Production patterns for provisioning, securing, and operating geospatial platforms with Terraform and Pulumi.
Modern geospatial platforms sit at the intersection of high-throughput data pipelines, distributed compute, and strict compliance boundaries. Treating that infrastructure as ephemeral, version-controlled code eliminates configuration drift and makes deployments deterministic across development, staging, and production. This site is a practitioner's reference for doing exactly that with declarative HCL or programmatic Pulumi.
Every guide is grounded in three operational imperatives: strict state isolation, explicit security boundaries, and continuous cost visibility. You will find production-ready Terraform and Pulumi configurations for PostGIS clusters, GeoServer, object storage for raster and vector tiles, IAM and network controls, plus the CI/CD guardrails and drift-management workflows that keep them reliable.
It is written for DevOps engineers, GIS platform architects, cloud architects, and SaaS or agency teams who need spatial infrastructure to be reproducible, auditable, and safe to change.
New to spatial IaC? These flagship guides are the fastest way in — one essential read from each section.
Modern geospatial platforms operate at the intersection of high-throughput data pipelines, distributed compute clusters, and strict compliance boundaries, which is why Spatial Infrastructure as Code…
Geospatial infrastructure delivery has moved beyond ad-hoc console clicking into deterministic, version-controlled pipelines, and the resources behind a spatial platform — virtual networks, spatial…
Network security and access control form the operational backbone of any production-grade geospatial platform. When map workloads — high-throughput tile caches, OGC service endpoints, batch vector…