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FinOps capability

Skip the generic tips. Get recommendations that fit.

Get savings tips based on real usage and setup, showing the workloads they actually affect.

Recommendation queue · 1 of 12
checkout-apim5.2xlarge · payments-prod · us-east-1Oversized
CPU · last 14 daysAvg 14% · peak 31%
Proposed changem5.2xlarge → m5.largeEst. saving$412 / month
  • RiskLow · stateless service
  • OwnerPayments team
  • ConsiderationsPeak traffic Fri
  1. Identified
  2. Assigned
  3. Approved
  4. Savings verified

What it does

Prioritize savings with operations in mind.

Get savings tips based on real usage and setup, not generic lists.

Data in

Cloud & operational data

Approved sources and scope

→

Analysis

Context & decisions

Rules, economics, ownership

→

Result

Measured outcomes

Review, validate, report

Why it matters

Optimization that respects the workload

Find waste and oversized resources, with each tip treated as a suggestion to review, not an order.

Example

Review an oversized server, confirm its usage with Engineering and record the approved fix.

Data and results

Every recommendation shows its reasoning.

Required data and dependencies

Cloud inventory, configuration, cost data and supported resource-utilization telemetry.

Operational outputs

Context-rich recommendation queue, estimated opportunities and implementation tracking.

Related capabilities

Released capability

See AI-Assisted Optimization Recommendations in context.

Check how this feature fits your cloud, data, permissions and business needs.

Availability note

The CloudScore product team confirms what’s available; setup depth and requirements depend on your deployment.

Book a demo

See what your data recommends.

We’ll show this feature with examples like yours and explain the data and permissions it needs.