Managing a small computer cluster for teaching and research can overwhelm IT departments, especially in resource-limited institutions. Current automation tools often fail to meet diverse needs across disciplines, such as running machine-learning experiments and supporting interactive code development. Infrastructure as Code (IaC) offers a way to streamline management through automated configuration and deployment, but it has limitations in dynamic environments where user and VM configurations change frequently. To address this, we propose a platform that combines IaC principles with a relational database, that allows dynamic management of resources and users.