REVIEW AND ANALYSIS OF DATA PROCESSING INFORMATION TECHNOLOGIES IN THE COURSE OF MODERN COMPUTER SCIENCE

Abstract

The article provides a comprehensive analysis of modern architectural approaches to software development using cloud technologies in the context of growing demands for scalability, fault tolerance, and security of information systems. It substantiates the relevance of the transition from traditional local deployment models to cloud environments that provide flexible resource management, elastic scaling, and cost optimization. It considers the evolution of cloud service delivery models (IaaS, PaaS, SaaS) and determines their impact on the formation of architectural solutions. Key architectural paradigms are analyzed, including monolithic, microservice, containerized, and serverless architectures. They are compared in terms of scalability, performance, fault tolerance, management complexity, and information security. Particular attention is paid to the role of containerization, resource orchestration, deployment automation, and the implementation of DevOps practices as important components of the modern cloud ecosystem.

The paper proposes a generalized model for evaluating architectural approaches, which allows comparing technical characteristics with practical requirements for software systems of various scales and purposes. The conditions for the feasibility of each approach are determined depending on the specifics of the project, the predicted load, and resource constraints. The results of the study can be used in the design, modernization, and optimization of software systems in a cloud environment, as well as in scientific research aimed at developing architectural design methodologies in the context of digital transformation. further development of scientific research in the field of cloud architectures will contribute to improving the efficiency, reliability, and adaptability of modern software systems in the context of global digital transformation.