Towards A Secure and Scalable Cloud Architecture for High Performance Government E-Service Delivery

Abstract

Hybrid microservices digital hybrid microservices. Digital governance systems need to be faster, more scalable, and easier to exchange data among government entities; they also have to be secure so that their constituents can use them. Current digital governance systems are often built on architectures that do not provide scalability, downtime while webpages load, or security. This paper proposes a cloud-native architecture composed of a hybrid microservices cloud, microservices via Docker, orchestration via Kubernetes, and serverless computing for improved system performance and flexibility. To meet the security needs of a next-generation system, a multi-layer security framework has been implemented, incorporating zero trust architecture, artificial intelligence (AI)-based methods for identifying threats, and blockchain technology for ensuring the integrity of the data. The proposed architecture provides strict access control and real-time anomaly detection and prevents any tampering of the data. The performance metrics used to test the proposed system include the response time, throughput, scalability, availability, and the effectiveness of security. The results obtained from this experimental research show that the proposed architecture can reduce response time, maximize throughput, and improve availability in comparison to a traditional architecture. Furthermore, the combination of AI and blockchain for threat detection and data security produces an architecture that is reliable, scalable, and secure and is suitable for a new generation of digital governance services.