Optimization engine
Find the waste. Ship the fix.
CarnotCloud runs 300+ checks across every cloud and cluster, quantifies each opportunity in dollars, ranks it by effort and risk, and delivers it to the engineer who owns the resource — inside the tools they already use.
300+
optimization checks across compute, storage, data, network and AI
20–40%
typical savings potential identified in the first 30 days
3×
more recommendations shipped when they arrive in engineers’ workflows
Capabilities
What you get with Optimization Engine
Orphaned & idle resources
Unattached volumes, stale snapshots, idle load balancers, unused IPs, zombie databases and forgotten dev environments.
Rightsizing
VMs, databases, caches and containers sized on real p95/p99 utilization — including memory, with headroom you control.
Modernization
Graviton/ARM, newer instance generations, gp2→gp3, managed-service and serverless opportunities with migration effort scored.
Storage & data lifecycle
Tiering, retention and lifecycle policies for object storage, backups, logs and snapshots.
Network & data transfer
Expose NAT gateway, cross-AZ and egress costs, and the architectural changes that eliminate them.
Scheduling
Identify non-production resources that can sleep nights and weekends, and automate the schedule with approval.
Five layers of waste
From obvious waste to architectural savings
Most tools stop at idle resources. CarnotCloud digs through five layers — orphaned, idle, over-provisioned, mispriced and architectural — so you capture the deep savings that compound year after year.
- Orphaned → idle → over-provisioned → mispriced → architectural
- Savings, effort and risk scored for every opportunity
- Dependency-aware: never recommends deleting what something still uses
- Custom checks for your own standards and policies
Built for engineering adoption
Recommendations that actually get shipped
Savings don’t happen in a dashboard. CarnotCloud routes each opportunity to its owner with the context to act: the evidence, the exact change, a Terraform snippet or AI-coding-agent prompt, and the dollar impact.
- Jira, ServiceNow, Slack and Teams with two-way status sync
- Terraform & CloudFormation patch suggestions
- Ready-to-run prompts for Claude Code, Cursor and Copilot
- Potential → in progress → realized savings tracking
- Require owner + cost-center tagsAll accounts
- Stop dev instances nights & weekendsdev-*, sandbox-*
- Alert when PR adds > $500/moGitHub · 214 repos
34% lower compute cost in one quarter
“Our engineers actually use it. Each saving lands in Jira with the exact change, the risk and the dollar impact, so it gets shipped instead of debated.”
FAQ
Optimization Engine: common questions
How are savings estimates calculated?
Will CarnotCloud make changes in our accounts?
Can we suppress recommendations that don’t apply?
Keep exploring
Works even better together
Commitment Intelligence
Model Savings Plans, Reserved Instances and Committed Use Discounts on your real usage.
Learn moreKubernetes Cost Intelligence
Bill-accurate Kubernetes cost allocation by cluster, namespace, workload, pod and label — with idle and shared cost distribution and request rightsizing recommendations for EKS, AKS, GKE and OpenShift..
Learn moreWorkflows & Governance
Tagging policies, guardrails, approval-gated remediation, Jira/ServiceNow/Slack workflows and cost estimates in every pull request.
Learn moreSee Optimization Engine on your own data.
Book a 30-minute demo tailored to your stack, or start with a free savings assessment — read-only, no agents, no obligation.
- Read-only, agentless setup
- First insights in 15 minutes
- SOC 2 Type II & ISO 27001
Monthly cost impact: +$1,240 (↑ 3.2%) for
payments-service2 × r6i.4xlarge added in
terraform/prod/rds.tf. Suggested: r7g.2xlarge (−$690/mo, same p95 headroom).