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Cloud architecture
& infrastructure-as-code.

Infrastructure that works in production, not just in diagrams. Private cloud, hybrid, multi-cloud, drawn from fifteen years building it before anyone called it DevOps.

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What we build

The infrastructure your AI runs on, and everything else.

Most of the AI conversations in 2026 are really infrastructure conversations in disguise. Where does your data live? Who can reach it? How does the model get to it without leaving the boundary? What does it cost? What breaks when traffic doubles?

Privian has been answering those questions for nearly every Fortune 100. The same patterns work for a fifty-person startup or a regional bank: scaled appropriately, costed appropriately, and engineered to keep working when nobody's watching.

The capabilities

AWS, Azure, and GCP. Architecture and implementation across all three. We have a default shape we reach for, but we won't fight your existing platform unless there's a reason to.

Infrastructure-as-code. Terraform for the cloud, Ansible for the configuration, Kubernetes when it earns its keep. State management, module structure, plan-on-PR / apply-on-merge CI.

CI/CD pipelines. Build, test, deploy. Plan and apply gates. Secret management. The kind of pipeline you can hand a junior engineer without worrying about prod.

VMware modernization. vSphere, NSX, vRA: when to keep them, when to lift, when to walk away. We helped build that ecosystem and we'll tell you the truth about it.

Multi-tenancy & security. Row-level security, tenant scoping, OPA policy, secrets at rest, encryption by default. The cheapest day-one decision is the most expensive one to defer.

Cost optimization. Right-sized instances. Reserved capacity. S3 tier transitions. The cloud bill that doesn't quietly double every six months.

Typical deliverables

  • Production-ready cloud architecture with diagrams and ADRs
  • Terraform modules in your repos, structured for your team to extend
  • CI/CD pipelines with plan/apply gates wired in
  • Runbooks for the operational stuff that breaks at 2am
  • A cost model and a path to right-sizing

Ideal fit

  • You're standing up cloud infrastructure for the first time and want it done right
  • Your existing infrastructure works but nobody can touch it without breaking something
  • You're paying too much and don't know exactly where the leak is
  • You're modernizing off VMware and need a sane migration path

Engagement models that fit

  • Fractional SE: embedded with your platform team
  • Scoped Project: a specific migration or buildout
  • Fractional CTO: if cloud strategy is part of the bigger question

Related writing

The thinking behind the practice.

Cloud
The AWS-native shape I actually start with

API Gateway, Lambda, Cognito, RDS+pgvector, Bedrock, S3, EventBridge, SQS, CloudFront, CloudWatch. The smallest cloud shape that actually ships.

 Cloud
Auth and multi-tenancy from day one

The cheapest day-one decision is the most expensive one to defer.

 Cloud
The data layer: RDS, pgvector, secrets, encryption

One Postgres for both your relational data and your embeddings. The MVP-grade data layer that doesn't need a forklift later.

Need cloud done right, or done over?

We've stood up infrastructure for the Fortune 100 and for fifty-person teams. Same patterns, sized to your reality.

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