Architectural Models for Building Scalable SaaS Platforms for the Automation of Corporate Business Processes

Kodirov Shokhrukh

Citation: Kodirov Shokhrukh, "Architectural Models for Building Scalable SaaS Platforms for the Automation of Corporate Business Processes", Universal Library of Innovative Research and Studies, Volume 01, Issue 02.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The rapid expansion of the global Software-as-a-Service (SaaS) market, which exceeded USD 358 billion in 2024 and is projected to reach USD 1.25 trillion by 2034, has made the problem of selecting optimal architectural models for the development of corporate automation platforms especially pressing. This article is devoted to a comparative analysis of the principal architectural patterns of scalable SaaS platforms-monolithic, microservices-based, event-driven, and serverless-from the standpoint of their applicability to the automation of corporate business processes. The methodological foundation of the study consists of a systematic literature review based on IEEE Xplore, ACM Digital Library, and Springer, a comparative analysis of architectural solutions, and a case-study method grounded in practical data from production systems. The findings indicate that a hybrid multi-layer architecture combining microservice decomposition with event-driven integration delivers the most balanced combination of scalability, fault tolerance, and operational efficiency: the time required for financial calculations was reduced from several days to several minutes, while content verification costs decreased by 98%. The author’s concept of Adaptive Multi-Layer SaaS Architecture (AMSA) is proposed as a practically validated model for the corporate sector. The materials presented may be useful for systems architects, CTOs, and researchers working in the field of cloud computing.


Keywords: SaaS Platform, Scalable Architecture, Microservices, Multi-Tenancy, Business Process Automation, Cloud Computing, Event-Driven Architecture, Corporate Information Systems, AI Automation, Horizontal Scaling.

Download doi https://doi.org/10.70315/uloap.ulirs.2024.0102013