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GeoServer 3.0.0 Released: A Major Overhaul After Seventeen Years of 2.x

GeoServer is one of the most established and widely used map servers in the open-source GIS domain, serving OGC standard services such as WMS, WFS, and WCS. In China, many government "one-map" platforms, land survey systems, emergency command projects, and classic WebGIS stacks like PostGIS + OpenLayers often rely on it. On June 11, 2026, the GeoServer team officially released version 3.0.0 – the first major version upgrade in years since the 2.x era.

This release is not just a patch-up; it brings a brand-new administration interface, modular architecture adjustments, and a range of new capabilities aimed at cloud-native data formats. If you are planning an upgrade or technology selection, we recommend a careful evaluation.

PS: Major version upgrades usually involve extension migration and configuration changes. In production environments, be sure to run a full regression test on a staging node, paying special attention to custom extensions, security authentication, and tile caching configurations.

GeoServer 3.0.0 screenshot

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GeoServer 2.28.4: Security Fixes and Operational Improvements

GeoServer is an open-source map server under OSGeo, playing a core role in WebGIS systems for spatial data publishing and OGC standard services. Whether it is classic services like WMS, WFS, WCS, or integration with data sources such as PostGIS, Shapefile, and GeoTIFF, GeoServer remains a common choice in many domestic government, land, emergency, and other industry projects.

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Implementing Lightweight Choropleth Mapping with Colormap.js

When creating thematic maps in ArcGIS or QGIS, thematic coloring (choropleth mapping) is a common technique where different regions are colored according to their data values, revealing spatial patterns. Recently, our management requested integrating this functionality into our business system. While we could publish pre-rendered maps from ArcGIS/QGIS through servers like GeoServer, this lightweight feature doesn't warrant heavy infrastructure. Instead, I explored coloring GeoJSON features directly and discovered colormap - an elegant solution.

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