A Survey on Microservices Use Cases for AI based Application on Hybrid Cloud

Abstract

As the number of clients who use the application increases, various developers and providers are paying more attention to determining the internal structure of the service in order to provide a suitable service. In particular, when AI is built-in within a service, there is a clear limit to operating the service on a single server to embed complicated computation and automated model building and execution. In this paper, we investigated cases of using a hybrid cloud-based virtualization platform to effectively provide AI-based services to huge users. Most service providers have adopted a hybrid cloud based on Kubernetes, which demonstrates the use of automation of AI computation and elaborate orchestration of microservices.