The success of application migration to cloud depends on multiple factors such as achieving expected performance, optimal cost on deployment, data security etc. The application migration process starts with the architecture design, mapping technical and business specifications to the appropriate services in cloud. However, cloud vendors offer numerous services for each service type and requirement. The onus of selecting the optimal service from the pool lies with the user. Identifying an optimal service for a specific component or application requirement is a daunting task and necessitates a deep understanding of each cloud service offered. This paper introduces SuperArch, a supervised architecture design tool designed to facilitate optimal selection and configuration of cloud services. We propose utilization of Large Language Models (LLM) for extracting information from user requirements and specifications, aiding in optimal selection of cloud services. Additionally, SuperArch maps workloads to the cloud services to generate optimal configurations of the cloud service and estimate performance and cost of the entire architecture.
