Open-source, serverless web-mapping:Case Study for the Agriculture Industry

DESCRIPTION

Technology advances in cloud computing and open-source software are driving GIS developments and modernizations. At the same time, the agriculture industry is being inundated from a range of sources with data often containing a geospatial component. There is a need for modern GIS solutions to manage and visualize the growing data. Industry drivers mandate affordability and scalability. By updating the traditional web-mapping software architecture to a serverless cloud computing model, the need for infrastructure provisioning disappears. Designed to run on a cloud computing platform, this project was built using only readily-available cloud computing services and open-source code libraries. The application engine runs entirely on serverless functions. The new cloud-native, web-mapping application returns ownership of the application code to the users. This cost-effective, low maintenance, and reproducible approach benefits an industry in need of a spatial data insights solution.

PRESENTER(S)

Based in Austin, TX, Amy Farley is a Software Architect/Geospatial Technologist with 20+ years of experience in object-oriented design and web application development. AMy's experience includes developing web mapping applications using open-source frameworks; AWS and GCP cloud computing experience including software and infrastructure migration projects.

Amy's Graduate research work included open-source, serverless computing architectures for geospatial/web-mapping solutions.

View her full professional profile at https://www.linkedin.com/in/amylfarley/

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