Cloud service alarm method and device

Abstract

The embodiment of the invention discloses a cloud service alarm method, and the method comprises the steps: firstly obtaining abnormal data generated in a cloud service operation process; then, basedon the data interface generating the abnormal data, identifying a cloud service type to which the abnormal data belongs; and then, in response to determining that the number of abnormal data generatedby the cloud service type exceeds a preset number threshold in the first preset time period, sending alarm information. The method can be applied to the field of cloud computing, and by collecting online abnormal data and carrying out frequency analysis on the abnormal data, active and rapid perception of online faults of the cloud service is realized, so that a cloud service provider can carry out rapid repair and timely loss stopping. Moreover, the unified fault sensing capability of the cloud service is realized, and the online fault sensing capability can be provided for the cloud servicesystem of each cloud service provider.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to a cloud service alarm method and device. Background technique [0002] Cloud service providers need to provide stable online services to meet customer service needs. However, in some cases, such as the network disconnection in the computer room or internal abnormalities in the cloud service, a large amount of online abnormal data will be generated, and the service may be unavailable. At present, when the above-mentioned situation occurs, the abnormal situation is generally known through the following methods: waiting for the user to provide fault feedback through the work order system or telephone contact; each service on the cloud has its own monitoring system to monitor its own online faults in real time. [0003] Based on the way users report abnormal situations, cloud service providers cannot detect abnormal service problems in a timely mann...

AI Technical Summary

Problems solved by technology

[0003] Based on the way users report abnormal situations, cloud service providers cannot detect abnormal service problems in a timely manner, so as to quickly follow up problems and stop losses, seriously affecting user experience

Based on their respective services to establish a monitoring system to obtain abnormal conditions, each team needs to carry out corresponding research and development work and establish relevant mechanisms. There is a lot of duplication of work among the teams, which wastes manpower and material costs.

Images