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UID:pretalx-foss4g-europe-2026-L3YPNX@talks.osgeo.org
DTSTART;TZID=EET:20260629T150000
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DESCRIPTION:The volume of data to be processed and published continues to g
 row rapidly\, particularly in domains such as maritime monitoring\, where 
 continuous streams of AIS data must be ingested\, processed\, and visualiz
 ed. At the same time\, the infrastructure\, technologies\, and methodologi
 es required to manage these data streams are steadily advancing and maturi
 ng. GeoServer\, an open-source web service for publishing geospatial data\
 , supports industry standards for vector\, raster\, and map delivery\, and
  is widely used by organizations to disseminate geospatial information at 
 scale.\n\nIn this work\, we integrated GeoServer with established big data
  technologies\, including Apache Kafka and Databricks\, deploying the solu
 tion on Microsoft Azure. The resulting architecture is designed to support
  demanding maritime use cases\, enabling near real-time visualization of i
 ncoming AIS data while also supporting large-scale batch processing and an
 alysis of historical datasets.\n\nThis presentation describes the system a
 rchitecture and the key challenges addressed by GeoSolutions in publishing
  high-volume\, high-velocity data through GeoServer’s OGC services (WMS\
 , WFS\, and WPS). Particular attention is given to achieving an effective 
 balance between data ingestion throughput and visualization performance. T
 he solution integrates with a streaming processing platform responsible fo
 r ingesting\, transforming\, and storing data in an Azure Data Lake\, allo
 wing GeoServer to efficiently query the most recent features while enforci
 ng complex authorization policies. To meet these requirements\, several cu
 stom GeoServer extensions were developed\, addressing advanced authorizati
 on scenarios\, specialized styling needs for maritime data\, and seamless 
 integration with big data platforms.
DTSTAMP:20260605T011141Z
LOCATION:A02
SUMMARY:Operating Maritime AIS at Enterprise Scale with GeoServer - Andrea 
 Aime\, Nuno Oliveira
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/L3YPNX/
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