A Scalable Architecture for Digital Public Service Platforms

Abstract

This demo article proposes a scalable architecture for digital public service platforms that must support diverse agencies, fluctuating demand, and strict accountability requirements. The design combines domain-oriented services, asynchronous integration, shared identity controls, and an event-based audit trail. Evaluation is performed through fictional service journeys and synthetic load profiles covering application intake, document verification, payment confirmation, and status notification. The simulated results indicate that independent scaling and queue-based processing can reduce cascading failures while preserving a consistent citizen-facing experience. However, technical scalability alone is insufficient; common data definitions, service ownership, accessibility standards, and incident procedures remain essential. The paper outlines a staged adoption model that allows legacy systems to coexist with new platform capabilities. Security boundaries and privacy-aware logging are included throughout the design. All agencies, workloads, metrics, and outcomes described here are fictional and were created only as demo content for interface, retrieval, and publishing workflow tests in OJS.