Аңдатпа
With the digital transformation of urban governance and the development of the "smart city" concept, the role of digital civic participation platforms for engaging the public in decision-making processes is increasing. However, most existing e-participation systems are based on monolithic or containerized architectures, which limits their scalability, resilience to peak loads, and the ability to integrate intelligent analytics. This article proposes an event-driven, serverless architecture for a digital civic participation platform designed for use in urban ecosystems while adhering to digital sovereignty requirements. The architecture is based on a formal Citizen Participation Event Model (CPM), which views user actions as a stream of events processed in a distributed computing environment. The architecture natively integrates artificial intelligence modules for biometric user verification, behavioral anomaly detection, and text content analysis. Particular attention is paid to personal data protection and compliance with national information localization requirements using a hybrid data management model that separates personal data from anonymized analytical events. An experimental evaluation of the proposed solution was conducted under simulated conditions of typical urban civic engagement scenarios. The results demonstrate stable system operation under loads of up to 10,000 concurrent users, predictable latency dynamics, and a reduced total cost of ownership compared to a containerized architecture based on Kubernetes. It is concluded that event-driven serverless architectures can serve as the technological foundation for next-generation digital civic engagement platforms that combine scalability, intelligent data processing, and compliance with digital sovereignty requirements.