PREMIER GOOGLE CLOUD PARTNER

Get to Google Cloud in weeks, not months.

Facets uses AI agents to map your current setup, rebuild it on Google Cloud, and hand your team a platform they can run themselves. Any cloud or on-prem. No rewrite, no lock-in.

HOW IT WORKS

The 3-step migration process

Agents do the discovery and wiring; the platform launches and runs your Google Cloud-native environment.

Existing Environments
Any cloud or on-prem.
Step 01 · Agents
AI Discovery
Agents scan environments, Terraform, pipelines, configs, secrets, and wiring.
Step 02 · Agents
Auto-Wire to Google Cloud
Map resources to reusable Google Cloud-native modules (Flavors) via a cloud-agnostic Blueprint.
Step 03 · Platform
Launch on Google Cloud
Deploy Google Cloud-native environments, peer and cut over any unmigrated resources, with zero downtime.
THE DIFFERENCE

How Facets is different

Service-led migrations are slow and people-dependent. Facets makes them agent-led and repeatable.

Traditional service-led

People-dependent, built from scratch every time.

Discovery: engineers hand-map every service, config, and dependency over weeks
Execution: each landing zone is built from scratch, riding on a few key people
After go-live: hand-off ends at launch, teams inherit gaps and manual ops

Facets: AI + platform-led

Agent-led, consistent, and repeatable.

Discovery: agents auto-discover infra, code, and configs in days, roughly 66% faster
Execution: battle-tested modules make it consistent and repeatable, 80% less effort
After go-live: self-service is built in, so your team owns Google Cloud from day one
Result: Faster, repeatable migrations with clear day-2 ownership.

What it saves you

~66%
shorter migration timeline
80%
less DevOps toil
8-25x
faster shipping afterward
Zero
lock-in: Terraform you own
COVERAGE

Google Cloud services Facets supports

Facets maps your workloads to native Google Cloud services through its intent-and-flavor model, so you get Google Cloud-native infrastructure, not a generic lift-and-shift. The services below are representative, not the full list, and more besides are mapped the same way.

Compute

Compute Engine VMs for your application workloads, with declarative scaling, SSH keys, startup scripts, and VPC attach.

Kubernetes

Google Kubernetes Engine (GKE): managed clusters and node pools for your containerized services.

Serverless

Cloud Run for fully managed, request-driven container workloads with scale-to-zero.

Databases

Cloud SQL mapped from your existing data layer: managed Postgres, MySQL, and more.

Storage

Cloud Storage object buckets and Persistent Disk volumes for durable and persistent data.

Networking

VPC private networking and Cloud Load Balancing, wired straight into your environment.

DNS

Cloud DNS managed zones and records for routing traffic to your services.

Caching

Memorystore managed Redis-compatible caching wired into your environment.

Messaging

Pub/Sub topics and subscriptions for event-driven and asynchronous workloads.

Artifact Registry

Artifact Registry repositories for storing and serving your container images and build artifacts.

Identity and Access

IAM roles and service accounts for workload identity and least-privilege access, set per environment.

And more

Plus the rest of your Google Cloud estate, mapped through the same intent-and-flavor model.

WHY FACETS

Why Facets

AI does the heavy lifting

Agents handle discovery, wiring, and day-2 ops on top of Terraform and OpenTofu.

No lock-in

Cloud-agnostic blueprints mean the estate stays yours, on Google Cloud or anywhere.

Your team stays in control

Built-in self-service, so they own and run Google Cloud from day one.

We own the migration

Execution is on us, so your roadmap does not stall.

Ready to move to Google Cloud?

Let us scope it. Book an architecture review and we will map your path to Google Cloud.

Frequently asked questions