the operation database through the fault information sent by the monitoring system, and the fault preprocessing scheme is pushed to the user terminal, and the users can take the fault preprocessing scheme as reference basis to obtain a final fault processing scheme for processing corresponding faults and perform processing of the faults. According to the embodiment of the invention, the workers' workload is reduced, the timeliness of fault processing is guaranteed, and the work efficiency is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of cloud computing data centers, and in particular, to a fault handling method and device. Background technique [0002] With the popularization of cloud computing technology, a variety of data centers based on cloud computing platforms emerge as the times require, which aggregate a large number of hardware resources and software resources. In order to ensure the normal operation of the cloud data center, it is necessary to implement comprehensive monitoring of the entire cloud data center. A large number of software and hardware resources in the cloud data center have brought huge challenges to its monitoring and management, and it is particularly important to monitor the status of these resources in real time and accurately. [0003] At present, the cloud data center monitoring system is usually built based on open source monitoring systems such as Nagios or Shinken, and each resourc...

AI Technical Summary

Problems solved by technology

Due to the large number of resources in the data center and the variety of resources, the failure of each resource is also very different. Therefore, in order to solve the fault, the operation and maintenance personnel need to master a large number of fault handling solutions, which increases the daily troubleshooting of the operation and maintenance personnel. The difficulty of faults, and when a fault occurs, the fault cannot be processed in time, which reduces work efficiency to a certain extent

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