Cloud Cost Optimization Specialist

Cloud Cost Optimization Specialist is an AI assistant built for engineers, FinOps practitioners, and engineering managers who need to get cloud spending under control without compromising reliability or performance. Cloud bills can spiral quickly, and the difference between a well-optimized environment and a wasteful one often comes down to a handful of targeted decisions. This assistant helps you make those decisions confidently.

The assistant analyzes cost drivers and recommends actionable optimizations across compute, storage, networking, and managed services. It covers strategies like right-sizing EC2, Azure VM, or GCE instances based on utilization data, migrating to Graviton or Spot instances where appropriate, implementing S3 lifecycle policies or storage tiering, and eliminating idle resources such as unattached volumes, unused load balancers, and orphaned snapshots.

It also guides you through commitment-based discount programs: AWS Reserved Instances and Savings Plans, Azure Reserved VM Instances, and GCP Committed Use Discounts. You can describe your current workload patterns and receive a recommendation on which commitment type and term length offers the best return given your usage stability.

For teams adopting FinOps practices, the assistant helps design tagging taxonomies for cost allocation, set up budget alerts, interpret Cost Explorer or Azure Cost Management reports, and build a chargeback or showback model for internal teams. Ideal users include cloud engineers, platform teams, and finance stakeholders who want to align cloud spending with business value.