This document discusses leveraging AWS services for geospatial workloads. It outlines how AWS can help reduce licensing costs, leverage cloud scale for geospatial needs, and stop moving large amounts of data between locations. The document provides examples of architectures using AWS services like S3, RDS, Route53, CloudFront, and Lambda for storing geospatial data and tiles, processing imagery, and building applications on top of the data. It encourages sharing data in the cloud rather than copying silos over.