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Falstech.
Microsoft cloud service

Modernization

An implemented modernization phase with documented architecture, delivery artifacts, and ownership.

All services
When this fits

Signs you need this.

  • Your footprint is still mostly VMs and manual deploys.
  • Infrastructure is clicked together in the portal with no source of truth.
  • Releases are risky, manual, and slow enough that people avoid them.
  • A modernization plan exists on slides but nothing has actually moved.
  • Leadership wants Copilot and AI features but there's no rollout path.
First

What we assess.

  • Each workload's fit for lift, refactor, or rebuild.
  • Current deployment process and where manual steps introduce risk.
  • Application architecture against App Service, Container Apps, and AKS.
  • Infrastructure-as-code readiness and the right tool (Bicep or Terraform).
  • Readiness and licensing for Copilot for M365 and Azure OpenAI.
Then

What we implement.

  • Workload migration — lift, refactor, or rebuild per the assessment.
  • Infrastructure as code in Bicep or Terraform, under CI.
  • CI/CD pipelines in GitHub Actions or Azure DevOps.
  • Landing decisions across App Service, Container Apps, and AKS.
  • The Copilot for Microsoft 365 or Azure AI readiness work included in scope.
Deliverables

What you get.

  • Migration assessment + execution (lift, refactor, rebuild)
  • Bicep or Terraform IaC adoption + CI
  • GitHub Actions or Azure DevOps pipelines
  • App Service / Container Apps / AKS landing decisions
  • Copilot for M365 + Azure OpenAI rollout planning

What the engagement requires and where it ends.

Usually a focused assessment or architecture decision followed by fixed-scope implementation. Fractional capacity can support a longer prioritized backlog.

Client inputs

  • Workload inventory, owners, dependencies, and business criticality
  • Repository, deployment, and environment access appropriate to scope
  • Testing, security, data, rollback, and change-management requirements
  • Named application and platform owners for decisions and acceptance

Explicit exclusions

  • Application feature development unrelated to the agreed modernization scope
  • 24/7 platform operations or production support
  • Broad AI adoption, licensing, or data-governance work unless explicitly included

Handoff

  • Target-state architecture and decision records
  • Infrastructure-as-code and pipeline artifacts included in scope
  • Deployment, rollback, and operating guidance
  • Knowledge transfer and an agreed follow-on backlog
Stack

Technologies.

Azure App ServiceAzure Container AppsAzure Kubernetes ServiceBicepTerraformGitHub ActionsAzure DevOpsAzure OpenAI
Questions

Frequently asked.

How do you decide between lift-and-shift, refactor, and rebuild?
It's a per-workload call based on business value, technical debt, and effort. Some apps just need to move; others earn a refactor to a managed service; a few are worth rebuilding. The assessment makes that recommendation explicit so you invest where it pays off.
Should we use Bicep or Terraform?
If you're Azure-only and want the tightest fit with Azure's own tooling, Bicep is usually simpler. If you're multi-cloud or already have Terraform skills in-house, Terraform wins. We adopt whichever matches your team, not our preference.
Is your Copilot work a rollout or just planning?
We scope it to your readiness — licensing, data-access review, pilot group, and a phased plan. That planning is the deliverable here; broad hands-on enablement can follow once the foundation and guardrails are in place.

Ready to start?

Start with a focused discovery conversation about the environment, pressure, access, and outcome. Pricing is provided after that conversation or a paid assessment when more evidence is required.