Service Package

DevSecOps Pipeline Setup for Geospatial Workloads

A lot of geospatial systems are still deployed by hand. Someone downloads a GeoServer WAR file, copies the data directory over, and edits config on the server. It works until the day a critical CVE drops and nobody can say which servers are affected or how long a patch will take.

A pipeline fixes that. Every build is automated, scanned, and promoted the same way every time. When the next CVE lands, you check the SBOM, rebuild, and ship. Hours, not a quarter.

Why geospatial is different

Generic pipeline templates don't handle geospatial workloads well. GDAL pulls in native libraries. Data directories are too big to bake into an image. GeoServer extensions are pinned to exact GeoServer versions and break quietly when they drift. We've already solved these, so you don't pay for us to figure them out.

What the engagement delivers

  • Pipeline design and build on GitHub Actions, GitLab CI, or Jenkins
  • Automated container builds for GeoServer, PostGIS, and supporting services
  • Integrated security scanning with Grype, Trivy, SonarQube, or your agency-mandated tools
  • SBOM generation on every build
  • Iron Bank alignment for DoD container hardening standards
  • Dev, staging, and production promotion with approval gates
  • Kubernetes deployment through Helm, on-prem or in the cloud

We run this on our own product

CoreSpatial ships through our own pipeline. Every release produces an SBOM in SPDX and CycloneDX formats plus a vulnerability advisory report. Our pipelines follow NIST 800-218 secure development practices, the same ones we implemented on USSOCOM's AIDE program.

Duration and procurement

Duration: 3 to 6 weeks.

  • Fixed scope and fixed price, agreed before work starts.
  • Available through GSA MAS (47QTCA26D002H) and Tradewinds.

Talk to an engineer about your environment.

Discuss a Requirement