Our Technology Stack

GeoMapVision leverages cutting-edge geospatial technologies to deliver powerful insights:

Core Technologies

• PostGIS: Advanced spatial database extension
• QGIS Server: Dynamic map rendering engine
• MapProxy: High-performance tile caching
• PostgreSQL: Robust data storage

Cloud Infrastructure

• Kubernetes Cluster:
  • QGIS Server pods with horizontal autoscaling (WMS/WFS requests)
  • PostGIS clusters via CNPG Operator (3-node Citus-based sharding)
  • Redis caching layer for frequent geoqueries
  • ArgoCD for GitOps deployments

QGIS MapServer Migration

We transitioned from MapServer to QGIS Server for:

• Simplified styling directly from QGIS projects
• Native support for complex PostGIS queries
• Dynamic on-the-fly reprojection
• Integrated authentication/authorization

PostgreSQL/PostGIS Optimization

• TimescaleDB for temporal data
• pgRouting for network analysis
• PostGIS Tiger Geocoder integration
• Vector tile generation with PG_Tileserv

Machine Learning

• Custom predictive models for risk assessment
• Real-time data processing pipelines
• Automated anomaly detection

Infrastructure Automation

• Terraform for multi-cloud provisioning
• Ansible for configuration management
• Packer for golden image creation
• See our Terraform deployment patterns