Cloud cost optimization, proven on your bill

A FinOps dashboard shows where the spend goes and leaves the fix to your team. Jetscale goes further. It turns each opportunity into PR-ready Terraform your engineers review and merge through their normal workflow, with the evidence behind it, then tracks each saving until it is realized on your bill.

No. Monitoring shows signals and incidents. Jetscale uses those signals (plus cost and configuration context) to generate optimization recommendations and fixes.

Jetscale looks across compute, storage, databases, containers and network. On AWS that covers EC2 and EBS rightsizing, S3 lifecycle tiering, RDS, Redshift and DynamoDB sizing, ECS and EKS resource requests, Spot moves and missing VPC endpoints. On Azure it covers virtual machines, managed disks, Blob tiering, AKS and reservation coverage, and on Google Cloud, Compute Engine, persistent disks, GKE, BigQuery, Cloud Storage tiering and committed use discounts. Each finding comes with a recommended action, such as rightsize, move to Graviton or Spot, scale in or delete, and a dollar estimate.

Each recommendation carries what an engineer needs before touching production: the implementation effort, whether a restart is required, whether the change is rollback-safe, the exact resource IDs affected and the evidence behind it. The fix ships as a structured plan covering what changes, the expected impact and the safest rollout path. Your team reviews it like any other change, merges it only when satisfied, and confirms the impact after rollout.

Jetscale only recommends moving a workload to Spot after OptimizeSpot has simulated its eviction risk against that workload's own usage history. If the move isn't safe, it isn't recommended. The same check runs for Spot on AWS, Spot VMs on Azure, and Spot and preemptible VMs on Google Cloud, and the move ships as code your team reviews like any other change.

No. Jetscale only reads from your cloud and never holds write access to it. Every connection uses a dedicated, least-privilege identity limited to read operations, with no standing write access and no shared or long-lived credential. Each fix arrives as PR-ready Terraform, or as a step-by-step ClickOps runbook, and nothing changes until one of your engineers merges or applies it. Connecting GitHub or Azure DevOps so Jetscale opens the pull requests itself is optional. The permissions for each cloud are listed below.

Self-funded, with guaranteed ROI. Jetscale charges a fixed annual license fee, sized on the cloud estate it covers, and verifies savings against your actual bill. If verified savings come in below the fee, we credit the difference. Net of the savings, the most you'll ever pay is $0.

A commitment broker lowers the rate you pay by buying reserved instances and savings plans for you. Jetscale lowers what you need to buy in the first place: right-sizing, storage, idle resources and network, across AWS, Azure and GCP. The two stack, and your commitments then cover a smaller baseline. By the end of 2026, Jetscale will also bring full commitment and capacity planning into the platform, so you can size the baseline and plan the commitments that cover it in one place.

Autonomous optimizers change your environment for you, so they need write access to your cloud, often through an agent running inside it, to apply whatever they decide. In an enterprise that's a hard trade: one bad change in production can cost more than it saves, and a vendor holding the keys to your infrastructure is a risk in itself. Jetscale is built for that setting. It stays read-only and hands your team each change as code, with the evidence behind it, so you decide what changes and when. No vendor gets write access to your cloud, and nothing changes until your engineers merge it.