This article presents a new scalable system for automated modeling of physical processes and experiment management based on microservice architecture and cloud technologies. The proposed platform addresses the growing need for flexible, cost-effective, and highly scalable computational solutions for physical research. The system utilizes Amazon Web Services cloud infrastructure with containerized microservices to provide automated resource allocation, experiment orchestration, and laboratory equipment integration. Key components include computational engines for numerical methods, visualization services, resource managers, and laboratory automation interfaces. Performance evaluation shows a 60% reduction in computational time and 45% cost savings compared to traditional approaches. The platform supports multiple physical domains, such as electromagnetic modeling, thermal analysis, and mechanical simulations.
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