Reactive Microservices Architecture Using a Framework of Fault Tolerance Mechanisms

Abstract—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.