Jose Macchi

GeoServerCloud might seem complex, but it doesn’t have to be. In this presentation, we’ll show you how to get started easily and without headaches, leveraging its flexibility and scalability without needing to be a DevOps expert.

Overture Maps provides a rich source of open geospatial data, but how can we harness its full potential within GeoServer without the complexity of local data management? In this presentation, we will explore how Overture Maps can be seamlessly integrated as a direct data source i…

This presentation showcases a powerful architecture for dynamically consuming Overture Maps data at scale, without requiring local storage. By placing a robust mapping solution—GeoServer Cloud—at the forefront, we enable not only efficient and parallelized access to Overture Maps through distributed WFS services but also the ability to enrich data access with advanced business logic.

The integration of Artificial Intelligence (AI) into various operational and strategic sectors marks a significant shift in the way data is managed and analyzed.

In this presentation, we will explore a practical example of using GeoServerCloud within a local cluster, specifically focusing on catalog configuration in the database. We'll simplify the complex process of deploying an application in a Kubernetes cluster using Helm.

Get your preferred OSM dataset (ie. country) running in a local Geoserver instance with only 2 commands and avoid any dependence on an external provider. Simple, fast, clean solution. Lowering the barrier to entry to geospatial technology use and development.