What you get
Three concrete deliverables.
Target architecture and migration plan
Written target-state diagram, sequenced wave plan, dependency graph, and the rollback procedure for every wave — signed off before any code moves.
Cutover with zero unplanned downtime
Each workload migrates behind a feature flag with shadow traffic, partial cutover, then full. Rollback is a single config change.
Operations handoff and IaC repo
Terraform or Pulumi for the entire estate in your repo, runbooks for every workload, and SRE playbooks transferred to your team.
How we work
From kickoff to production.
Discovery and dependency mapping
Inventory every workload, integration, and data store. Catalog regulatory constraints. Produce a written dependency graph and risk register.
Target architecture and wave plan
Design the target state — landing zone, IAM, network, observability — and break migration into waves your business can absorb.
Landing zone and first wave
Stand up the cloud foundation in code, migrate the first wave, and prove the zero-downtime pattern your team will use for the rest.
Production cutovers
Workload-by-workload migration on a weekly cadence, each gated on its own readiness checklist. No big-bang go-live.
The stack we build on.
Cloud-agnostic. We meet you where your tenant lives.
Outcome metrics
Across last 12 cutovers, post-discovery
Median, year-one vs. legacy baseline
Median, from contract to production cutover
From the field
One we shipped.
State human services authority
Migrated a mission-critical survivor coordination network to Cloudflare edge after two prior consultancies missed the window. Twelve-week cutover, zero downtime.
Cutover window
Vs. 9-month prior estimate
FAQ
Questions buyers ask first.
Do you have a cloud you prefer?
How do you handle workloads we cannot move?
What does 'zero downtime' actually mean?
Who owns the infrastructure-as-code repo at the end?
Are you FedRAMP-aligned for federal workloads?
Related services
What buyers usually pair with this.
Data engineering
Pipelines and platforms that follow your workloads to the new cloud without recreating the legacy mess.
See the serviceAI engineering
Production AI services that drop into the modernized environment with shared identity and observability.
See the serviceStrategy and advisory
Independent read on the right cloud, the right sequence, and the right buy-versus-build decisions.
See the service