DataPatronsFig. — Services
GCP Cloud Architecture & Application Migration
Move to Google Cloud — or make what's already there production-grade — without a rewrite-first gamble. We design GCP-native architecture and run migrations as a phase-gated engineering process: a plan you approve before anything touches production, not a black-box lift-and-shift.
- For
- Teams migrating to GCP, or hardening what's already there
- Engagement
- Technical advisory · Fixed-scope delivery · Embedded engineering
- Proof of work
- Cloudwright migration engine ↗
The problem
Teams considering a move to Google Cloud, or already running there, usually hit the same wall. Migrations get pitched as either a slow, fully manual re-platform, or a fast, AI-assisted one-shot rewrite with no audit trail and no checkpoint before it touches your production account. Neither is something you'd bet a live business on. And once you're on GCP, "it works" isn't the same as "it's production-ready" — IAM sprawl, missing rate limiting, and undocumented infrastructure drift are common even in genuinely working systems.
Who this is for
- Teams running production workloads on AWS (or on-prem) evaluating a move to Google Cloud
- Teams already on GCP whose architecture grew organically and now needs a real security, cost, or reliability review
- Startups and SMBs standing up new GCP-native infrastructure for the first time
- Engineering leads who want a migration plan they can review and sign off on — not a black box
What we deliver
- A phase-gated migration plan — workload analysis, target GCP service mapping, and a rollback strategy, reviewed and approved before any transformation runs
- GCP-native architecture: Cloud Run/GKE, load balancing, IAM, and networking designed for production, not left on defaults
- The entire environment as Infrastructure as Code (Terraform), checked into version control — no click-ops
- A security posture built in from day one: least-privilege service accounts, a WAF and rate limiting in front of anything public, structured logging and alerting
- A working CI/CD pipeline so deploys are repeatable, not manual
Technologies & platforms
How we work
- 01Assess
- 02Plan
- 03Migrate
- 04Validate
- 05Operate
Security & production-readiness
Every engagement treats security as part of the deliverable, not a follow-up phase. That means least-privilege IAM and service accounts from the first Terraform apply, secrets in Secret Manager — never in code or CI logs — a WAF and rate limiting in front of anything public, and structured logging wired to alerting before launch, not after an incident. This site runs on exactly that stack: Cloud Run behind a global HTTPS load balancer with Cloud Armor, Terraform-managed end to end, least-privilege service accounts, and secrets pulled from Secret Manager at deploy time.
Proof of work
Cloudwright— our own migration engine — is the clearest example of how we think about this problem. It's a phase-gated pipeline that analyzes AWS serverless workloads, proposes a GCP-native migration plan, and will not transform a single file until a human has reviewed and approved that plan. Every AI-assisted step is schema-validated and cached by input hash — nothing is a one-shot guess. Read the full case study →
Frequently asked questions
Do you migrate from AWS or on-prem, or only work within GCP?
Both. Most engagements start as an AWS-to-GCP (or on-prem-to-GCP) migration; others are pure GCP architecture work for teams already there.
How do you avoid downtime during a migration?
The migration plan is phase-gated and reviewed before execution, and we cut over incrementally wherever the workload allows it — traffic splitting on Cloud Run, blue/green on GKE — rather than a single big-bang switch.
Do you write Infrastructure as Code?
Always. Every environment we build is Terraform-managed and checked into version control — no manual console changes that only exist in someone’s memory.
Can you review an existing GCP setup without a full migration?
Yes — an architecture and security review is a common starting engagement on its own, and often surfaces enough IAM, cost, or reliability issues to be worth doing by itself.
How long does a typical migration take?
It depends on workload count and complexity — a single serverless service can move in weeks; a full application estate is a multi-month, phased program. The Assess step gives you a concrete estimate before you commit to anything.
Do you help with cost optimization after we’re live?
Yes, as part of the Operate phase — right-sizing Cloud Run concurrency/CPU, checking for orphaned resources, and reviewing committed-use discounts once real traffic patterns exist.
Have a migration or GCP architecture problem?
Tell us the problem. We'll bring the architecture. A first conversation costs nothing.
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