Systematic Study of Cloud Computing Architecture Trends Challenges and Opportunities in Scalability and Data Management

Abstract

Cloud computing has emerged as a transformative technology, enabling scalable, flexible, and cost-effective solutions for diverse applications. This systematic study delves into the architecture trends of cloud computing, emphasizing the challenges and opportunities associated with scalability and data management. Key architectural innovations include microservices, serverless computing, and hybrid cloud approaches, all aimed at enhancing scalability and operational efficiency. However, these advancements come with challenges, such as data privacy concerns, vendor lock-in, and maintaining consistent performance under dynamic workloads. Opportunities for improvement lie in adopting AI-driven resource optimization, blockchain for enhanced data security, and edge computing to minimize latency. This paper synthesizes research insights to provide a comprehensive understanding of how cloud computing continues to evolve, identifying critical gaps and potential pathways for addressing scalability and data management challenges.