Private beta — owner-approved access

AWS cost optimization, from a read-only role

AWS is where CloudJaeger is strongest, because it is where we have proven the most on our own bill. A read-only IAM role turns your Cost and Usage data into owned, ranked findings — bill-backed, projected until graded, and never acted on without you.

The problem: AWS spend outgrows the people watching it

AWS makes it trivial to add cost and hard to attribute it. Cost Explorer shows the totals, the CUR holds the detail, and yet the practical questions stay unanswered: which service and account drove this month’s increase, which team owns that service, which of the ranked “recommendations” are safe to act on, and what any of them are really worth once the invoice lands. Teams end up either ignoring the numbers or chasing them manually, one spreadsheet at a time.

The gap is rarely data — AWS gives you plenty. The gap is a trustworthy, owned, ranked view that connects a spend line to a person and a safe next step. That is the specific problem CloudJaeger is built to close on AWS first.

A read-only IAM role with a policy you see first

Connecting AWS means creating a read-only IAM role whose exact policy we publish before you connect. No agent runs in your account, nothing is installed on your workloads, and the role is yours to delete at any time. From it, CloudJaeger reads billing and inventory only — the minimum needed to explain your bill, and nothing that can change your account.

Where you have Cost Explorer and the Cost and Usage Report configured, CloudJaeger uses them as the source of truth. Spend is bill-backed: synced from your bill and reconciled against it rather than estimated. On our own AWS estate that reconciliation lands within about 1% of the CUR, window-aligned — and the same reconciliation check runs on yours in week one, so the numbers you act on are the numbers your finance team already sees.

Services, ownership, topology, and findings — in one place

Once the bill is in view, CloudJaeger builds the working context around it. Spend lands on services with an owner source on every row, so unowned cost is visible instead of buried. An auto-generated topology map shows resources by account, region, and VPC with inferred relationship edges, so you can see where spend lives in the architecture. And every engine — waste, right-sizing, commitments, architecture review — feeds one ranked queue of advisory findings, each with its evidence attached.

Every dollar figure is projected: an estimate, tagged as such, until a real invoice moves and grades it against your bill. Nothing is shown as money already saved. That restraint is what makes the numbers usable in a real FinOps conversation rather than a marketing one.

An AWS finding, evidence attachedIllustrative example — not customer data
  1. 1Bill-backed spend An EC2 family’s cost is read from the CUR line, reconciled to the invoice — not an estimate.
  2. 2Owner source The instance resolves to a configured or inferred owner, so the finding has a destination.
  3. 3Ranked, reversible A right-size with a 14-day utilization basis ranks by confidence, risk, and reversibility.
  4. 4Projected, then graded The figure stays a projection until the next invoice grades it against your real bill.

No automatic execution — you stay in control

CloudJaeger does not act on your AWS account on its own. Execution ships off; arming it requires a written mandate with caps and a named approver on every run, and live commitment purchases are hard-blocked today. The everyday posture is advisory: CloudJaeger does the analysis and ranks the choices, and a human decides what actually changes. For a system touching production spend, that is the feature, not a limitation.

Beyond AWS, we stay honest about scope: AWS today; Azure and GCP are connected and labeled by proof level. AWS is proven on our own money; other clouds connect on real credentials and carry their proof level on their face, never presented as equal to AWS.

CloudJaeger is in private beta. Access is manually reviewed and owner-approved — no public signup. No account is created until access is approved.

Request access and a founder reads it — a read-only first scan comes before anything else.

Turn your AWS bill into owned, ranked findings.

Read-only role, published policy, first findings in the first meeting — then you decide.