Reactive Microservices Architecture Using a Framework of Fault Tolerance Mechanisms

In Cloud Computing, microservices have been recently introduced for enabling the development of large-scale structures, which are scalable, agile and especially suitable for meeting the emerging demands. The asynchronous communication has facilitated using reactive system which managed in interaction challenges and even variation of load in modern systems. There are certain features of microservices like elasticity and resilience have considered for messages can be progressed through Reactive Microservices (RM) which consists of segregated components over event stream that can able to perform individually or shown with various microservices for reaching the event at final stages. The reactive principle in microservices have involved for individual possibility in every microservice components reference architecture include the components of microservices, which have the ability to develop, release, organize, scale, upgrade and retired individually. It has infused the necessary redundancy into the network for avoiding failure cascading, which maintains the system reactive in case of any failure. This paper has explored the RM architecture application and provides insights by assisting in reducing the developing demand to create resilient and scalable systems. The basic use case of microservice framework implementation has been illustrated by Vert.x, which act as the general toolkit to create RM and also the performance of both reactive and nonreactive implementation are compared as an alternate. The performance comparison can reveal how RM performs better than non-reactive microservices.