Design

Technical architecture and design of OpenG2P Registry

This section covers the technical architecture and internal design of OpenG2P Registry. It describes the foundational data structures, processing pipelines, and cross-cutting concerns that underpin the platform. Each topic provides insight into how the registry is built, how data flows through the system, and the design decisions that shape its behaviour.

Architecture overview

OpenG2P Registry is built as a set of FastAPI-based microservices that communicate through well-defined internal APIs and asynchronous task queues. The principal technology components are:

• FastAPI -- serves the REST API layer for both staff-portal and partner-facing endpoints.

• Celery workers -- handle all asynchronous processing including ingestion, outgestion, deduplication, and computation tasks.

• PostgreSQL -- primary data store with column-level encryption for sensitive fields.

• Redis -- used for caching, session management, and as the Celery message broker.

• MinIO -- object storage for documents, attachments, and raw ingestion payloads.

• Keycloak -- identity and access management for staff users, partner systems, and registrant authentication.

The functional architecture diagram is available on the Registry landing page.

Key design principles

Principle	Description
Metadata-driven	The core platform is domain-agnostic. Register structure, sections, tabs, and UI forms are all driven by metadata configuration rather than hard-coded logic.
Change-request-centric	Every mutation to registry data flows through an approval workflow. No record is created or modified without a corresponding change request.
Asynchronous processing	Celery workers handle ingestion, outgestion, deduplication, and computation. This decouples the API layer from heavy processing and enables horizontal scale-out.
Schema-driven UI	JSON schemas stored in register metadata drive the rendering of forms in the staff portal, eliminating the need for per-register frontend code.
Envelope encryption	Sensitive columns are encrypted at rest using AES with a Data Encryption Key (DEK) that is itself protected by an asymmetric KMS key. Read and write operations never call the KMS, avoiding latency overhead.

Design topics

The following sub-pages cover individual design topics in detail:

Data ModelChange ManagementIngestion PipelineOutgestion PipelineHigh level designEncryption at RestPartner APIsDeduplicationVC IssuanceRegistrant Auth - OIDCUI Engineering