Deploying and operating GeoServer: a DevOps perspective
2021-09-29, 16:30–17:00, Humahuaca

In this presentation we will share with you the lessons we have learned at GeoSolutions when deploying and operating GeoServer as well as some common patterns for the migration of on premise GeoServer clusters to the cloud. We'll share with you tips on how to:
- best practices to migrate your existing GeoServer cluster to the cloud
- insights on your geoserver cluster using centralized logging and Monitor plugin
- avoid common bottlenecks to best set up a distributed scalable GeoServer cluster
- work containers and container orchestrators like Kubernetes


Cloud computing is revolutionizing the way companies develop, deploy and operate software and GeoSpatial software is no exception. With benefits of cloud based deployments range from cost savings to simplified management, flexibility, lower downtime and scalability of dynamic environments it is easy to understand why more and more companies are migrating their on premise systems to the cloud but cloud based setups have their own set of hurdles and challenges.
The migration of the series itself can be challenging. Monitoring, debugging and scaling of applications are very much different than what you are used to.

In this presentation we will share with you the lessons we have learned at GeoSolutions to tackle these problems and share some common patterns for the migration of on premise GeoServer clusters to the cloud. We'll share with you tips on how to: * best practices to migrate your existing GeoServer cluster to the cloud
- insights on your geoserver cluster using centralized logging and Monitor plugin
- avoid common bottlenecks to best set up a distributed scalable GeoServer cluster
- work containers and container orchestrators like Kubernetes


Authors and Affiliations

Alessandro Parma (1)
Luca Pasquali (1)

(1) GeoSolutions Group (https://www.geosolutionsgroup.com)

Track

Software

Topic

New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis

Level

2 - Basic. General basic knowledge is required.

Language of the Presentation

English

Senior DevOps Engineer @ GeoSolutions S.A.S. he designs and implement geospatial systems based on GeoServer and other great open source projects.