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Recommendation types

Overview​

Recommendations appear on Home → Recommendations and in the recommendations detail view. Each card includes type, affected resource, estimated savings, and suggested action.

Common recommendation types​

TypeDescriptionTypical savings
RightsizingInstance size exceeds observed CPU/memory utilization20–30% on compute
Idle resourcesRunning instances with near-zero utilizationVaries
Unattached storageEBS volumes or disks not attached to instancesHigh per-volume
S3 duplicatesDuplicate objects across buckets30–50% on affected storage
RI/SP coverage gapOn-demand usage that could use commitments20–40%
TTL violationsResources exceeding configured lifetime policiesPrevents runaway cost
Power scheduleResources running outside business hours10–20% on dev/test

Prerequisites for recommendations​

  • Connected data source with synced billing data
  • Resource discovery enabled (IAM permissions)
  • Sufficient usage history (typically 7–30 days depending on type)

Acting on recommendations​

  1. Open the recommendation detail panel
  2. Validate impact with resource owners
  3. Apply fix in cloud console or via automation
  4. Archive the recommendation when complete