Elastic telescopic service triggering method, device and apparatus and readable storage medium

Abstract

The invention discloses an elastic telescopic service triggering method. The method comprises the following steps: receiving an instruction for triggering an elastic telescopic service sent by a monitoring service; obtaining an ID of the elastic telescopic service and a receiver object corresponding to the elastic telescopic service through the target interface; packaging the receiver object intoan elastic scaling service to obtain return data corresponding to the elastic scaling service; and sending the return data to the monitoring service, so that the monitoring service triggers the elastic scaling service according to the return data. The ID of the elastic telescopic service and the receiver object corresponding to the elastic telescopic service can be directly obtained through the target interface, so that the communication consumption in the elastic telescopic service triggering process is reduced, and the triggering efficiency of the elastic telescopic service is improved. Correspondingly, the invention also discloses an elastic telescopic service triggering device and apparatus and a readable storage medium, which also have the above technical effects.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method, device, device and readable storage medium for triggering an elastic scaling service. Background technique [0002] Auto scaling service (Auto Scaling) is based on the user's business needs, the system automatically adjusts the service of its business resources through the user's pre-configured rules, and expands the number of hosts horizontally, thereby reducing the need for artificially adjusting resources repeatedly to cope with business changes and peak pressures workload, helping users save resources and labor costs. The Senlin module of the Open stack community can satisfy this function very well. Senlin is the name of the auto scaling group project. [0003] During the triggering process of the community version of the elastic scaling service, the monitoring service needs to first obtain the ID of the elastic scaling service through an interface...

AI Technical Summary

Problems solved by technology

However, because there are too many monitoring items in the monitoring service, and one elastic scaling service can correspond to multiple receiver objects, the consumption of computer resources is relatively large, which reduces the triggering efficiency of the elastic scaling service and wastes computer resources.

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