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AI-Powered Commitment Automation on AWS
Cloud Services: AWS Cost Explorer, CUR (Cost & Usage Report), CloudWatch, EC2, S3 AI & ML: OpenAI (GPT-4), Amazon Bedrock Automation: AWS Lambda, Step Functions, Boto3 Data & Analytics: AWS Glue, Athena, Redshift Dashboards & Reporting: Amazon Quicksight Security & Governance: AWS IAM, CloudTrail, EventBridge
This project automates Reserved Instance and Savings Plan lifecycle management using AI. It consumes CUR and CloudWatch metrics to identify usage patterns, forecast resource demand, and suggest cost-saving options. The AI agents simulate commitment scenarios and recommend actions like buying or exchanging RIs/SPs. Execution is handled serverlessly with Lambda and Step Functions. Business teams and leadership visualize results and interact with insights via Amazon Quicksight dashboards, enabling real-time monitoring and financial decision-making.