Move fast. Land safely.
Cloud migrations that prioritize observability, cost control, and team enablement — so you own what we ship.
Most migrations cost twice as much and take three times as long.
Lift-and-shift creates a new legacy. Big-bang cutovers create incidents.
Incremental, observable, reversible.
Decompose monoliths incrementally — never all at once.
Budgets, tags, and anomaly detection from day one.
Dual-write, replay, validate, switch.
Runbooks, training, and pair-operate periods.
From kickoff to production,
in the open.
- 01
Assessment
Workload inventory, dependency graph, cost modeling.
- 02
Landing zone
IAM, networking, observability, and CI/CD foundations.
- 03
Pilot migration
Move a single bounded workload end-to-end.
- 04
Scale-out
Wave-based migration with continuous validation.
- 05
Optimize
Right-size, reserve, and refactor.
The tools we reach
for first.
- AWS
- GCP
- Azure
- Terraform
- Pulumi
- CDK
- Kubernetes
- ECS
- Cloud Run
- Datadog
- Grafana
- OpenTelemetry
What you get when this lands.
Through right-sizing, autoscaling, and architecture refactors.
Cutovers measured in seconds, not hours.
You operate the cloud, not us.
A real engagement
in this shape.
A new fraud-detection platform, deployed in 14 weeks.
We rebuilt Nuvo’s fraud platform around a real-time agentic decision engine — cutting false positives by 64% while accelerating settlement.
Things people
usually ask.
Mid-size workloads: 3–6 months. Enterprise estates: 12–24 months in waves.
Services that
often pair with this.
Let’s scope what this looks like for you.
A 30-minute technical conversation. No slides, no salespeople.