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
Working agreement
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.