Migrate
Move to the cloud in planned waves,
not one risky leap.
We migrate data centers, VMware estates, databases and AI workloads through a structured migration factory, with a tested rollback plan for every cutover and a funding eligibility check before you commit.
Trusted by 750+ high-growth and enterprise brands
The problem
Migration isn't one problem. It's four.
Any one of them can stall a move. Each one is fixable.
No clear starting point
Without a full inventory of applications and dependencies, you can't decide what moves first or what it will cost.
Deadline pressure
Data center lease renewals, VMware licensing changes and hardware refreshes force decisions before you're ready.
Cutover risk
One failed cutover can mean lost data and downtime, so migrations stall in planning.
Costs of running both environments
Every additional month of running old and new environments side by side adds cost and erodes the business case.
The path
One factory. Four migration disciplines.
One team addresses these migration challenges using standard runbooks and automation to improve consistency and predictability across migration waves.
- 01 · Solves: cutover risk
Migration Factory
Servers, VMs and applications moved in planned waves, with standard runbooks, automation and AWS Application Migration Service.
Wave-based cutoversRunbook-driven - 02 · Solves: no starting point
Landing Zone Accelerator
A secure, multi-account foundation with identity, networking, logging, guardrails and cost controls in place before the first workload moves. Built on 100+ landing zone projects.
Multi-account setupGuardrails from day one - 03 · Solves: data-loss fear
Data & Storage Migration
Databases, object storage and file systems moved with change data capture and checksum validation, so data stays intact. AWS DMS Delivery designation.
Data validatedPlanned cutover windows - 04 · Ready for Maximize
AI/ML Stack Migration
ML pipelines, models and GPU workloads replatformed onto cloud-native stacks such as Amazon SageMaker AI and Amazon EKS. Backed by 40+ AI/ML projects.
MLOps-readyGPU workloads
What we migrate
Whatever you're moving, we've moved it before.
From a single server to a whole data center, across every major platform.
- Projects delivered
- 1,000+
- Businesses migrated
- 200+
- Workloads moved
- 300+
- Client satisfaction (CSAT)
- 98%
How a migration runs
Five steps, one team, no surprises.
The team that plans your migration waves also migrates and operates your workloads.
Plan
Assess workloads, map dependencies and risks, build the roadmap and business case, and check funding.
Prepare
Stand up a secure, multi-account landing zone with guardrails and cost controls.
Migrate
Move workloads in automated, phased waves, each with a tested rollback plan.
Validate
Check performance, data integrity and security after every wave.
Optimize
Tune performance, cost and resilience after cutover, with up to 24/7 managed operations.
Built in, as standard
What every migration
includes.
Whatever your size, you get the same team and the same standards. None of this is an add-on.
- A business case and TCO model before you commit
- Funding eligibility checked during the assessment
- A dependency map and phased migration roadmap
- Tested runbooks and a rollback plan for every cutover
- Data integrity checks for every database and storage move
- A secure, multi-account landing zone from day one
- Resource tagging so eligible workloads earn migration credits
- Right-sizing and Savings Plans review after cutover
- Controls mapped to applicable regulatory and compliance requirements
- One team from assessment to managed operations
Credentials
Migration credentials you can trust.
Independently validated for exactly this kind of work.
AWS Migration and Modernization Consulting
AWS Database Migration Service Delivery
AWS Resilience Services Competency
AWS Well-Architected Partner Program
Outcomes
Migrations delivered, not just planned.
Real cutovers from teams that moved with us.
Consolidating Azure and GCP Workloads into a Governed, AI-Ready AWS Environment for Roxonn
Blockchain
Built on
Amazon Bedrock
Migration for a Blockchain team
Read the story →
Standardizing Produktiv’s Cloud Environment to Securely Scale A Governed RAG & AI Agent Platform
AI-Powered Data Governance and Control Services
Built on
Amazon EKS
Migration for an AI SaaS team
Read the story →
AWS Migration for Liquidmind: A Multi-Product Cloud Infrastructure on AWS
Liquidmind
Built on
Amazon Bedrock
Migration for a FinTech team
Read the story →
Questions before you
move?
Quick answers to what teams ask us before a migration.
How long does a migration take?
Simple migrations take about 2 to 4 weeks. Complex estates take 6 to 12 weeks or more. The free assessment usually takes 5 to 7 business days.
Will our applications have downtime?
Databases replicate continuously, so the final switch is brief. VMware workloads can use a 10-minute cutover SLA through Datamotive EasyMigrate. Every cutover has a pre-validated rollback plan.
Can we get funding for our migration?
Often, yes. Migration funding may be available across three phases, and a free licensing assessment reviews your IT assets and licenses. We assess eligibility for relevant funding programs. Availability depends on the program, project, geography and provider approval.
What is a migration factory?
A repeatable, wave-based approach with standard runbooks and automation. It suits estates with dozens or hundreds of servers.
How do you decide whether to rehost, replatform or refactor?
Each application is assessed and given a path: rehost, replatform, refactor, repurchase or retire. Many estates rehost first and modernize later.
Can you migrate us from Azure or Google Cloud?
Yes. We've moved 300+ production workloads from Azure, Google Cloud and on-premises environments, including Liquidmind (Azure) and Skill-Lync (DigitalOcean).
How do you handle security and compliance during migration?
Guardrails, logging and encryption are configured before migration, and controls are mapped to the regulatory and compliance requirements applicable to your industry and operating markets.
What happens after cutover?
Workloads can move straight into managed operations (up to 24/7): monitoring, patching, security operations and cost reviews.
Let's talk
Planning a data center
or VMware exit?
Start with a free assessment. You’ll understand the proposed timeline, estimated cost and funding eligibility before you commit.
- Step 1Free assessment, 5–7 business days
- Step 2Timeline, cost estimate + funding check
- Step 3A wave plan you can act on