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Cloud Architecture & Optimization

Cloud Architecture

Cloud accounts usually grow by accretion: one project, one exception at a time, until nobody can say what’s secure, what’s running, or what it should cost. We design foundations deliberately — account structure, networking, security, and cost guardrails set before the workloads arrive — on Google Cloud and AWS.

What You Get

A foundation that makes the next hundred decisions easy.

Security as structure

Identity, network boundaries, and encryption set at the foundation layer — inherited by every workload instead of re-decided (or forgotten) per project.

Cost discipline built in

Budgets, alerts, and tagging from day one, so spend is attributable per team and product before it becomes a mystery line.

Room to scale

Landing zones and patterns that absorb growth — new teams, new regions, new compliance needs — without a re-platforming project.

Operable by your team

Documented patterns and sensible defaults. A foundation only its architect can run is a liability, not an asset.

Scope

What’s included.

  • Landing zone design — account/project structure, networking, and shared services
  • Identity & security baseline — IAM model, policies, encryption, logging
  • Cost guardrails — budgets, alerts, tagging standards, showback reporting
  • Workload architecture — design for your first workloads, with patterns to copy
  • Reliability patterns — backup, recovery objectives, and failure design per workload tier
  • Documentation & walkthrough — the foundation explained to the team who’ll run it

At a Glance

  • Platforms: Google Cloud (deepest) and AWS
  • Method: Proof-First Build
  • Typical scope: 2–4 weeks for a foundation design + first workloads
  • Certifications: Google Cloud Professional Data Engineer
  • Often follows: A Cloud Cost Audit of the existing estate
FAQ

Questions about this service.

We’re already on cloud, messily. Too late?
No — foundations can be retrofitted in stages: guardrails and visibility first, structure migration second, workload by workload. The audit tells us where the risk actually sits before anything moves.
Google Cloud or AWS?
Whichever your team, data, and existing commitments point to — we work deeply in both and will show you the trade-offs for your workloads rather than a house preference. Most of our AI and data work lands on Google Cloud; plenty of estates are AWS for good reasons.
Do you handle compliance certifications?
We build the technical controls and evidence trails that frameworks like SOC 2 require. The audit and certification itself stays with your assessors — we make their job easy.
What does our team need to learn?
The patterns, not a new profession. Handover includes the reasoning behind the structure, so your team can extend it without us.
Related

Often paired with.

Cloud Cost Optimization

For existing estates: find the waste, then fix the structure.

Explore

Cloud Migration

Moving workloads onto a foundation built to receive them.

Explore

Data Engineering

The workloads foundations most often exist to serve.

Explore

Start with a fit call.

Thirty minutes. Bring the problem as it actually is — the stalled pilot, the bill, the spreadsheet everyone quietly maintains. We’ll tell you honestly whether we’re the right builder for it.

You leave with a straight answer on fit — and if it fits, a free Blueprint to follow.

Request a fit call How Proof-First Build works