Dig into three cloud-native raster formats—COGs, Zarr, and Kerchunk—and learn how data access works under the hood with hands-on Python exercises, no image libraries required!

Dig into geospatial vector formats—including GeoJSON, WKT/WKB, and cloud-native GeoParquet—using Python to see in detail how vector features are stored in each format and to understand what cloud-native means for vector data.

Zarr is gaining traction in geospatial workflows—but is it replacing COG, complementing it, or something else entirely? We’ll unpack the formats’ shared foundations, explore their tradeoffs, and offer a path toward better community guidance, tooling, and support.

A retrospective on building cirrus, a cloud-native framework for building STAC-based data orchestration pipelines. We'll look at the design and architecture evolution over five years of development and some lessons learned adapting to ecosystem and requirement changes.

Object storage gave us scale, durability, and low cost–the foundation of cloud-native geospatial. But what if it’s also our biggest problem? This talk explores why the object model fails multidimensional datasets, and how the Coalesced Chunk Retrieval Protocol could restore seamless user experience at cloud scale.

Explore STAPI, a specification for a Sensor Tasking API. We’ll highlight recent developments, showcase the open-source projects being developed in the ecosystem, and share the community's vision of increased interoperability driving the next generation of geospatial workflows.