2026-09-02 –, Conference Management Room1
This talk explores how cloud-native principles- combined with STAC, COGs, and TiTiler - enable dynamic, scalable, expression-driven raster workflows without precomputing products.
For years, raster workflows in GIS and Earth Observation followed a familiar pattern: preprocess everything. Generate pyramids, compute indices, create static XYZ tiles, store derived rasters, and repeat for every visualization or analysis need.
At small scale, this works. At cloud scale, it breaks.
As datasets grow - multi-temporal scenes, multi-sensor collections, higher resolutions - preprocessing pipelines become expensive, slow, and storage-heavy. Experimentation slows down. Storage multiplies unnecessarily.
In this session, we will:
- Understand what “cloud-native” really means
- Explore how TiTiler enables dynamic rendering
- Discuss scaling considerations and performance trade-offs
- Share practical lessons from building dynamic raster APIs
This talk is aimed at engineers, GIS developers, and analysts modernizing geospatial infrastructure - and anyone who wants to rethink how raster data should be served
Titiler and STAC
I make my conference contribution available under the CC BY 4.0 license. The conference contribution comprises the abstract, the text contribution for the conference proceedings, the presentation materials as well as the video recording and live transmission of the presentation:
Geospatial Engineer, working with hyperspectral imagery, geospatial data processing, and automation, while bridging the gap between software engineering and geospatial solutions. Passionate about open-source geospatial technologies, automation, and building scalable geospatial solutions.