Engineering and enablement
Cloud: a governed cloud, new or existing, on the four major providers
A governed cloud, delivered as infrastructure-as-code on AWS, Azure, Google Cloud (GCP) or Oracle Cloud (OCI), with DevSecOps built in from the first commit. A new foundation stood up from zero, or your application deployed onto the cloud you already run. Your cloud architects define the platform architecture, its standards and its security controls once. Every project's cloud is then designed against them, reviewed by someone other than its author, and generated from the approved plan. It is built from the provider's own modules where they fit, and from modules engineered in our labs where they do not.
FORGE is the engineering platform we deliver your cloud with, against your architecture standards and security controls. BtSavvy's engineers do the work inside your cloud accounts and your controls. Or your platform team does it on FORGE, with our forward-deployed engineer beside them teaching as they build. Your team keeps the definitions and the capability to maintain them. The workload decides the provider. We weigh inference economics, identity and data residency, the primitives the workload needs, and team skill together, on any of the four. Nobody deploys from a laptop. Code goes to your repositories, your repositories trigger the pipeline, and the pipeline deploys. Neither an engineer nor an AI agent is given a direct route into production. Threat modelling for AI workloads is designed in from the start. That is the foundation for services your business owns and runs to the standard a SaaS provider holds itself to.
What the client gets
Two offerings. Engage either on its own.
A cloud foundation, built from zero. A landing zone with identity, security and governance built in. The full infrastructure-as-code estate, with DevSecOps-based infrastructure management from the first commit. AI-assisted automation generates the estate from the approved design, with security checks and human review in the path.
Governed deployment onto the cloud you already run. FORGE builds the target environment on your existing cloud as infrastructure-as-code. Your application is deployed onto it with your standards applied on the way.
In both, this is what you get.
A read-only picture first. Discovery of an existing account changes nothing. It records what is there, the constraints your platform team imposes, and what the deploy identity may do. Nothing in the account changes until a person on your side has agreed to the change.
Plans reviewed, and cost checked from plan to production. Three plans. The deployment plan says how software reaches its environments and who may order a rollback. The pipeline plan sets the stages and who approves a production deploy, a step it does not allow to be removed. The infrastructure plan says which resources, how big, who may touch them, and what they cost. Each is approved by someone other than its author, after security, cost, reliability and recovery reviews. Projected spend is checked against the agreed ceiling before the infrastructure plan is approved. A plan over the cap is refused; the options are to shrink the estate or have finance raise the ceiling. Generation stops if the plan or its budget policy has changed since review. The pipeline fails a run while a release is over budget, and a budget alarm in production pages a person.
Trust and secrets that stay out of the AI tools. The pipeline gets its own identity and a deploy role scoped to one repository. Infrastructure state sits in protected storage. They go live only after a named engineer's approval, and re-running the setup is the drift check. Secret values go straight into the vault without passing through the AI tools or any file.
Infrastructure you can inspect and maintain. You receive the definitions, a resource inventory and a per-resource cost estimate. A record links them to the approved plan. Changes to encryption keys, identity and private networking receive additional verification. For an existing estate, the generated change plan must pass a check for data-destroying replacements before it proceeds. Dashboards, alert rules, service-level objectives and paging are declared in the plan and generated with it, so the alarms mean something on the first day. The application's own operator is built from the same design, ready for Run. The release runbook is assembled from what was generated, and an entry with no source stops it being produced.
When to engage
Engage Cloud's foundation build when you need a new, governed cloud environment for a provider, region, tenant or business unit. Engage its governed deployment when you already run a cloud and need an application delivered onto it as infrastructure-as-code. And when your teams are being asked to become experts in a second or third provider. Your standards should travel to the new provider, so your people do not have to.
Accelerators on this service
Cloud engagements draw on tooling we built for the work. It covers environment provisioning, landing-zone templates for each major provider, workload onboarding and infrastructure-as-code generation. Where a provider's own module fits your standard, we use it. Where none does, the module comes from our labs, engineered to the same review. Your data and your intellectual property stay yours.
Adjacent services
Cloud is consumed by Build, whose applications run on it, and by DevSecOps, whose pipelines deploy to it. Run's operators watch it and Assurance reads its evidence. Where cloud posture is the bottleneck, Cloud is the service to engage first. AI Strategy & Architecture sets that posture where it is engaged before Cloud.
Talk to us about your cloud: building one, or governing the one you run.
Most engagements begin with the FORGE Diagnostic. For cloud, it takes one workload or footprint you select. We build a working slice of it to your standards, inside your security controls, and deploy it where you can watch it run. You keep the demonstration, its evidence and a readiness assessment, with a proposed next step.