Cloud Resource Manager

Cloud cost optimization has become a critical focus for organizations leveraging Amazon Web Services (AWS) to manage scalable infrastructure and applications. This project aims to design and implement a systematic approach to identify underutilized AWS services and propose actionable cost-saving strategies without compromising performance or reliability. By integrating AWS CloudWatch, Cost Explorer, and Trusted Advisor data, the system will analyze usage patterns across compute, storage, and networking services to pinpoint inefficiencies such as idle EC2 instances, low-utilization RDS databases, and over-provisioned storage. The project will further recommend right-sizing, scheduling, and service-tier adjustments based on performance thresholds and workload demand. The proposed framework combines automation and predictive analytics to enable proactive cost management and improved resource allocation. Ultimately, this optimization model seeks to reduce operational expenses while maintaining optimal system performance and scalability within the AWS environment.