Intelligent cloud resource monitoring and warning method

Abstract

The invention discloses an intelligent cloud resource monitoring and warning method. The method specifically comprises the following realization processes: defining a cloud resource entity, isomerizing a resource architecture, performing performance collection and realizing a warning strategy, wherein the step of defining the cloud resource entity refers to the premise of realizing cloud resource monitoring and warning in the scheme; the step of isomerizing the resource architecture is a core link enabling the scheme to be compatible with various isomerous virtualization platforms; the step of performing performance collection is a data acquisition link in the scheme; and the step of realizing the warning strategy is a link of realizing intelligent warning in the scheme. Compared with the prior art, the intelligent cloud resource monitoring and warning method disclosed by the invention has the advantages that resource abnormity is conveniently and timely discovered and repaired by a user, and the method has the advantages of high expansibility, compatibility, applicability, scientificity and practicality.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a highly practical and intelligent monitoring and alarming method for cloud resources. Background technique [0002] With the development of information technology, cloud computing has gradually become a hot spot in the industry, and cloud computing service platforms of major manufacturers at home and abroad have also begun to invest in science, education, culture, health, government, high-performance computing, e-commerce, and the Internet of Things. used in many fields. [0003] In the tide of cloud computing competition, manufacturers such as VMware, Amazon, and Microsoft have gradually emerged. Their products have gradually developed into mainstream virtualization products for cloud computing due to their advantages such as high stability and good performance. However, due to the lack of unified design standards for cloud computing, the virtualization products developed by...

AI Technical Summary

Problems solved by technology

[0005] In traditional cloud data centers, separate performance monitoring is required for different vendors and types of cloud resources, and even manual recording is required. The steps are very cumbersome and complicated

Moreover, different manufacturers, different models, and different types of resources have completely different monitoring methods. Every time when collecting performance information, operation and maintenance personnel need to collect on each resource. The operation process is extremely cumbersome, let alone unified monitoring and management.

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