MICROSOFT SOLUTIONS PARTNER

Move your stack to Azure, the AI-led way.

Facets uses AI agents to map your current setup, rebuild it on Azure, 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 Azure-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 Azure
Map resources to reusable Azure-native modules (Flavors) via a cloud-agnostic Blueprint.
Step 03 · Platform
Launch on Azure
Deploy Azure-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 Azure 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

Azure services Facets supports

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

Compute

Azure Virtual Machines for your application workloads, with declarative scaling, SSH keys, and VNet attach.

Kubernetes

Azure Kubernetes Service (AKS): managed clusters and node pools for your containerized services.

Serverless and containers

Azure Container Apps for event-driven and managed container workloads, scaled to demand.

Databases

Azure Database mapped from your existing data layer: managed PostgreSQL, MySQL, and more.

Storage

Azure Blob Storage for objects and Managed Disks for durable, persistent volumes.

Networking

Azure Virtual Network private networking, plus Load Balancer and Application Gateway, wired into your environment.

Caching

Azure Cache for Redis managed caching wired into your environment.

Identity and access

Microsoft Entra ID and managed identities for access wiring managed as code alongside your resources.

Container registry

Azure Container Registry (ACR) repositories for the images your AKS and Container Apps workloads pull from.

...and more

The list above is representative, not complete. More Azure services are mapped through the same intent-and-flavor model as your estate needs them.

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 Azure or anywhere.

Your team stays in control

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

We own the migration

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

Ready to move to Azure?

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

Frequently asked questions