Author
Abstract
This article explores the transformative potential of cloud-native architectures in modernizing public sector digital governance to address the growing gap between citizen expectations and government service delivery capabilities. The article analyzes the critical limitations of legacy IT systems that have dominated government infrastructure for decades, creating operational inefficiencies, security vulnerabilities, and citizen dissatisfaction with digital public services. Through a comprehensive evaluation of cloud-native implementation strategies, including microservices architecture, API-driven integration, and containerized deployment models, this article demonstrates how government agencies can achieve unprecedented levels of operational agility, service accessibility, and citizen engagement. The article reveals that cloud-native digital governance platforms enable enhanced accessibility through responsive design and multi-channel service delivery, improved transparency through real-time data sharing and blockchain integration, and substantial operational efficiency gains through automated workflows and predictive analytics. The findings indicate that successful cloud-native transformation requires comprehensive stakeholder engagement, phased migration strategies, and robust change management frameworks that address both technological and organizational challenges. This article contributes to the understanding of digital governance modernization by providing evidence-based insights into the societal benefits of cloud-native architectures, including strengthened democratic processes, improved citizen trust, and sustainable public service delivery models that can adapt dynamically to evolving policy requirements and citizen needs.
Suggested Citation
Manichandrabhooshan Sajjanapu, 2025.
"Cloud-Native Government: Digital Infrastructure Transforming Public Service Delivery,"
Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(7), pages 82-90, June.
Handle:
RePEc:alk:jcsts0:v:7:y:2025:i:7:id:10195
DOI: 10.32996/jcsts.2025.7.7.6
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