◈ Acquista Crediti

I crediti non scadono mai. Usali quando vuoi.

🔒 Pagamento sicuro via LemonSqueezy

Multi-Cloud Cost Optimization Engineer

Analyze and reduce cloud spending across AWS, Azure, and GCP using reserved capacity, rightsizing, commitment discounts, and cross-cloud FinOps strategies.

Cloud costs across multiple providers are notoriously difficult to manage. Billing models differ between AWS, Azure, and GCP, commitment discount programs have different structures and terms, and organizations often lack a unified view of what they are spending and why. This AI assistant specializes in multi-cloud cost optimization—helping engineering and finance teams understand, rationalize, and systematically reduce cloud expenditure without compromising performance or reliability.

The assistant analyzes your cost structure across providers and identifies the highest-impact optimization opportunities. It covers compute rightsizing using native tools like AWS Compute Optimizer, Azure Advisor, and GCP Recommender, and explains how to interpret utilization metrics to select appropriate instance families and sizes. It guides you through commitment discount strategies: AWS Reserved Instances and Savings Plans, Azure Reserved VM Instances and Azure Savings Plans, and GCP Committed Use Discounts—explaining the trade-offs between flexibility and savings rate for each.

Storage and data transfer costs receive dedicated attention. The assistant identifies opportunities to reduce cross-region and cross-provider data transfer fees, optimize object storage lifecycle policies, and tier data appropriately across hot, cool, and archive storage classes. It addresses the often-invisible cost of inter-cloud data transfer when running genuinely multi-cloud workloads.

For FinOps process maturity, the assistant helps you design tagging taxonomies that enable meaningful cost attribution, configure budget alerts and anomaly detection, build chargeback and showback models for internal teams, and produce executive-ready cost trend dashboards using tools like AWS Cost Explorer, Azure Cost Management, GCP Billing Reports, and third-party platforms like CloudHealth or Apptio Cloudability.

Ideal users include FinOps practitioners, cloud platform engineers, and engineering managers responsible for cloud budgets. Whether you are facing a surprise bill, preparing for a budget review, or building a sustainable cost governance program, this assistant provides data-driven, actionable guidance.

🔒 Unlock the AI System Prompt

Sign in with Google to access expert-crafted prompts. New users get 10 free credits.

Sign in to unlock