How CloudBooster turns infrastructure intent into governed production changes
Every infrastructure change, whether it started in the UI, from Terraform, or from an agent, follows one governed path: propose the outcome, run checks, obtain approval, apply in your account, verify and record the result, then monitor for drift. Nothing reaches production without passing the gates you configure.
Before you deploy
Not every question needs a ChangeSet on day one. You can iterate on architecture and policy direction first, then promote into governed apply when the change is ready for production.
When you are ready for governed apply in your cloud account, the six-step lifecycle below is what the hosted Platform runs in AWS today.
The six-step governed lifecycle
People, pipelines, and agents can all produce infrastructure diffs. CloudBooster runs every change through the same lifecycle so approvers, auditors, and on-call all use one object: a ChangeSet with plan, check results, approvals, and what applied. The flow below is what we ship.
The six steps
1. Propose: describe the intended change
You state the outcome you want; the product compiles intent into a plan and binds it to one change object with author and target environment, which is what enters Check.
1. Propose: describe the intended change
You state the outcome you want; the product compiles intent into a plan and binds it to one change object with author and target environment, which is what enters Check.
Propose is where you name the target state: new service, security group change, DNS, scaling, or similar. CloudBooster compiles that intent into a concrete plan and attaches IaC when that fits, all on one change object you can review. The proposal has identity, author (person, pipeline, or agent), and account context, so the next steps always target the same work.
Intent, plan, and environment travel together. That is the structure automated checks and approvals need, instead of a loose file or a thread that may never match what actually ran.
2. Check: validate before anything reaches production
Checks run against the real proposed change in your account and policy context, for security, cost, and conflicts, with the same rules for human and generated edits.
2. Check: validate before anything reaches production
Checks run against the real proposed change in your account and policy context, for security, cost, and conflicts, with the same rules for human and generated edits.
Check executes your policy and validation suite on the proposal, not a static screenshot. That includes security and compliance rules, cost and blast-radius signals, and conflict with what is in flight. The run is tied to the environment and risk tier you configure.
The same check suite runs whether the last edit was typed by a person or produced by a tool. Failures return concrete reasons so reviewers spend time on judgment, not re-deriving whether a port is open to the world.
3. Approve: human or policy sign-off with full context
Approval is the recorded decision that this change may run in this environment now, with checks, plan, and proposer visible to the approver.
3. Approve: human or policy sign-off with full context
Approval is the recorded decision that this change may run in this environment now, with checks, plan, and proposer visible to the approver.
The approver sees what ran in Check, the plan, who proposed, and the risk information your tier exposes. Higher tiers can require different people to propose and to approve production changes when your policy says so. Low-risk paths in non-production can auto-approve under constraints you set; production paths still get a stored decision.
That decision sits on the same ChangeSet that Apply will execute, so later audit and incident review read one chain, not a ticket that says "approved in meeting" with no link to the run.
4. Apply: controlled execution in your AWS account
Apply runs the approved change in your AWS account under roles you delegate, with a controlled run that can stop on bad or unexpected state.
4. Apply: controlled execution in your AWS account
Apply runs the approved change in your AWS account under roles you delegate, with a controlled run that can stop on bad or unexpected state.
Bring-your-own-account: your workloads and data are not re-hosted in our layer to get governance. Apply uses the plan and evidence from the prior steps, makes failures visible at change time, and records what the platform observed.
Build and test can stay in your existing CI. This step is the governed, account-level apply with a legible before and after on the ChangeSet record.
5. Verify: confirm the outcome and detect drift
Verify records what actually happened against what was approved, not only that a command exited zero.
5. Verify: confirm the outcome and detect drift
Verify records what actually happened against what was approved, not only that a command exited zero.
After apply, the product captures outcome versus intent so drift and incidents have a target state to compare to. You can add post-apply health and configuration checks so the ChangeSet still tells one story for ops and for review.
That record supports both a one-time change and ongoing alignment when you compare live state to what was approved last.
6. Monitor: catch regressions while they are still small
Monitor surfaces unhealthy state, drift, and regression after the change, linked back to change and approval rather than only to generic alarms.
6. Monitor: catch regressions while they are still small
Monitor surfaces unhealthy state, drift, and regression after the change, linked back to change and approval rather than only to generic alarms.
This sits next to your observability stack, not in place of it. Signal ties to the governed object so a fix or a hotfix is easier to fold back into the record.
The first product focus is new AWS work; import and wider coverage follow the public roadmap.
What is a ChangeSet?
A ChangeSet is the atomic unit of governed infrastructure change. It holds proposal, check results, approvals, apply outcome, and verification. It is the row you filter in history, the anchor for usage as plans scale, and the answer to "what changed and who signed off before this incident."
Published tiers scale with team size, projects, environments, and deployment volume, as in the pricing page. You pay your cloud provider for infrastructure; CloudBooster is the control plane and governance fee.
Try the governed path on your AWS account
We are running a limited early pilot for teams building new infrastructure on AWS. If this lifecycle matches how you want to work, apply and we will walk through account scope, policy, and onboarding.
Where to go next
Security, pricing, FAQ, or home.