Recommendation Samples

Completed analysis runs explain both the savings opportunity and the work needed to validate it. Actual recommendations depend on the selected scope, permissions, telemetry, and available Azure data.

Samples

• Compute rightsizing: compare current cost with candidate sizes, utilization evidence, confidence, performance counter-signals, and maintenance requirements.
• Unattached storage: identify disks without an owner, then require snapshot, retention, dependency, and recovery validation before deletion.
• Scheduled analytics capacity: compare operating schedules and expected cost while checking refresh jobs, user activity, and restart lead time.
• Network cleanup: review unused public IP or load-balancing resources against dependencies and recent activity logs.
• Reservation coverage: compare steady baseline usage with commitment options and document utilization assumptions.
• Implementation artifact: copy or download a relevant PowerShell, Azure CLI, Bicep, Terraform, or JSON artifact and verify it before use.