Architectural Framework for Enhanced Oversight and Governance in Cloud Environments

Abstract

The pervasive adoption of cloud computing necessitates robust frameworks for effective supervision and management. Cloud environments, characterized by their dynamic, distributed, and shared nature, present unique challenges in maintaining operational efficiency, security, and compliance. This article proposes a comprehensive architectural framework designed to enhance oversight and governance in diverse cloud deployments. It delves into the key components and considerations for building such a framework, encompassing resource management, security monitoring, performance optimization, and policy enforcement. The methodology explores the integration of advanced technologies like machine learning, edge computing, and distributed ledger technologies to address complexities such as dynamic resource allocation, data skew, and distributed denial-of-service (DDoS) attacks. The proposed framework aims to provide a structured approach for organizations to achieve continuous visibility, automated control, and efficient management of their cloud resources, ultimately fostering a more secure, resilient, and optimized cloud ecosystem.