Service monitoring method based on cloud resource monitoring platform

Abstract

The invention provides a service monitoring method based on a cloud resource monitoring platform, a service monitoring subsystem based on the cloud resource monitoring platform, a service dependence resource analysis unit and a service related monitoring parameter analysis and processing unit. The service monitoring subsystem based on the cloud resource monitoring platform is in charge of coordinating all unit modules. The service dependence resource analysis unit is mainly in charge of analyzing the type and characteristic of a service and determining all resources which the service depends on, the usage amount of all the resources and the like. The service related monitoring parameter analysis and processing unit is in charge of conducting comprehensive analysis of monitoring parameters of all the resources related to the service and determining the priority sequence of dependence on all the monitoring parameters, reasonable monitoring data acquisition frequency, an alarm threshold value, a notification strategy and the like. Compared with the prior art, the service monitoring method based on the cloud resource monitoring platform realizes high reliable and accurate monitoring of the application of a certain service, indeed thereby being strong in practicability and easy to popularize.

Description

[0001] technical field [0002] The invention relates to the application field of cloud technology, in particular to a service monitoring method based on a cloud resource monitoring platform. Background technique [0003] 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 when monitoring key and important businesses, traditional business monitoring methods can no longer meet the usage requirements, and the monitoring results are inaccurate and too one-sided. When business problems arise, it is impossible to accurately judge and...

AI Technical Summary

Problems solved by technology

[0003] 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 when monitoring key and important businesses, traditional business monitoring methods can no longer meet the usage requirements, and the monitoring results are inaccurate and too one-sided. When business problems arise, it is impossible to accurately judge and locate them. Cause of business problems

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