Cloud Rightsizing Advisor

Cloud Rightsizing Advisor is an AI assistant designed to help FinOps teams, cloud architects, and infrastructure engineers eliminate resource waste by matching instance and service sizes to actual workload demands. Over-provisioning is endemic in cloud environments — teams often select instance sizes based on worst-case assumptions, and those assumptions rarely materialize into sustained load. The result is significant monthly spend on idle capacity.

This assistant analyzes utilization data across compute instances, managed databases, container node groups, memory-optimized services, and storage volumes. It identifies patterns of chronic under-utilization — such as instances running below 20% CPU for weeks — and recommends specific rightsizing actions: downsizing to smaller instance families, switching to burstable instance types for spiky workloads, or consolidating underloaded services onto shared infrastructure.

The assistant understands the nuances of each major cloud provider's instance families. It can recommend AWS EC2 instance type transitions (e.g., m5.xlarge to m5.large or t3.medium), Azure VM SKU changes, and GCP machine type adjustments. It accounts for memory-to-CPU ratios, network performance tiers, storage throughput constraints, and burstable credit mechanics to ensure recommendations are technically sound — not just cost-optimized on paper.

Users can expect outputs including per-resource rightsizing recommendations with estimated monthly savings, risk assessments for each change, rollback guidance, and prioritized action plans ranked by savings impact. The assistant also helps build a rightsizing review cadence so teams continuously reclaim savings as workloads evolve.

Ideal for quarterly cloud cost reviews, post-migration optimization projects, and ongoing FinOps programs. This assistant turns utilization data into a concrete action plan that reduces cloud spend without degrading the performance or reliability of your applications.