Cloud management platform based monitoring method

Abstract

The present invention relates to the technical field of resource object monitoring in a data center, in particular to a cloud management platform based monitoring method. The method comprises the following steps: S101: virtualization setting, enabling a physical machine bios, initiating CPU virtualization support, and installing virtualization software in the physical machine to realize management functions of creation, startup and shutdown of virtual machines; S102: management tool installation, installing a libvirt management tool to realize local and remote management; and S103: data collection, initiating the libvirt, initiating collect monitor api, setting a collection time interval with demands, and storing collected monitoring information in a distributed database mongodb. According to the cloud management platform based monitoring method disclosed by the present invention, virtual machine monitoring information collection can be completed only by calling the libvirt api, thereby reaching a monitoring purpose without adding agents into virtual machines, and greatly reducing a workload of management personnel; and the method is simple and convenient to operate, and improves reliability and accuracy of the monitoring system.

Description

technical field [0001] The invention relates to the technical field of data center resource object monitoring, in particular to a monitoring method based on a cloud management platform. Background technique [0002] Currently, monitoring applications based on cloud platforms are becoming more and more widely used, and the reliability of business monitoring is also getting higher and higher. Since traditional business monitoring only monitors individual resources related to the business, specific business operations and resource usage The situation requires human judgment and calculation, and it is impossible to directly monitor the business with high reliability. However, in practical applications, especially for the monitoring of key and important services, the traditional business monitoring methods have been unable to meet the usage requirements, and the monitoring results are inaccurate and too one-sided to effectively monitor the use and occupancy of resources. [0003...

AI Technical Summary

Problems solved by technology

[0002] Currently, monitoring applications based on cloud platforms are becoming more and more widely used, and the reliability of business monitoring is also getting higher and higher. Since traditional business monitoring only monitors individual resources related to the business, specific business operations and resource usage The situation requires human judgment and calculation, and it is impossible to directly monitor the business with high reliability

However, in practical applications, especially for monitoring key and important businesses, the traditional business monitoring methods can no longer meet the usage requirements, and the monitoring results are inaccurate and too one-sided to effectively monitor the use and occupancy of resources.

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