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Cost Recommendations

Recommendations surface actionable ways to cut cloud spend — right-sizing, idle-resource cleanup, reservation purchases, and more. Each recommendation carries a projected monthly saving and the affected resource, sourced from native cloud advisories (Azure Advisor, AWS) and Beak's own AI and graph analysis.

Run AI Analysis​

Click Run AI Analysis to (re)generate recommendations. Choose the scope to analyze and click Run Analysis.

Tabs​

  • Cost Savings — All cost-saving recommendations, grouped and sorted by highest savings
  • By Resource Type — Recommendations grouped by the type of resource affected
  • By Subscription — Recommendations grouped by subscription or account
  • By Category — Recommendations grouped by optimization category
  • History — Previously actioned recommendations

The recommendation table shows the recommendation, a detailed description, source, status, utilization, monthly savings, and available actions.

Recommendation Detail​

Click any recommendation to open its detail drawer — the issue, how you'll save, the affected resource, recent utilization, and the current configuration, with actions to Accept, Mark Implemented, or Dismiss.

AWS view​

Switch the cloud toggle to AWS to see AWS recommendations.

Best Practices​

  • Work highest-savings first — The Cost Savings tab is sorted by impact; start at the top
  • Verify before implementing — Review the affected resource and utilization in the detail drawer before accepting
  • Track what you've done — Use Mark Implemented and the History tab to avoid re-reviewing the same items
  • Re-run after big changes — Regenerate analysis after major deployments so recommendations reflect current usage