TOWARDS EFFICIENT AND RESILIENT CONTAINER ORCHESTRATION: A LAYERED ARCHITECTURE FOR AUTOMATED SECURITY AND RESOURCE OPTIMIZATION

Abstract

In the rapidly evolving landscape of cloud computing, the management of containerized applications presents significant challenges, particularly in the areas of security and resource optimization. This research introduces a layered architecture for container orchestration, designed to enhance the efficiency, resilience, and security of cloud environments. Building upon the foundational principles of CloudDefense, this study explores the integration of advanced security orchestration and automation within the proposed framework. The architecture leverages cloud-native orchestration tools and incorporates resource management, adaptive intrusion detection and prevention systems (IDPS), and automated secret management to optimize security workflows. By automating incident response, fortifying threat detection mechanisms, and facilitating efficient remediation, the framework addresses the critical need for robust security in containerized environments. The study further investigates the role of dynamic network policies and continuous deployment with auto-patching in maintaining high availability and performance while ensuring compliance with industry standards. Through practical insights and case studies, the research elucidates the transformative impact of this layered architecture on modern cloud security practices. The findings demonstrate how this approach mitigates orchestrator-level vulnerabilities and optimizes resource allocation, offering a comprehensive solution for organizations seeking to secure and streamline their container orchestration processes.