A scalable cloud native platform for interactive museum exhibits

Science museums with hands-on and interactive exhibits are on the rise. As museums grow, the need arises to have an online platform to allow visitors to continue their experience beyond a day visit. In this paper, we _rst provide a brief survey of techniques for building scalable cloud native software frameworks. In order to achieve low cost and persist user data, we built a django application using Heroku and postgres. This platform can be scaled horizontally on-demand to handle highly variant user tra_c for augmenting the museum experience. With a focus on educational experiences, a participant's progress on activities at the museum are saved through an API we built and can be viewed on a website. Different activities at the museum generate data for the API which can be viewed anywhere. Simulated data was loaded into our framework to validate the eficacy of our solution. Future testing is outlined in collaboration with the Fleischmann Planetarium through a trial experiment with museum visitors.