COMPARATIVE ANALYSIS OF MICROSERVICES AND MONOLITHIC ARCHITECTURES: EVALUATING PERFORMANCE, ECONOMIC SUSTAINABILITY, AND HUMAN FACTORS IN THE 2025–2026 ECOSYSTEM

Abstract

This research provides a comprehensive longitudinal evaluation of the architectural trade-offs between monolithic and microservices paradigms within the contemporary software development landscape. As organizations navigate the "Great Microservices Reversal" of 2025–2026, this study utilizes a dual-methodology approach—integrating a validated prototype migration ("ShoppingCart") with a systematic literature review (SLR) of 24 major industry studies—to quantify impacts on technical performance, economic efficiency, and developer experience (DevEx). The findings indicate that while microservices offer a 36% improvement in response times under high-stress conditions, they impose a "latency tax" of 10–50ms per internal network hop and a 132% increase in monthly Total Cost of Ownership (TCO). Furthermore, a randomized controlled trial (RCT) reveals an AI productivity paradox: Generative AI tools increased task completion time by 19% in complex distributed environments. This report concludes with a strategic decision framework that recommends a "Monolith-First" approach for organizations with fewer than 50 engineers to ensure long-term operational sustainability.