GCP Cloud Architecture
Cloud infrastructure
built to last.
I design GCP environments that teams can build on, trust, and scale — with security and cost controls baked in from day one, not bolted on later.
10+
Years in cloud infrastructure
GCP
Primary platform — all major services
IaC
Everything in Terraform, nothing manual
What I solve
Four areas where cloud decisions compound
Mistakes in these areas cost months and budgets to unwind. I focus here because getting them right early changes the trajectory of everything built on top.
Landing Zone Design
Your cloud foundation, done right the first time. Multi-tenant GCP environments with security, compliance, and cost guardrails built in before any workload is deployed.
Security & Compliance
Org policies, VPC-SC perimeters, IAM zero-trust, and audit pipelines that satisfy regulators without blocking engineering velocity.
Cost Optimisation
FinOps programs that make cloud spending visible and controlled. Committed use strategies, idle resource elimination, and architecture right-sizing with measurable outcomes.
AI & Automation on GCP
Vertex AI pipelines, Cloud Run Functions, and event-driven architectures that automate decision loops, reduce operational toil, and scale without headcount.
How I work
A structured engagement, every time
The same repeatable process whether it's a two-week architecture review or a six-month platform build. Predictability is a feature.
01
Discovery
We map your current state: team structure, compliance requirements, existing infrastructure, and the pain points that matter most. No assumptions, no templates applied without thought.
02
Architecture
I produce reference architectures, data-flow diagrams, and decision records — something your engineers can build from without ambiguity and your leadership can approve with confidence.
03
IaC Delivery
Production-ready Terraform modules, not scripts. Version-controlled, modular, documented, and handed over in a state your team can maintain and extend.
04
Optimisation
Post-deployment reviews, cost baselining, and architecture tuning as usage patterns emerge. The work isn't done when the infrastructure is up.
Architecture patterns
Problems I've solved before
Anonymous case studies — no company names, no confidential details. The patterns and outcomes are real.
Landing Zone for a Scaling Product Org
Context
A product engineering organisation consolidating workloads across three environments with no existing cloud governance model.
Approach
Designed a GCP org structure with folder hierarchy, shared VPC, and automated project provisioning via Terraform. Org policies enforced before any team migration.
Outcomes
- ✓Standardised environment provisioning
- ✓Network segmentation from day one
- ✓Policy guardrails preventing configuration drift
Cost Governance for an Uncontrolled Footprint
Context
A GCP environment with rapidly growing spend, no cost attribution, and no team ownership of cloud resources.
Approach
Implemented a resource tagging taxonomy, budget alert hierarchy, and committed use discount strategy aligned to actual consumption patterns.
Outcomes
- ✓Full cost attribution by team and product
- ✓Proactive budget enforcement
- ✓Significant reduction in waste spend
Regulated Workload Architecture
Context
A data processing workload subject to financial regulation requiring external audit readiness with no security architecture in place.
Approach
Designed VPC Service Controls perimeter, CMEK enforcement, and a structured audit log pipeline. IAM roles scoped to least privilege across all services.
Outcomes
- ✓Clean result on external security assessment
- ✓Audit-ready log retention and access trail
- ✓Zero standing access to production data
Contact
Let's talk about your cloud
Whether you're starting from scratch, untangling an existing environment, or preparing for audit — I'm happy to have an initial conversation with no commitment.