A model of the whole estate, checked against best practice as it is built.
The gaps are not in the dashboards. They are between them.
The IT Operations Engine builds a model of the whole estate and cross-references independent passes against each other. That is how the things dashboards miss come to light. A backup plan reporting success against a vault with no recovery points, or a patch schedule that has never run because no server carries the label it looks for.
What a real inventory has to do
The engine inventories AWS, Azure and Google Cloud estates across every region and every enabled service, building a point-in-time model of what exists, how it is configured, and how it has changed. Discovery itself changes nothing. What it makes possible is the tagging work, and the cleanup that follows under your authority model.
Want to see what is actually in the estate?
Read-only access to the accounts in scope is enough. A first model is usually available within days.
Discovery changes nothing in the estate. It gives you the position everything else starts from.
We take read-only access to the accounts in scope. A first model of the estate is usually available within days.
Independent passes are cross-referenced against each other, so contradictions surface. Orphaned resources are verified individually rather than assumed.
The engine reads your tagging standard, checks every resource against it, and raises the pull request that closes the gap, with placeholders where a value cannot be inferred.
If your tagging standard is not enforced, the first thing we surface is exactly that, and how far the estate is from meeting it.
You gain:
FAQ
Compute, storage, databases, networking, identity roles, serverless, containers, messaging, secrets and monitoring across all three clouds. The list grows with each release.
Only if a tag says so. Where ownership is missing, the engine tells you where, and the tagging remediation is the fix.