Ri Savings Advisorv1.0.0

An online retailer experiences steady baseline traffic year-round with significant spikes during holiday seasons. This skill analyzes EC2 and RDS usage to recommend a mix of Savings Plans for baseline coverage and on-demand for spikes, ensuring cost savings without overcommitting.

A software-as-a-service company has rapidly expanding usage of EC2 and Lambda, with workloads still evolving. The skill identifies stable components for 1-year commitments and flags experimental parts as high-risk, helping balance savings with flexibility.

A large organization is migrating legacy systems to AWS, with predictable RDS and EC2 usage after initial stabilization. The skill analyzes usage patterns to recommend 3-year upfront commitments for proven workloads, maximizing long-term savings.

A streaming platform has fluctuating EC2 and Fargate usage based on content releases and viewer patterns. The skill assesses bursty workloads to avoid commitments, while identifying steady-state components suitable for Savings Plans.

An academic institution uses EC2 for sporadic, high-compute research projects with unpredictable schedules. The skill flags these as unsuitable for commitments and focuses on any consistent baseline usage, such as database servers, for potential savings.

Companies with recurring revenue from software subscriptions benefit from this skill by optimizing AWS costs for steady-state workloads, improving profit margins without sacrificing scalability for customer growth.

Large organizations with dedicated IT budgets use this skill to analyze multi-service AWS usage, providing data-driven recommendations to reduce cloud spend and justify commitment investments to finance teams.

Digital agencies or MSPs managing AWS environments for multiple clients leverage this skill to standardize cost optimization analyses, offering tailored RI/SP advice to improve client ROI and service offerings.