Virtual machine rightsizing
VM sizes matched to actual CPU and memory utilization, across every subscription you connect.
Product · For Azure
Azure spend, rightsized automatically. Shipped as a pull request.
Jetscale AI connects read-only to your Azure subscriptions and continuously finds VM, disk, and storage opportunities, each one delivered as a PR-ready Terraform diff against your own repo.
VM & disk rightsizing Reserved Instance alignment Blob lifecycle tiering
What gets optimized
Every corner of your Azure bill, covered.
The Analyzer Agent scans across services, not just virtual machines, so waste hiding in storage, commitments, and clusters gets found too.
Managed disk optimization
Oversized Premium SSDs, unattached disks, and disk-tier mismatches found automatically: a recurring theme on Azure estates.
Blob storage tiering
Cool and Archive tier candidates identified from real access patterns, not a one-time guess.
Reserved Instance & Savings Plan alignment
Commitment coverage checked against actual usage, so you're not paying On-Demand rates for steady-state workloads, or over-committing.
AKS rightsizing
Node pool sizing and pod resource requests tuned to real cluster usage.
Spot VM opportunities
Eviction risk simulated before recommending an On-Demand-to-Spot move, the same OptimizeSpot logic used on AWS.
Pre-verified savingsConnect read-only
A dedicated App Registration. Never your admin credentials.
Jetscale authenticates through a dedicated App Registration (service principal) that you create and control, using either a certificate or a client secret. Access is granted through built-in Azure roles (Reader, Cost Management Reader, and Monitoring Reader), scoped to the subscription level, or through an optional custom role for teams that want even tighter control. That custom role explicitly excludes sensitive actions such as listing or regenerating storage account keys, so even a compromised credential can't reach into your data plane.
See it in action
From finding to merged Terraform.
pull/196 · rightsize-analytics-vm.tf
resource "azurerm_linux_virtual_machine" "analytics_worker" {- size = "Standard_D4s_v3"+ size = "Standard_D2s_v3" resource_group_name = azurerm_resource_group.main.name network_interface_ids = [azurerm_network_interface.worker.id]}
OptimizeSpot · eviction-risk simulation
workloadbatch-etl / eastus
simulation30d usage replayed against Azure Spot pools
eviction risk
low
Safe to migrate: Pay-as-you-go → Spot VM
Running more than Azure?
Jetscale AI covers your whole footprint.
For AWS
EC2/EBS rightsizing, S3 lifecycle tiering, Spot via OptimizeSpot, and VPC endpoint gaps.
Learn more →For GCP
Compute Engine and persistent disk rightsizing, GKE tuning, and committed use discounts.
Learn more →Cloud waste
The full story on how waste is found, ranked, and why it keeps coming back without continuous monitoring.
Learn more →Get started
See your number before you spend a dollar.
Read-only connection. Evidence-backed findings. PR-ready fixes. Invoiced only when savings land.