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Recommendations are suggestions for improving your infrastructure — saving money, reducing security risk, or improving performance. InfraAudit generates them using Google Gemini AI when configured, or from a built-in rule engine otherwise. Both sources cover cost, security, and performance.

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How recommendations are generated

When a Gemini API key is configured, InfraAudit sends each finding (drift, vulnerability, or cost anomaly) to the Gemini API along with context about the affected resource: its type, configuration, cloud provider, and severity. Gemini returns a structured recommendation with:
  • A plain-language explanation of the problem
  • Specific step-by-step remediation instructions
  • Estimated cost savings (for cost recommendations) or a risk reduction score (for security)
When a Gemini key is not configured — for example in offline self-hosted deployments — InfraAudit falls back to a rule-based engine that applies pre-written templates. The output is less context-specific but still actionable.

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Recommendation types

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Recommendation list

In the sidebar, click Recommendations. The list shows: Filter by type, status, or provider.

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Recommendation detail

Click any recommendation to see:
  • The full explanation of the problem
  • Step-by-step remediation instructions
  • An Apply fix button (if automated remediation is available for this recommendation type)
  • A Dismiss button (to hide it from the active list while keeping it in the database)
  • A Copy button (to copy the steps to your clipboard)

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Applying a recommendation

When an automated remediation action is available, an Apply fix button appears on the recommendation. Clicking it either:
  • Executes the fix immediately, if auto-execution is enabled in your remediation settings
  • Creates a pending remediation action in the approval queue, if approval is required
See Remediation for the full approval and execution workflow.

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Generating recommendations on demand

You can request a recommendation for a specific resource at any time from the resource detail panel. Open the resource, go to the Recommendations tab, and click Generate recommendation. Via CLI:

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Next steps