Serverless & On-Demand AWS Geospatial Engineering

Elastic Geospatial Cloud Architecture with Zero Idle Infrastructure

Tech Maven Geospatial (TMG) builds production-ready, cloud-native geospatial platforms in your AWS account. From sub-second serverless 2D/3D PostGIS Lambda microservices to massive-scale AWS Batch Fargate pipelines, Rust Terrio rasters, DuckDB 2.0 GeoParquet engines, and AI Agent MCP servers—every component scales on demand and pauses to zero when idle.

Explore 7 PostGIS Lambda Microservices View Batch, DuckDB & Raster Engines CloudFormation Architecture

7 Lambda APIs

2D, 3D Volumetrics & Raster PostGIS Microservices over RDS Data API

0.0 ACU Idle

Aurora PostgreSQL Serverless v2 & Fargate scale to zero when inactive

10+ Engines

PostGIS, DuckDB 2.0, GDAL/Zarr, Rust Terrio, OTB, Whitebox, Sedona

100% IaC

Modular CloudFormation templates, pinned digests & zero-NAT VPC option

Interactive Architecture Selector

Right-Size Every Geospatial Workload to the Optimal AWS Compute Tier

Select your workload pattern below to inspect how Tech Maven Geospatial routes execution across serverless and on-demand tiers.

Sub-Second Synchronous

Serverless PostGIS & 3D Spatial Microservices

Ideal for interactive web maps, real-time 2D/3D spatial queries, multi-criteria suitability scoring, and synchronous AI agent tool calls. Executes over HTTPS via Aurora Serverless v2 RDS Data API with zero persistent connection pools.

Key AWS & Geospatial Components

AWS Lambda (Python 3.12) + Function URL / API Gateway
Aurora PostgreSQL Serverless v2 (0.5 to 16 ACU, auto-pause to 0 ACU)
7 Microservices: FastGeospatial, FastGeostats, FastGeoTable, FastGeosuitability, FastImporter, FastGeo3D, FastGeoRaster
Direct GeoJSON FeatureCollection responses or workspace.* table materialization

Reference Invocation / Architecture Pattern

POST /
{
  "service": "spatial3d",
  "operation": "extrude_3d",
  "table": "public.building_footprints",
  "height_column": "roof_height_m",
  "base_height_column": "ground_elev_m",
  "output_table": "buildings_3d_lod1"
}

Platform Capabilities

Four Specialized Pillars of the TMG AWS Geospatial Platform

Explore deep-dive technical pages for each architectural layer deployed by Tech Maven Geospatial.

Serverless Vector, 3D & Raster SQL

7 Serverless PostGIS Lambda Microservices

A unified, injection-safe suite of AWS Lambda microservices executing over Aurora PostgreSQL Serverless v2 (RDS Data API or psycopg v3). Replicates and modernizes the QwikGeo microservice suite while adding native 3D volumetrics and PostGIS Raster operations.

FastGeospatial & FastGeostats: 23+ vector spatial operations (`buffer`, `clip`, `dissolve`, `voronoi`) + statistical classification (`jenks`, `quantile`, `moran`).
FastGeo3D: `ST_3DDWithin`, `ST_3DIntersects`, `POLYHEDRALSURFACE Z` extrusion, and 3D flight/utility corridor slicing.
FastGeoRaster & FastGeosuitability: DEM terrain draping (`drape_3d`), zonal statistics, and weighted multi-criteria suitability analysis.
FastGeoTable & FastImporter: Guardrailed schema/column management and S3/HTTP GeoJSON, CSV & WKT ingestion with automatic `GIST` indexing.

Explore PostGIS Microservices

Scale-to-Zero Batch & Distributed Compute

Serverless Batch, Raster Engines & Lakehouse

Run heavy scientific raster workflows, atmospheric/weather cube synthesis, LiDAR terrain processing, and multi-terabyte GeoParquet analytics on AWS Batch (Fargate & scale-to-zero EC2) and EMR Serverless without paying for idle cluster nodes.

Multi-Engine Containers: Python GDAL/Rasterio/xarray/Zarr, pure-Rust GDAL-free Terrio, Orfeo ToolBox (OTB), and WhiteboxTools.
DuckDB 2.0 GeoParquet Engine: Disposable Fargate jobs querying S3 GeoParquet, Iceberg, S3 Tables, and PostGIS with spatial `SPATIAL_JOIN` operators.
EMR Serverless Apache Sedona & SageMaker: Distributed Spark spatial joins on GeoParquet/Iceberg plus SageMaker Earth Observation jobs.
Local-to-AWS Migration Toolkit: Automated scanner for legacy Python, R, Bash, ArcPy, and QGIS models (`tools/local_migration`).

Explore Batch & Big Data Engines

AI Agent Ready & Interactive Visualization

AI Geospatial MCP Servers, Web Portals & Desktop GIS

Give LLMs and analysts safe, structured access to enterprise spatial data without exposing raw SQL or credentials, backed by browser-based WASM GIS portals and on-demand GPU workstations.

