Service offline method, device, electronic device and storage medium

Abstract

The present disclosure provides a service offline method, apparatus, electronic device, and storage medium, wherein the method includes: according to an aspect of the present disclosure, provides a service offline method, including: according to a received service invocation request , determine the target interface corresponding to the service invocation request; obtain a list of online service instances and a list of service instances to be offline of the target interface; perform a difference set operation on the list of online service instances and the list of service instances to be offline , determine a list of available service instances of the target interface; determine a target service instance from the list of available service instances, and forward the service invocation request to the target service instance. This solution can ensure that service offline will not cause damage and impact on business traffic, and achieve graceful service offline.

Description

Technical field [0001] The invention involves the field of computer technology, especially for a service offline method, device, electronic equipment and storage medium. Background technique [0002] Computing resources such as CPU, memory, and GPU have always been the very important software and hardware computing resources in the business interface call management platform (PLATFORM As AsSservice (PaaS). Especially when serving hundreds of millions of calls serving the enterprise level, the business treats resources during the peak period. The amount of usage is usually several times, but the peak period is relatively short. In order to ensure the availability of the system service at the peak of various business at the peak of various businesses, a large number of machine resources must be invested according to the requirements of the peak period. In this way, a large amount of resources were wasteful in the low peak period, so service telescopic technology came into being. ...

AI Technical Summary

Problems solved by technology

[0002] Computing resources such as CPU, memory, and GPU have always been very important software and hardware computing resources in the business interface call management platform (Platform as aService, PaaS). The usage is usually several times that of normal times, but the peak period is relatively short. In order to ensure the availability of system services in various business peaks and extreme situations, a large amount of machine resources must be invested in the deployment according to the requirements of the peak period. In this way, a lot of resources are wasted during the off-peak period, so the service scaling technology emerges as the times require

[0003] At present, in the related technologies, the use of service scaling technology can basically not damage the business traffic when expanding the capacity, but the damage to the traffic is relatively large when the capacity is reduced, and it is difficult to achieve an elegant service reduction

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