A No Code Approach to Infrastructure Provisioning in Support of Science

Communications infrastructures and compute resources are critical to enabling advanced science research projects. Science cyberinfrastructures must meet clear performance requirements, must be adjustable to changing requirements and must facilitate reproducibility. These characteristics can be met by a programmable infrastructure with guaranteed resources such as the BRIDGES infrastructure enabling cross Atlantic research projects. While programmability should be a foundational design principle for research cyberinfrastructures, by itself might not be sufficient to enabling scientists who have no or limited experience with advanced IT technologies operate their testbeds independent of IT support teams. The trend of offering “no code” platforms enabling users without IT core competency to achieve business goals should manifest itself in the context of research and educational infrastructures as well. In this paper we describe the architecture of a “no code” platform which would enable scientists to easily configure and modify a programmable infrastructure by using a large language model-based interface integrated with the composable services language of the infrastructure. The BRIDGES testbed is used as an example for such an integration where the functionality benefits projects operated by large, diverse teams.