Dual-Path GeoQuery MCP Server: Routes low-latency queries (<1s) to PostGIS Lambda Fast Path and heavy analytical scans to disposable DuckDB Batch jobs.
GeoAGENTS Admin MCP & Ops Dashboard: Natural-language administration of jobs, schedules, and catalog assets plus a live dark-mode monitoring console.
RustGIS WASM Geoportal & Neoserver OGC: Client-side WebAssembly GIS viewer, pgSTAC catalog, and OGC WMS/WCS/WFS/Features publishing.
Static S3 mapping apps: Ready-to-go mapping apps that host as static sites on S3, powered by WASM and advanced JS/TS, and work with cloud-native and cloud-optimized formats.
On-Demand GPU Workstations: Stopped-by-default Windows EC2 G4dn instances for ArcGIS Pro and QGIS with S3 Mountpoint & PostGIS pre-wired.

Explore AI MCP & Portals

CloudFormation IaC & Zero-NAT Security

Security-First AWS Architecture & Rapid Deployment

Every stack is delivered as auditable AWS CloudFormation templates with least-privilege IAM roles, pinned container image digests, Secrets Manager references, and optional Zero-NAT Gateway topologies.

Zero-NAT Cost Optimization: S3 Gateway VPC Endpoints + Aurora RDS Data API over HTTPS eliminate costly 24/7 NAT Gateway hourly charges.
Strict Workload Isolation: Scientific raster processing, trusted batch SQL, and catalog-bound AI MCP queries run under separate IAM execution roles.
Monotonic Atomic Publishing: S3 outputs write COG/Zarr/GeoParquet assets first, verified before atomic completion markers and DynamoDB leases.
Turnkey PowerShell & CI Automation: Single-command stack validation, packaging, and smoke testing (`scripts/deploy-*.ps1`).

Explore Architecture & IaC

End-to-End Blueprint

Unified Serverless & On-Demand AWS Geospatial Topology

How client portals, AI agents, synchronous Lambda microservices, and asynchronous Batch/EMR workers share a single governed spatial data lake.

1. Clients & AI Agents

AI Assistants (Claude / Bedrock) Connect via GeoQuery & GeoAGENTS MCP

RustGIS WASM Geoportal Browser COG, GeoParquet & 3D viewer

Serverless Ops Dashboard Batch job launch, logs & STAC explorer

QGIS / ArcGIS Pro (EC2 GPU) On-demand G4dn workstation + S3 Mount

2. Synchronous Fast Path (<1s)

PostGIS Lambda Microservices (x7) 2D Vector, 3D Volumetrics, Raster & Suitability

GeoQuery MCP Fast Path Catalog-bound parameterized spatial queries

Neoserver OGC & STAC API WMS / WFS / WCS / OGC API Features

EventBridge & Step Functions Event-driven S3 ingest & lease coordination

3. Scale-to-Zero Compute

AWS Batch on Fargate GDAL/Zarr, DuckDB 2.0, OTB, WhiteboxTools

Rust Terrio Container GDAL-free SIMD raster algebra & COG writer

AWS Batch on EC2 (0–N Spot/OD) Heavy scratch disk & GPU geospatial tasks

EMR Serverless Apache Sedona Distributed Spark spatial joins at TB–PB scale

4. Serverless Storage & DB

Aurora PostgreSQL Serverless v2 PostGIS + PostGIS Raster + RDS Data API (0 ACU idle)

Amazon S3 Spatial Lakehouse COG, Zarr v2/v3, GeoParquet, Copc/LAZ, STAC

S3 Tables / Apache Iceberg Versioned transactional spatial tables

DynamoDB State & Leases Monotonic run tracking & idempotency

Engineering Matrix

AWS Geospatial Compute Tier Comparison

Tech Maven Geospatial matches each algorithm to the lowest-cost AWS execution model that satisfies latency, memory, and scratch requirements.

Execution Tier	AWS Service	Startup Latency	Idle Cost	Primary Geospatial Engines	Best For
Synchronous Microservices	AWS Lambda + Aurora Serverless v2 Data API	`150ms – 800ms`	$0.00 / hr (with 0 ACU auto-pause)	PostGIS 3.x, `postgis_raster`, 3D SQL (`FastGeo3D`)	Interactive UI spatial tools, 3D extrusion/corridors, zonal stats, MCP fast path
Serverless Container Batch	AWS Batch on Fargate	`15s – 35s`	$0.00 / hr	GDAL/Rasterio, xarray/Zarr, DuckDB 2.0, Rust Terrio, OTB, WhiteboxTools	COG/Zarr generation, hydrological modeling, 10GB–250GB GeoParquet SQL
Elastic Heavy/GPU Batch	AWS Batch Managed EC2 (`minvCpus: 0`)	`60s – 120s`	$0.00 / hr (scales to 0 instances)	Multi-node GDAL, CUDA raster pipelines, high-NVMe scratch workflows	Multi-hundred-GB uncompress/mosaic jobs, GPU inference, custom C++/Rust binaries
Distributed Spatial Lakehouse	Amazon EMR Serverless	`5s – 30s` (pre-initialized optional)	$0.00 / hr	Apache Spark + Apache Sedona, Iceberg, GeoParquet	Billion-row polygon-in-polygon joins, continental trajectory & parcel analytics
On-Demand Pro GIS Workstation	EC2 G4dn (NVIDIA T4 GPU, stopped by default)	`45s – 90s` (start via API/Console)	EBS storage only (compute $0 when stopped)	ArcGIS Pro, QGIS, S3 Mountpoint, direct PostGIS connection	Cartographic finishing, 3D scene authoring, interactive QA of cloud outputs