Designing Distributed, Scalable and Extensible System Using Reactive Architectures

Digital technologies are reshaping our world and are becoming an integral part of our being. It became obvious that in modern days digitalization in each industry is an irreversible process and the speed of adopting of such kind of technologies in an appropriate manner will determine the evolution and survival of any business. Digital technologies play a crucial role in any domain of our life: from simple everyday activities, to such important domains like security, safety and health. We are the witnesses of so-called "Industry 4.0 Revolution" which is dominated by Artificial Intelligence and Cloud Architectures with related technologies. When we think about big change or (r) evolution, we are looking mostly for advantages only, but don't care about challenges and what is happening under the hood. The truth is that "reality is distributed" and the things are getting more complex with each passing day. The information systems are dealing with more and more (huge) amount of data, nevertheless, a quick response (in milliseconds) is expected and no downtime is accepted. In this context, the challenges consist first of all in designing and implementing a reliable (doing well what it was designed for), performant (quick reaction time), low-overhead (non-blocking and optimal use of resources) and flexible (adding new features with minimal effect upon production environment) systems. To implement a system with such kind of features a specific programming models need to be used. In this paper is proposed an architectural approach aimed to ensure scalability and extensibility of a distributed information systems using not fresh, but still very actual concept like Actor Model and REST. Modern Event-Driven, Asynchronous and non-blocking programming models are used.