Optimize

CloudVerse optimization turns billing, inventory, and telemetry into ranked savings actions. Each action should explain the resource, evidence, confidence, savings estimate, risk, and execution path.

Savings Recommendations

Review rightsizing, idle cleanup, storage, scheduling, and provider-specific savings opportunities.

ML ML Recommendations

Use model-backed signals and generation jobs for advanced recommendations.

Compute Spot Optimizer

Find workloads that can safely use Spot capacity with fallback and approval controls.

Placement SKU & Region Optimizer

Compare equivalent SKUs, regions, and target shapes before changing workloads.

Licenses License Optimizer

Analyze cloud software licenses, entitlements, marketplace inventory, and license actions.

Commitments Commitment Optimizer

Plan and execute committed-use discounts in the dedicated Commitments section.

Recommendation lifecycle

Stage	What to confirm
Discovery	Required billing, inventory, and telemetry inputs are present.
Evidence	The recommendation includes enough utilization, cost, and ownership context.
Decision	Owners approve, dismiss, snooze, or route the action.
Execution	Approved actions go through workflows, automation, or manual change paths.
Verification	Realized savings and post-change state are reconciled.

Safe optimization posture

Start with high-confidence, low-risk recommendations. Use approval-required workflows for production changes, commitments, Spot migrations, and destructive actions.