The Impact of Microservices Architecture on System Scalability

Abstract

This article analyzes the impact of microservices architecture on the scalability of information systems, drawing on theoretical foundations, practical experience from large-scale transitions (with a focus on Netflix as a case study), and contemporary performance optimization methods. The study includes a comparative analysis of monolithic and microservices-based approaches, highlighting the advantages of independent scalability, fault tolerance, and development flexibility. The methodology combines comparative analysis of publicly available research, case studies, and the evaluation of caching, load balancing, containerization, and monitoring tools. The findings show that integrating microservices architecture with modern management technologies significantly enhances the efficiency of distributed systems—an outcome that is increasingly vital to the advancement of the digital economy. The material presented will be of interest to researchers in the field of distributed computing, software architects, and IT infrastructure specialists seeking to improve system scalability through the adoption of microservices. The publication may also appeal to graduate students and professionals aiming to conduct in-depth theoretical and engineering analyses of dynamic, flexibly scalable solutions for modern computing systems.