Which cloud do you recommend?

The one that fits your stack and team. AWS is common, Azure works well where Microsoft licensing already exists, GCP is strong for data workloads. We do not push a preferred vendor.

Can we keep some workloads on-prem?

Yes. Hybrid architectures are normal. We design for where the workload actually belongs, not for a full-cloud headline.

How do you handle production cutovers?

Wave-based migration with pilots first. Cutover windows agreed in writing. Rollback tested before the move. We run the bridge call.

Do you stay for day-two operations?

Optional. See /managed-services/cloud-operations/ for the managed-services extension.

What about FinOps for platforms we already have?

We run a stand-alone FinOps engagement in 4 to 6 weeks. Typical outcome is a 15 to 30 percent cost reduction with a tracked optimization backlog.

Cloud Modernization. Migrations and rearchitectures, done.

Move to the cloud. Or move from one cloud to another. Or refactor what is already there. Landing zones, network design, FinOps, and the migration plan that matches your team size.

Talk to us All projects

What we do

What we build.

Migration planning and execution

Lift-and-shift, replatform, or refactor. Wave-based moves with a cutover plan, rollback, and a real communications schedule.
Landing zone design

Accounts, networks, IAM, guardrails, and logging built to compliance expectations. Greenfield or retrofit.
Application modernization

Monoliths to services. Or services to managed platforms. We do not modernize for its own sake. Only when the effort pays back.
Kubernetes platform

EKS, AKS, or GKE with sensible defaults. GitOps wired in. Abstractions your team can read and debug.
Disaster recovery

RPO and RTO targets signed off in writing before any build. Tested restores, not promised ones.
FinOps setup

Tagging, budgets, alerts, and a monthly cost report your CFO can read. Optimization backlog ranked by dollar impact.

Stack

Tools we use most.

AWS
Azure
GCP
Terraform
Pulumi
Kubernetes
Docker
Helm
ArgoCD
Crossplane
GitHub Actions
GitLab CI
Datadog
Grafana
Prometheus
Vault

How it works

Engagement shape.

Typical length: 10 to 14 weeks
Team shape: 4 to 8 people
Output: Running environment + runbook
Pricing: Fixed scope

FAQ

Questions we get.

Which cloud do you recommend?: The one that fits your stack and team. AWS is common, Azure works well where Microsoft licensing already exists, GCP is strong for data workloads. We do not push a preferred vendor.
Can we keep some workloads on-prem?: Yes. Hybrid architectures are normal. We design for where the workload actually belongs, not for a full-cloud headline.
How do you handle production cutovers?: Wave-based migration with pilots first. Cutover windows agreed in writing. Rollback tested before the move. We run the bridge call.
Do you stay for day-two operations?: Optional. See /managed-services/cloud-operations/ for the managed-services extension.
What about FinOps for platforms we already have?: We run a stand-alone FinOps engagement in 4 to 6 weeks. Typical outcome is a 15 to 30 percent cost reduction with a tracked optimization backlog.

Cloud Modernization. Migrations and rearchitectures, done.

What we build.

Migration planning and execution

Landing zone design

Application modernization

Kubernetes platform

Disaster recovery

FinOps setup

Tools we use most.

Engagement shape.

Questions we get.

See also.

Tell us what you want to move.