Frequently asked questions about CloudBooster

CloudBooster is a bring-your-own-account product that turns infrastructure intent into a governed path on AWS: you propose a change, automated checks and approvals run, you apply in your account, and the platform records the evidence. It is for teams that need end-to-end change governance more than they need “another place to run Terraform in CI.”

In your own AWS account. We use a BYOA model: you connect accounts you control, and the governed lifecycle applies to changes in those accounts. The product is not a generic host for your application runtime; it is a control plane and workflow for infrastructure change with an audit record. You pay your cloud provider directly, which is how most customers want cost and data residency to read on paper.

A ChangeSet is the atomic object that carries a single governed change. It is born at propose, runs through check and approval, and is what apply executes. Afterward, verify and monitor tie what you see in the world back to the approved state. The same object is what you use when someone asks, in an incident, “what changed, who approved it, and what was checked first.”

No. There may be assistant-style UIs to explain or draft intent, but there is a structured workflow for changes, not a free-form remote shell. Whether the proposed change comes from a UI, an API, or an AI coding agent, it still passes through the same checks and approval rules. Chat is not a bypass around governance, because “fast to prod” is how teams accumulate silent risk, especially with AI in the mix.

The current focus is new infrastructure on AWS, with a roadmap to import and cover more of existing estates and other cloud providers. If your primary pain is a huge brownfield import program on day one, you should ask us for timelines, not hope for a silent promise in marketing copy. Region coverage depends on the resources in play; for evaluations, go from your concrete stack to what we can govern today, not the other way around.

The strongest fit is lean engineering organizations where a small group still owns cloud work and a dedicated platform function does not exist yet. If you already run a mature internal platform with strict standards, you may get less lift, and we will say that frankly. The goal is self-selection, not a sales process that pretends one product is perfect for every enterprise topology.

The integration uses scoped roles you delegate in your account, with no default organization-wide admin soup. The policy is meant to be explainable: read what planning and checks need, write what an approved apply needs, and audit through the same APIs a disciplined operator would use. You can rotate and revoke the trust on your side. The exact document you paste into IAM is versioned in onboarding, not in a marketing FAQ. Use the published template for the release you are on, and have your security reviewer diff it like any other third-party access.

Workloads and customer business data in AWS stay in AWS under your accounts with BYOA. The SaaS service stores what it must to operate: account linkage, product metadata, change and audit records, and the usual support and contact handling covered in the privacy policy. If you are solving for EU residency questions, the legal and DPA path matters alongside architecture; BYOA is a strong story for the heavy data plane, and we can walk through the split in sales where needed.

Data processing terms, your DPA, and the privacy policy cover what we process as a SaaS provider: account metadata, contact details, and product telemetry. The sensitive business payload in AWS stays in your account under BYOA. EU questions are handled in contract review with our commercial organization; the legal layer sits alongside the architecture, not as a replacement for it.

A ChangeSet-oriented record: proposal, check results, approvals, and apply outcome, with a bias toward a coherent story instead of a pile of unconnected logs. Higher tiers add richer audit exports and longer retention, aligned with the pricing table. The honest limitation is: your SIEM is only as good as what you forward; we aim to make the product’s own record the canonical source of truth for “what we intended to run in prod.”

We do not claim SOC2 Type II on day one. We can walk architecture (BYOA, least privilege, audit chain), your IAM review, and a frank roadmap for formal attestations. Many early customers start with a technical review and contract terms, then revisit certifications as the company grows. If you need a badge more than a design discussion, you should know that up front so nobody wastes a cycle.

A malicious admin with full control of your account can still do damage. A compromised laptop with your cloud credentials can still do damage. CloudBooster is not a replacement for AWS Organizations guardrails, network segmentation, secrets hygiene, and incident response. It does reduce the everyday cases: unreviewed or AI-generated change hitting prod, and teams that cannot reconstruct what was approved. That is the class of problem we are optimized for, stated plainly.

Published tiers (Free, Starter, Growth, Premium) scale with team size, project and environment count, connected accounts, deployments, and the depth of governance features like approvers, policies, and audit export. The mental model is SaaS for the product layer and AWS invoices for the infrastructure you run; you are not double-paying for compute through us in the normal case. If you are budgeting, start from how many real changes a month you expect to flow, not from seat count alone.

There is a Free plan aimed at exploring the product with a bounded project and environment footprint, AI session limits, and a subset of security checks, per the public matrix. The typical early limit is not “can I click the UI,” it is how many projects and team members you can connect before you need a paid tier. If you are evaluating seriously, you will usually have a real conversation with us about a pilot that matches your size anyway.

You pay your cloud provider for what runs in your accounts. CloudBooster charges for the governance and product tier you choose. In practice, the AWS line item usually dominates infrastructure-heavy workloads; the product cost should be legible and predictable, not a surprise multiplier on your cloud spend. The pricing table breaks feature differences between tiers, including when separate approvers, audit export, and SSO appear.

The published plan cards list both monthly and annual display pricing where they apply. Annual is typically how teams standardize for budgeting. If you are past self-serve and need a non-standard term, you should use the contact path, especially for premium-style requirements that are not a straight SKU click.

You do not have to throw away your entire toolchain on day one. CloudBooster is meant to sit on the path to production and capture the governed lifecycle, not to mandate a brand-new layout just to satisfy the product. The important part is that the proposal, checks, and what actually applied are all recorded. Some teams will still do heavy authoring locally; the product is where the change becomes an auditable account-level act with the controls you want.

Not as a one-to-one replacement for every scenario. Those products are often centered on repository-integrated plan and apply, runners, and policy. CloudBooster is centered on a governed change lifecycle in your own cloud and on teams that are still maturing that practice. If you are a large multi-cloud org with a mature platform program, compare carefully and ask for the roadmap gap list instead of hoping for a silent match.

You can think of CloudBooster as the governed apply and record layer, not as “the only job that will ever run.” Many teams will still build, test, and package elsewhere. The integration point is: when you are ready to take an infrastructure change to an environment with policy, the ChangeSet and approvals are what matter for production. Exact CI patterns depend on the release you are on, but the product intent is to cooperate with existing dev workflows, not to replace them wholesale on day one.

The strongest fit is net-new and focused AWS work. Parity for other providers is a roadmap item, not something you should assume for a day-one program on Azure or GCP. If you need honest planning for a complex migration, use the contact and roadmap conversation instead of a checkbox in this FAQ.

The pain is not writing Terraform faster; the pain is shipping it safely. Lean teams get stuck in four common modes: a CTO bottleneck, unsafe AI-generated change, “too small for dedicated DevOps but too big for ad hoc scripts,” or consultant dependency. A governed lifecycle, checks, and approvals with evidence are the structural fix, not a pep talk.

The honest answer is: the strongest use today is new infrastructure on AWS. Importing and reconciling large existing estates is on the near roadmap, not a promise of parity the week you sign. If your purchase depends on a big-bang import, you should validate timelines explicitly. If you can carve off net-new or greenfield paths in parallel, you can get value now without pretending the brownfield problem is already solved in product.

The team behind TIDORA, an AWS Advanced Tier Services Partner, with years of production delivery. Operator judgment shows up in how seriously we take least privilege, evidence, and failure modes. In an evaluation, you should still do your own review. Background explains intent; it does not replace your checklist.