07-17, 14:50–14:55 (Europe/Sarajevo), SA01
In the realm of geospatial data management, GeoNode stands out as a robust open-source platform [1]. However, deploying and scaling GeoNode can present challenges, especially in dynamic environments. To address these challenges, the German GeoNode User Group has developed and maintains GeoNode-K8s, a Kubernetes Helm chart tailored for GeoNode deployments [2]. This tool streamlines the deployment process, offering scalability and resilience through Kubernetes orchestration. In this lightning talk, we will:
Introducing GeoNode-K8s and its core features.
Demonstrate the deployment process using the Helm chart.
Discuss the advantages of leveraging Kubernetes for GeoNode, including improved scalability and simplified management.
Attendees will gain insights into how GeoNode-K8s can enhance their geospatial data infrastructure, making deployments more efficient and adaptable to varying workloads.
This talk is designed for geospatial professionals and developers interested in modernizing their GeoNode deployments using container orchestration technologies.
References:
[1] https://github.com/geonode/geonode - GeoNode Official Repository
[2] https://github.com/GeoNodeUserGroup-DE/geonode-k8s - GeoNode-K8s GitHub Repository
GeoNode (https://github.com/GeoNode/geonode)
GeoNode - Kubernetes (https://github.com/GeoNodeUserGroup-DE/geonode-k8s)
2 - background knowledge helpful
Select at least one general theme that best defines your proposal –State of software, or new features
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 – yes
Hello, I'm Marcel, a software developer from the countryside.
I have a passion for Linux and have been programming since I first encountered it and software development in 2007. Over the years, I've worked on various projects, both big and small, for personal use and for the wider community. I'm a proud member of the free software community, as I believe it offers a wonderful opportunity to collaboratively tackle technical and social challenges with others.
I am part of the Research Data Management (RDM) team at the Leibniz Centre for Agricultural Landscape Research (ZALF) in Müncheberg. ZALF is dedicated to studying the complex interactions within agricultural landscapes to promote their sustainable use. Within the RDM team, I focus on GeoNode, JupyterHub, OpenDataCube, and Kubernetes. You can find me on GitHub as @mwallschlaeger.