Services · BUILD
Migrate confidently. Land on cloud-native foundations.
Lift-and-shift, replatform, or refactor — we plan and execute the migration that fits your timeline, budget, and risk tolerance.
How we deliver this: AI handles the routine analysis (audits, IaC drafts, runbook scaffolds, alert triage). A senior engineer reviews every change before it touches your production. Consultancy speed at consultancy quality.
Read more →When you need this
Frozen by analysis paralysis
After six months of architecture diagrams and vendor calls, the migration hasn't started. We bring opinionated frameworks (the 6Rs) and ship the first workload in under 60 days.
Cost overruns post-migration
Many migrations succeed technically but blow up the bill. Our migration plans include FinOps controls, tagging schemas, and right-sizing from day one.
Compliance unknowns
Data residency, shared-responsibility model, audit logs — we map your existing controls onto the new cloud before the first workload moves.
How it works
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Phase 01
Portfolio assessment
We catalog every workload, classify by 6Rs (rehost, replatform, refactor, repurchase, retire, retain), and produce a wave plan.
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Phase 02
Landing zone
Multi-account structure, IAM baselines, networking, logging, and guardrails are stood up before any workload moves.
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Phase 03
Wave-based migration
Workloads move in waves of similar risk profile. Each wave includes pre-migration testing, cutover runbook, and a rollback plan.
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Phase 04
Optimization
Post-migration FinOps and reliability tuning. The goal isn't "cloud" — it's a workload that costs less and runs better.
What you get
- → Portfolio assessment with 6R classification
- → Landing-zone architecture and Terraform modules
- → Wave plan with cutover dates and rollback runbooks
- → Post-migration FinOps report
- → Operations handover document
What changes for you
Predictable timelines
Wave-based migrations replace open-ended timelines with concrete checkpoints — and a clear go/no-go for each workload.
Cost transparency from day one
Tagging, budgets, and anomaly detection are part of the landing zone — not a follow-up project.
No silent compromises
Trade-offs (e.g. lift-and-shift vs. refactor) are documented with cost and risk implications, not hidden in slide decks.
Operations-ready
Your on-call team can debug, deploy, and observe the new environment from day one — handover is part of the plan.
Multi-cloud where it makes sense
We don't push a single vendor. If your business case favors AWS, Azure, GCP, or a hybrid, the architecture follows.
Compliance maintained, not deferred
HIPAA, PCI, SOC 2 controls migrate with the workload. Auditors get evidence; engineers don't get blocked.
What clients say
"CloudWizz rebuilt our delivery pipeline in eight weeks. Deploys went from a Friday-night ritual to a non-event we ship four times a day."
Director of Engineering
Fintech, Series C · 2025-11
"They turned a CFO emergency into a board-ready story in 12 weeks. The dashboards alone changed how engineering thinks about cost."
VP Engineering
Series B SaaS · 2026-01
Frequently asked questions
How long does a typical migration take? +
A first workload typically lands in 6–10 weeks. A full portfolio of 20–50 workloads runs 6–12 months in waves. We size based on your assessment.
Can you do a lift-and-shift only? +
Yes — when speed matters more than cloud-native benefits. We're explicit about what you're trading off and document the future replatforming path.
How do you handle data migration? +
Workload-dependent. Database Migration Service (AWS), Database Migration Assistant (Azure), or replication-based cutovers for low-downtime moves. The cutover runbook is rehearsed twice before go-live.
Do you support multi-cloud or hybrid? +
Yes. We've shipped AWS-primary, Azure-primary, and active hybrid (on-prem + cloud) architectures.
Will the migration cause downtime? +
Most workloads we migrate target sub-15-minute cutover windows. Truly zero-downtime is possible but adds cost — we scope this trade-off explicitly.
How do you control costs during the migration? +
Tagging strategy + budgets + anomaly alerts go in before any workload moves. Each wave has a target run-rate and a stop-the-line threshold.
What if we have specialized hardware (GPUs, FPGAs)? +
We have shipped GPU-heavy workloads on AWS, Azure, and GCP. FPGA workloads are evaluated case-by-case — sometimes the right answer is "stay on-prem for that workload."
Can you help us pick a cloud? +
Yes — selection workshop is a discrete two-week engagement based on your workload profile, team skills, and commercial constraints.
What about disaster recovery? +
DR is part of the landing zone. We document RPO/RTO targets, run a failover drill before signoff, and the runbook lives in the same repo as the infrastructure.
Do you train our team during the migration? +
Yes — pair sessions, recorded walk-throughs, and an internal cloud center of excellence are all standard deliverables.