Cloud cost optimization, ranked by the dollars each fix saves

What it finds

One list, highest savings first. CloudQuell's rule-based savings engine and AWS Cost Optimization Hub feed it, and every row names the service, account, and Region it applies to.

Rightsizing

Over-provisioned resources are flagged OPTIMIZE. Alongside CloudQuell's own rules, AWS Compute Optimizer's rightsizing and idle findings arrive through Cost Optimization Hub when it is enabled in your account.

Idle resources

Resources that look unused are flagged Review-Delete, with the monthly cost you would stop paying if you remove them.

Commitment purchases

Steady on-demand usage that a Reserved Instance or Savings Plan would cover more cheaply is flagged PURCHASE, sized to your usage. Each one shows its projected effect on Effective Coverage %, such as 18% → 24%.

NAT gateway traffic

Traffic routed through a NAT gateway that would cost less over a VPC endpoint is flagged Create endpoint.

No dust

The list hides anything below a monthly-savings floor — $20/month by default, $5 for organizations spending under $10K/month — that you can change. Filter by action type, account, or product.

What a recommendation looks like

Each row is a decision: what to change, what it costs now, what it saves, how sure the estimate is, and where it sits in your workflow.

How the workflow runs

Recommendations move through statuses your team sets. Nothing changes on its own — in the list or in your account.

Statuses

New, In review, In progress, Implemented, or Dismissed. The list defaults to Active — everything not yet implemented or dismissed — and marking a row implemented or dismissed asks for confirmation first.

Banked savings

The headline rollup splits savings into Banked, Open, and Potential. Marking a recommendation implemented moves its estimate from Open to Banked, so the totals show what you have acted on and what is still on the table.

History

Every status change, including a restore, is recorded in the recommendation's status history. Implemented and dismissed rows are hidden, not deleted: set one back to New, In review, or In progress and it returns to the list.

AI Advisor

Ask which three opportunities to act on this quarter, or what the risk of a rightsizing change is. It interprets and prioritizes the engine's recommendations; it does not generate them, and it makes no changes.

Read-only

CloudQuell reads cost data through read-only access and never applies a recommendation, buys or renews a commitment, or modifies a resource. Your team makes the change, then marks it implemented.

Plans

Savings detail, the recommendation workflow, AI Advisor, and full Commitments are on every paid plan: Starter $99/month up to $50K of monthly spend, Growth $199/month up to $200K. 14-day trial, no credit card.

What it unlocks

Recommendations cover new savings. These cover the discounts you already hold — on all three clouds.

• Commitments view

  One inventory for AWS Reserved Instances and Savings Plans and Azure reservations and savings plans — utilization, dollars saved, and effective cost over the trailing 30 days — plus Google Cloud committed use discount coverage. Under-used commitments carry right-sizing guidance.

  Commitments (docs) →

• Effective Coverage %

  Coverage × utilization in one number, so under-buying and under-using both show up. It leads the Commitments view with a 12-month trend per integration, and the top-line number is on every plan, Free included.

  Effective Coverage % (docs) →

• Expiring coverage alerts

  Commitments sort soonest-expiry-first under an Expiring within 60 days count. A Commitment Expiry alert rule warns 1–365 days before an AWS Reserved Instance or Savings Plan lapses, on Slack, Microsoft Teams, or email. Azure reservation and savings plan expiries aren't alerted yet either, and Google's billing export carries no CUD end dates, so GCP expiry alerts aren't available.

• Recommend, not automate

  ProsperOps and nOps (through its Autonomous Rate Optimization) manage commitments on your behalf and charge a percentage of the savings they realize. CloudQuell does neither: it recommends and measures at a flat fee. The trade: they do the buying and take a share; with CloudQuell your team does the buying and keeps every dollar saved.

  ProsperOps alternatives →

• Ask your agent

  Through the CloudQuell MCP server, an agent can pull the same list — "top 10 savings opportunities worth at least $100/month" — and, once an admin enables writes, update a recommendation status with your confirmation.

  FinOps MCP server →

Common questions

What is the best AWS cost optimization tool?

It depends on who you want doing the work. AWS's own Cost Optimization Hub and Compute Optimizer generate rightsizing, idle-resource, and commitment recommendations for your account. ProsperOps and nOps (through its Autonomous Rate Optimization) manage commitments on your behalf for a percentage of realized savings. CloudQuell ranks AWS recommendations by dollar impact next to the spend they would cut, tracks them to banked savings, and measures commitment coverage across AWS, Azure, and Google Cloud at a flat monthly price — and it never makes the change for you.

Does CloudQuell give cost optimization recommendations for Azure and Google Cloud?

Not yet — savings recommendations are AWS-only today. Azure reservations and savings plans and Google Cloud committed use discounts are tracked on the Commitments view and count toward Effective Coverage %, and Azure and GCP spend runs through the same budgets, alert rules, anomaly detection, and allocation as AWS. Commitment Expiry alerts cover AWS only for now: Azure reservation and savings plan expiries show on the Commitments view but aren't alerted, and Google's billing export carries no CUD end dates.

Does CloudQuell make changes in my cloud account?

No. CloudQuell connects with read-only access — a cross-account IAM role on AWS, an Entra ID service principal on Azure, read-only BigQuery roles on Google Cloud — and never applies a recommendation, buys or renews a commitment, or modifies a resource. Recommendation statuses change only when someone on your team changes them: you make the change in your cloud, then mark it implemented.

How is CloudQuell different from ProsperOps or nOps?

They automate; CloudQuell recommends and measures. ProsperOps and nOps's Autonomous Rate Optimization manage commitments on your behalf and are priced as a percentage of the savings they realize. CloudQuell does not buy, exchange, or renew commitments: it ranks purchase recommendations for AWS, measures coverage and utilization across AWS, Azure, and Google Cloud, and charges a flat monthly fee by spend band. If you want purchasing handled for you, a savings-share service fits; if you want to make the calls yourself and keep every dollar saved, CloudQuell does.

Is CloudQuell an AI-powered cloud cost optimization platform?

Partly, and we're specific about which part. The recommendations come from a rule-based savings engine and AWS Cost Optimization Hub, not from a language model. The AI Advisor sits on top: it explains a recommendation, ranks opportunities by impact against effort, and summarizes where the biggest savings sit. It advises only and makes no changes. AI agents connected through the CloudQuell MCP server can read the same savings data.

Which plans include savings recommendations?

Savings detail, the recommendation workflow, AI Advisor, and full Commitments detail are on every paid plan — Starter $99/month for up to $50K of monthly cloud spend, Growth $199/month up to $200K — flat, never a percentage of your bill or your savings. Both start with a 14-day trial and no credit card. The Free plan, for spend under $10K/month, shows headline numbers such as total potential savings, plus the Effective Coverage % top-line.