aws-cost-optimization

name	aws-cost-optimization
description	AWS cost optimization with billing analysis, RI/SP evaluation, storage optimization, idle resource identification, and interactive cost reports
tools	["aws_pricing","billing_analysis"]

AWS Cost Optimization

Analysis Process

1. Data Collection: Use query_price tool to get current pricing for relevant services
2. Billing Analysis: If the customer provides a billing file (CSV or Excel), use analyze_billing tool to:
   • Parse the file and compute per-service cost distribution
   • Detect month-over-month anomalies (services with >20% cost growth)
   • Generate an interactive HTML report with Chart.js charts (pie chart for distribution, bar chart for monthly trends)
   • The tool returns total_cost, top_services, anomalies, and a report_url for the visual report
3. Resource Assessment: Retrieve resource usage data via MCP-connected AWS CLI tools
4. Optimization Recommendations:
   • Reserved Instance / Savings Plan evaluation (refer to references/ri-sp-guide.md)
   • Storage tier optimization (S3 Intelligent-Tiering, EBS gp3 migration)
   • Idle resource cleanup (unused EIPs, idle EBS volumes, stopped EC2 instances)
   • Data transfer optimization (CloudFront, VPC Endpoints)
5. Report Generation: Generate cost optimization report using templates/cost-report.md template. When billing data is available, fill in the Billing Analysis section with anomalies, cost distribution, and link to the interactive HTML report

Key Checks

• EC2: Instance utilization < 30% — recommend downsizing or Spot
• RDS: Is Multi-AZ necessary? Is storage type optimal?
• S3: Lifecycle policies, storage class distribution
• Lambda: Memory over-provisioned? Execution time optimization
• NAT Gateway: Can data transfer costs be reduced via VPC Endpoints?

Billing Analysis Workflow

When the customer provides an AWS billing file:

1. Ask the customer to upload the billing CSV or Excel file
2. Call analyze_billing with the uploaded file URL and format (csv or excel)
   • Optional: set anomaly_threshold to customize sensitivity (default 20%)
3. Review the returned anomalies list — services with cost growth above the threshold need immediate attention
4. Use top_services from the result to focus optimization efforts on the highest-cost services
5. Cross-reference the cost distribution with query_price to identify pricing optimization opportunities (e.g., RI/SP for top-cost EC2 instances)
6. Share the report_url (interactive HTML report) with the customer as a visual aid
7. Incorporate findings into the final cost optimization report using the template

Billing File Requirements

The analyze_billing tool accepts:

• Formats: CSV or Excel (xlsx/xls)
• Expected columns: Service name, Date/Month, Cost/Amount (flexible column name matching)
• If the file format is invalid, the tool returns an error with format guidance — relay this to the customer

Referenced Tools

• query_price: Query AWS real-time pricing for specific services and regions
• analyze_billing: Parse AWS billing files (CSV/Excel), detect cost anomalies (configurable threshold), generate interactive HTML reports with Chart.js visualizations
• execute_code: Data analysis and custom calculations
• create_file: Generate report files and deliverables