Google Cloud Architecture & Solutions
Production systems on Google Cloud, built to run and yours to own
We design, build, and deploy cloud systems on Google Cloud Platform: the project structure, the infrastructure as code, the CI/CD, and the monitoring. You get scalable systems your team can run, with dependable uptime and costs you can see.
What is Google Cloud (GCP) architecture consulting?
Google Cloud architecture consulting is the design and build of your GCP environment end to end: project and network structure, IAM, compute on GKE or Cloud Run, data platforms like BigQuery, infrastructure as code, CI/CD, security, and observability. Done well, it gives you a scalable, cost-efficient platform that your own team can run and extend.
Key Facts:
- Scope: project and folder structure, VPC networking, IAM, compute, data platforms, IaC, CI/CD, security, observability
- Strength: BigQuery, Dataflow, and Vertex AI make GCP a strong home for data and machine-learning workloads
- Approach: infrastructure as code with Terraform so environments are reproducible and auditable
- Best for: data-heavy and AI workloads, GKE-based platforms, and teams standardizing on Google Cloud
- Cloud-agnostic: we also build on AWS and Azure and recommend the platform that fits your stack
Why Teams Build Their Google Cloud Platform With Us
We are senior engineers who build the system, hand you the keys, and stay on to run it as long as you want us. No juniors on your budget, no black box, no lock-in you did not choose.
Built for Scale
GKE, Cloud Run, and autoscaling patterns that handle growth without manual intervention or weekend fire drills.
Data and AI Ready
BigQuery, Dataflow, and Vertex AI wired in so your data becomes something your team can query, and a foundation you can build AI agents on with Agent Builder.
Cost You Can See
Right-sizing, committed-use discounts where they fit, autoscaling, and budgets and cost monitoring wired in from the start.
Infrastructure as Code
Your whole environment defined in Terraform: reproducible, version-controlled, and auditable. No click-ops drift.
Security and Compliance
Least-privilege IAM, VPC Service Controls, secret management, and org policy applied consistently across projects.
You Own the Outcome
Documented architecture, clean handoff, and no lock-in to us. Your team runs and extends everything we build.
What We Build on Google Cloud
End-to-end GCP architecture, from project structure to the pipelines that keep it running.
Project & Network Structure
Organization, folder, and project hierarchy, VPC design, and IAM that scale cleanly as you add teams and workloads.
Compute & Containers
Google Kubernetes Engine (GKE), Cloud Run, and Cloud Run functions matched to each workload. We default to GKE Autopilot for a managed, cost-optimized setup, and use Standard where a workload needs more control.
Data & Analytics
BigQuery, Dataflow, Pub/Sub, AlloyDB, and Cloud Storage designed into data platforms, with governance and cataloging (Dataplex) so the estate stays discoverable and auditable as it grows.
Networking & Delivery
VPCs, Cloud Load Balancing, and Cloud CDN for secure, global, and performant delivery.
Observability
Cloud Monitoring, Cloud Logging, and Trace so you can see system health, trace issues, and act before users feel them.
Cloud Migration
Phased migration of existing workloads to Google Cloud, chosen per workload and run to minimize downtime with a clear rollback path.
How We Design and Build Your Google Cloud Platform
A structured path from assessment to a running platform your team owns.
Assessment & Strategy
Understand your workloads, constraints, and goals. Define the target GCP architecture and a plan that fits your team and budget.
Deliverables:
- Infrastructure and workload audit
- Target architecture and project design
- Cost model and estimate
- Risk and compliance review
Foundation & Landing Zone
Stand up the organization structure, networking, IAM, and security baseline as infrastructure as code.
Deliverables:
- Org, folder, and project structure
- VPC and network design
- IaC baseline (Terraform)
- IAM and org policy guardrails
Build & Migrate
Build the workloads or migrate existing ones, with CI/CD and testing so changes ship safely.
Deliverables:
- Workload build or migration
- CI/CD pipelines
- Integration and performance testing
- Data migration and validation
Optimize & Support
Tune cost and performance, wire in monitoring, and document everything so your team owns it. We stay on to support and grow it.
Deliverables:
- Cost and performance optimization
- Monitoring and alerting
- Runbooks and documentation
- Team enablement and ongoing support
Google Cloud Technology We Work In
The GCP services and tooling we build production systems on.
Compute
- GKE
- Cloud Run
- Cloud Run functions
- Compute Engine
Data & Analytics
- BigQuery
- Dataflow
- Pub/Sub
- Cloud SQL
- AlloyDB
- Spanner
AI & ML
- Vertex AI
- Agent Builder
- Model Garden
- Document AI
Networking & Delivery
- VPC
- Cloud Load Balancing
- Cloud CDN
- Cloud Armor
Security & IaC
- IAM
- Secret Manager
- VPC Service Controls
- Terraform
Observability
- Cloud Monitoring
- Cloud Logging
- Cloud Trace
Frequently Asked Questions
Get answers to common questions about our services
How this works commercially
We work three ways: a fixed price for scoped work, a monthly retainer for ongoing work, and hourly where the scope genuinely cannot be defined up front. Which one applies depends on how well the work can be described before it starts, and we will tell you which we think fits before you ask.
- Fixed price for scoped work
- Assessments, audits, and defined pilots are quoted as one number before anything starts. If the scope is knowable, the price should be knowable, and the risk of getting the estimate wrong is ours rather than yours.
- Monthly retainer for ongoing work
- Continuing leadership, build, and run work is billed monthly. This is the structure most engagements settle into once the shape of the work is clear, because it prices a relationship rather than a transaction.
- Hourly where scope is genuinely open
- Some work cannot honestly be scoped in advance. When that is the case we bill for the hours worked rather than inventing a fixed number and managing you toward it later.
- No long-term lock-in
- Engagements are not structured around multi-year minimum commitments. We would rather keep the work because it is worth keeping.
Who does the work
The people who scope your work write the code and ship it. No junior engineers are billed to client work, and the person you talk to in the first conversation is someone who will be building.
You own the code and the cloud accounts it runs in, and engagements end with documentation your team can run the system from. Full engagement terms, ownership, and procurement answers.
Let's design your Google Cloud architecture.
Tell us what you are running today and where you want to get to. We will map the architecture, the migration path, and what your team owns at the end.
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