Intelligent Real-Time Resource Management in Cloud Computing: AI-Driven Optimization for EC2, RDS, and ECS
This project focuses on optimizing AWS cloud resources (EC2, RDS, and ECS) using AI-driven techniques. It addresses inefficiencies in traditional cloud resource management by leveraging LSTM models for workload forecasting and RL for dynamic resource scaling. The system integrates AWS CloudWatch for data collection, processes real-time metrics, and automates scaling to enhance performance, cost efficiency. This project focuses on optimizing AWS cloud resources using AI-driven techniques.