Cloud service performance monitoring method, device, storage medium and program product

By acquiring and analyzing the performance data and attribute value combinations of cloud service equipment, combining the preset attribute value combinations and performance baseline relationships, the performance monitoring results of cloud services under different processor architectures are determined, which solves the problem of high performance monitoring costs of cloud service and achieves efficient performance baseline operation and maintenance.

CN119046120BActive Publication Date: 2025-03-28ALIBABA CLOUD COMPUTING CO LTD
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Patent Information

Application Number
CN202411516367.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-29
Publication Date
2025-03-28
Estimated Expiration
2044-10-29

AI Technical Summary

Technical Problem

The performance of cloud services varies greatly under different processor architectures, resulting in a surge in operation and maintenance costs for cloud service performance monitoring.

Method used

By obtaining the performance data of multiple service devices and their combination of target attribute values ​​in the target performance impact dimension, the target performance baseline is determined based on the correspondence between the preset attribute value combination and the performance baseline, and the performance monitoring results of cloud services under the combination of multiple target attribute values ​​based on the performance data and target performance baseline.

Benefits of technology

The performance baseline operation and maintenance logic is realized that compatible with the different impacts of multi-dimensional performance factors on cloud service performance, reducing the operation and maintenance cost of performance baseline.

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Abstract

The embodiment of the present application provides a performance monitoring method, device, storage medium and program product for a cloud service. In the embodiment of the present application, by pre-setting the corresponding relationship between the attribute value combination of the cloud service in multiple performance impact dimensions and the performance baseline, the performance impact difference of the cloud service from multiple performance impact dimensions is maintained, and a set of performance baseline operation and maintenance logic is realized to be compatible with the performance impact difference of the multi-dimensional performance impact factors on the cloud service, without having to maintain a set of performance baselines separately for each attribute value of each performance impact dimension, which can reduce the operation and maintenance cost of the performance baseline.
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