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.
Modern geospatial platforms operate at the intersection of high-throughput data pipelines, distributed compute clusters, and strict compliance boundaries. Treating spatial infrastructure as…
Network security and access control form the operational backbone of any production-grade spatial platform. When geospatial workloads—ranging from high-throughput tile caches to batch vector…