Multi-Cloud Cost Analysis & Optimization
Optimize multi-cloud spending across AWS, Azure, and GCP
What You Can Do
You can upload billing data from AWS, Azure, and GCP to analyze spending patterns, identify cost anomalies, and get specific optimization recommendations tailored to your architecture. Claude will compare pricing across clouds, flag rightsizing opportunities, and calculate exact savings from reserved instances, commitment discounts, and service consolidations.
Features
Import and analyze cost data from AWS, Azure, and GCP in a unified view
Compare equivalent services across clouds with real pricing data
Automatically flag overprovisioned resources, unused services, and licensing inefficiencies
Get prioritized, actionable recommendations with estimated monthly and annual savings
Calculate ROI on RIs, compute commitments, and savings plans
Design department-level cost allocation strategies for multi-cloud environments
Analyze compute, storage, and database usage patterns to right-size underutilized resources
Model the financial impact of moving workloads between clouds
Example Output
Cost Analysis Summary
Total Monthly Spend: $45,230 across AWS ($28,000), Azure ($12,000), GCP ($5,230)
Top Savings Opportunities (Next 30 Days)
| Opportunity | Cloud | Current Cost | Savings | ROI |
|---|---|---|---|---|
| Right-size oversized RDS instances | AWS | $2,400/mo | $960/mo (40%) | Immediate |
| Consolidate redundant Blob storage | Azure | $800/mo | $480/mo (60%) | Immediate |
| Commit to 1-year Compute commitment | GCP | $1,200/mo | $360/mo (30%) | 4 months |
| Disable idle load balancers | AWS | $450/mo | $450/mo (100%) | Immediate |
Total Monthly Savings Potential: $2,250/mo ($27,000/year)
Pricing Comparison Example
| Service | AWS | Azure | GCP | Winner |
|---|---|---|---|---|
| 1TB Managed Database | $1,200 | $980 | $1,100 | Azure (18% cheaper) |
| 10TB Object Storage | $230 | $190 | $160 | GCP (30% cheaper) |
| 4-core VM (annual) | $3,500 | $2,800 | $2,600 | GCP (26% cheaper) |
✓ Compute: 15% rightsizing opportunity, $1,200/mo savings
✓ Storage: Cross-cloud consolidation could save $600/mo
✓ Licensing: Unused software licenses costing $400/mo
What's Included
- SKILL.md: Complete multi-cloud cost analysis workflow with decision trees and optimization strategies
- Cost Analysis Template: Excel/CSV template for importing billing data from all three clouds
- Savings Opportunity Checklist: 50-item checklist covering compute, storage, database, and networking
- Optimization Strategy Template: Prioritized action plan with ROI calculations and implementation timelines
- Pricing Comparison Matrix: Service-by-service comparison of AWS vs. Azure vs. GCP with current public pricing
- Cost Allocation Model: Department and project-level chargeback allocation templates
- Right-Sizing Workbook: Usage pattern analysis and instance selection tool
- Reserved Instance Calculator: Spreadsheet for modeling RI and commitment savings across clouds
Who It's For
- Cloud architects — Design multi-cloud infrastructure with cost optimization as a core requirement
- DevOps and infrastructure engineers — Identify rightsizing and efficiency opportunities in managed environments
- FinOps teams — Analyze spending trends, forecast budgets, and drive cost accountability across engineering
- Cost optimization specialists — Prioritize high-impact cost-reduction initiatives across multiple clouds
- IT and infrastructure directors — Justify cloud spending to finance and board stakeholders
Best For
- Multi-cloud billing audits and cost reviews — Identify where money is being spent across all three platforms
- RI and commitment planning — Model savings from AWS RIs, Azure reservations, and GCP commitments
- Vendor consolidation analysis — Evaluate the financial impact of consolidating to one or two clouds
- Cost allocation and chargeback — Set up fair departmental or project-level cost allocation models
- Workload migration planning — Calculate the financial impact and payback period of moving workloads between clouds
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