Historically, enterprise-class geospatial application architectures have generally relied on computationally intensive and ponderous server-side databases, webservers, and software platforms for data processing and retrieval. Traditional architectures for simple web-based GIS applications have required the use of expensive multi-server configurations that require ongoing maintenance. With the ascension of the public cloud, however, a plethora of native sotrage, compute, content delivery services and design patterns are available to build robust and scalable applications at lower costs. This presentation will provide an overview of how to leverage common cloud services to develop serverless applications and a synopsis of several case studies where this approach facilitated delivery of more sustainable dynamic geospatial analytics and interoperability solutions. This presentation is aimed at educating geospatially-oriented technical and management audiences about modern cloud-native design patterns that facilitate the use of and deployment of lower-cost lightweight open source applications.