Cloud-Native Geospatial

Purpose

Frame the engineering principles behind geospatial systems that read, process, and publish data directly from object storage and other cloud-native infrastructure.

Outline

• Cloud-native access patterns for large raster, vector, and catalog datasets
• Tradeoffs between local downloads, streaming reads, and server-side processing
• How tiling, chunking, indexing, and metadata layout affect performance
• System boundaries between storage, catalogs, compute engines, and user-facing applications
• Reliability concerns for scalable geospatial workflows, including retries, caching, and reproducibility

Later Examples

• A reference architecture for cloud-hosted imagery analysis
• Comparing access patterns for interactive maps and batch processing
• Checklist for evaluating whether a geospatial dataset is cloud-native in practice