pygeoapi is an OGC Reference Implementation supporting numerous OGC API specifications. This workshop will cover publishing geospatial data to the Web using pygeoapi in support of the suite of OGC API standards.

This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain.

Walk through of Helm charts and horizontal scaling approaches for GeoNetwork in Kubernetes, covering volume pitfalls like wro4j cache configurations, plus Locust benchmark techniques for user access testing

Workflow demonstration converting 20GB+ raster datasets like GEDTM30 global DEM to H3 hexagonal grids at resolution 12. Complete pipeline uses GDAL, DuckDB, and GeoParquet for QGIS visualization. Benefits include eliminated projection boundaries, consistent global coverage, and scalable OGC REST API with O(1) retrieval performance for modern cloud-native workflows

Most OGC services are deployed with only functional testing, leading to failures under real user loads. Our open-source Locust framework generates realistic geospatial requests with random bounding boxes and dynamic coordinates for proper load testing