Vue+SpringCloud-based cloud platform

Abstract

The invention discloses a Vue+SpringCloud-based cloud platform. The cloud platform is characterized by adopting a front-end and rear-end separation mode. The front end of the platform comprises a foreground system and a background system which respectively run in two processes. The rear end of the platform comprises a system bottom layer. The foreground system comprises a plurality of applicationmodules used for providing functional services for users. The background system comprises a plurality of application modules used for audit of administrators and qualification authentication of the users, and a micro-service architecture is adopted among the application modules of the front-end system. The rear end comprises a system bottom layer, and the system bottom layer comprises a database,a cache database, a reverse proxy server and a file server. According to the method, the defects of the single application can be overcome through the micro-service, the micro-service is that the whole single application is split into a plurality of modules. The loose coupling between the modules is achieved. The high cohesion is achieved in the service. Therefore, the micro-service can focus on making one module, and other modules do not need to be concerned during upgrading iteration.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a cloud platform based on Vue+SpringCloud. Background technique [0002] But in the current service platform, there are usually some problems. The first point is that the cost of testing is high. In a single application, all functions are integrated. If the code system is modified somewhere, it may affect the entire system. Therefore, testers cannot accurately find the points that need to be tested. The whole system is tested again, which increases the cost of testing. The second point is that the scalability is poor. The monolithic application is highly cohesive. Assuming that there are many modules in an e-commerce system, if the order volume is relatively large, we should do horizontal expansion to cluster the order modules. However, due to the monolithic architecture The limitation is that it is impossible to cluster one of the modules, only the whole system can b...

AI Technical Summary

Problems solved by technology

The first point is that the cost of testing is high. In a single application, all functions are integrated. If the code system is modified somewhere, it may affect the entire system. Therefore, testers cannot accurately find the points that need to be tested. The whole system is tested again, which increases the cost of testing

The second point is that the scalability is poor. The monolithic application is highly cohesive. Assuming that there are many modules in an e-commerce system, if the order volume is relatively large, we should do horizontal expansion to cluster the order modules. However, due to the monolithic architecture The limitation is that it is impossible to cluster one of the modules, only the whole system can be clustered

The third point is poor reliability. If a bug or memory overflow occurs inside a single system, it will directly cause the entire system to go down.

The fourth point is that it is difficult to upgrade and iterate. Nowadays, user needs are complicated, and single applications have been changed again and again, resulting in more and more bloated systems, and each module is directly highly cohesive. Modifying one module may cause another module to appear question

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