A probabilistic approach for obtaining an optimized number of services using weighted matrix and multidimensional scaling

While migrating from Monolith to Microservices architectural style, it is often confusing to define service boundaries. This paper describes a probabilistic technique to define the services on a Monolithic system considering three major aspects — update rate, scaling rate, and technology diversity necessary to realize each service properly. To do so, we have used the weighted matrix and Multidimensional Scaling (MDS). This technique helps to define an optimal number of services for implementing the system in the Microservices Architecture. This paper will be useful for organizations trying to migrate from Monolithic System to Microservices.