A scalable cloud native platform for interactive museum exhibits

Paul Cappaert, Alex Redei

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)383-392
Number of pages10
JournalEPiC Series in Computing
StatePublished - Mar 9 2020
Event35th International Conference on Computers and Their Applications, CATA 2020 - San Francisco, United States
Duration: Mar 23 2020Mar 25 2020


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