A Scalable Cloud Native Platform For Interactive Museum Exhibits

Paul Cappaert, Alexander Redei
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Abstract

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 first 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 traffic 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 efficacy of our solution. Future testing is outlined in collaboration with the Fleischmann Planetarium through a trial experiment with museum visitors.
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交互式博物馆展品的可伸缩云原生平台
有亲身体验和互动展览的科学博物馆正在兴起。随着博物馆的发展,需要有一个在线平台,让游客在一天的参观之后继续他们的体验。在本文中,我们首先简要介绍了构建可伸缩云原生软件框架的技术。为了实现低成本和持久化用户数据,我们使用Heroku和postgres构建了一个django应用程序。这个平台可以按需横向扩展,以处理高度变化的用户流量,从而增强博物馆的体验。由于关注教育体验,参与者在博物馆的活动进度通过我们构建的API保存,并可在网站上查看。博物馆的不同活动为API生成数据,这些数据可以在任何地方查看。模拟数据被加载到我们的框架中,以验证我们的解决方案的有效性。未来的测试将与Fleischmann天文馆合作,通过博物馆游客的试验来概述。
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