Index data acquisition method and device of cloud platform and storage medium

Abstract

The invention discloses an index data acquisition method and device of a cloud platform and a storage medium. The method comprises the steps of obtaining a query demand; determining a to-be-queried target platform index and a corresponding logic processing rule according to the query demand; generating a dynamic multi-way tree corresponding to the cloud platform according to the target platform index and a corresponding logic processing rule; wherein the dynamic multi-way tree comprises a structure tree corresponding to at least one target platform index; and determining result data of the target platform index according to the dynamic multi-way tree. According to the invention, index data acquisition is carried out according to the constructed structure tree of the platform indexes, the logic process of index data acquisition is simplified, and the acquisition mode is more flexible.

Description

technical field [0001] The present invention relates to cloud computing technology, in particular to a cloud platform index data collection method, device and computer-readable storage medium. Background technique [0002] With the development of cloud computing technology, customers put more and more services on the public cloud platform, and users have a need to monitor the status of services deployed on the cloud platform. In order to solve the problem that users can grasp the service status, the public cloud platform needs to be able to complete indicator data collection based on an adaptive index collection system and provide the data to users, such as cloud host memory usage, cloud host disk input and output (IO), etc. data. [0003] In the prior art, for the collection system based on hard collection, the index processing logic needs to be preset in the system development, which directly calls the interface or file to obtain the corresponding index for warehousing op...

AI Technical Summary

Problems solved by technology

[0003]In the existing technology, based on the collection system of rigid collection, the index processing logic needs to be preset in the system development, which directly calls the interface or file to obtain the corresponding index for storage The operation is simple to implement, but it does not have the dynamic processing logic, and cannot perform dynamic logic processing according to the indicator requirements, and cannot meet the cloud platform's dynamic new indicator requirements.

As the cloud platform collects more and more index items, this method does not have scalability and flexibility, resulting in a bloated collection system that cannot meet the ever-expanding cloud platform; when new performance indicators need to be added, the collection system needs to be modified to complete The collection of new indicator data is cumbersome and inefficient

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