AWS Migration
“We need to get to AWS but our team has never done this before”
You know AWS is the right platform. But your team has never migrated production workloads at this scale. The risk of getting it wrong keeps pushing the timeline back.
Book an AWS migration callTrusted by
Your workloads are running on AWS. Everything is in code. Your team can manage it.
Production workloads migrated with zero unplanned downtime. Every resource defined in Terraform. Documented, version-controlled, and ready for your team to maintain.
Migration is where plans meet reality. The architecture looks great on paper, but moving production workloads with real users and real data is where experience matters most.
Your team can spin up EC2 instances. They’ve followed tutorials. But migrating a production application with dependencies, data, and users who can’t tolerate downtime is a different discipline entirely.
Why migrations stall
The most common migration failure isn’t technical. It’s the cascade of dependencies that nobody mapped until it was too late.
You can’t have automated deployments without Infrastructure as Code. You can’t have IaC without proper environments to deploy to. You can’t have proper environments without a multi-account structure. You can’t design a multi-account structure without understanding your workloads, compliance requirements, and team structure.
This dependency chain is why migration timelines slip. Teams start building before the foundation is ready, discover gaps mid-project, and spend months reworking what should have been designed upfront.
How we migrate
The engineers who design your architecture execute the migration. Same team, same context, no knowledge lost in a handoff.
Foundation first. Account architecture, networking, IAM, and CI/CD pipelines established before the first workload moves. This investment saves months of rework later.
Everything in code. Every resource defined in Terraform. Environments deployed from the same codebase. Configuration drift is impossible because there’s nothing to drift from.
Structured cutover. Each workload migrated with a documented plan, rollback procedure, and acceptance criteria. Tested in staging. Validated in production. No drama.
What's usually in the way
-
No IaC discipline means no repeatability
You can't automate what isn't codified. Without Infrastructure as Code, every environment is manually configured and subtly different. Testing is unreliable. Rollbacks are impossible.
-
Can't have proper IaC without proper environments
IaC needs somewhere to deploy to. Without separated development, staging, and production accounts, you're testing in production, or not testing at all.
-
Can't separate environments without account architecture
Multi-account setup needs IAM, networking, billing, and governance designed before workloads move. This is architecture work, not admin.
-
Dependency mapping is incomplete
Your application has dependencies nobody has documented. Database connections, third-party APIs, internal services. Missing one during migration means production failure.
What we resolve
-
Infrastructure as Code from day one
Every resource defined in Terraform. Environments are identical because they're deployed from the same code. Changes are reviewed, versioned, and auditable.
-
Proper multi-account foundation
Separated accounts for development, staging, and production with AWS Organizations. Governance guardrails. Consolidated billing. The foundation everything else runs on.
-
Account architecture designed for your business
IAM strategy, network design, and billing structure designed before the first workload moves. Not a template. Architecture for your specific requirements.
-
Complete dependency mapping and cutover planning
Every dependency documented. Every cutover planned with rollback procedures. Every migration tested in staging before it touches production.
“The migration was the smoothest infrastructure project we've ever done. No surprises.”
CTO , FinTech, 30 employees
Frequently asked questions
What does an AWS migration project look like?
We assess your current estate, map dependencies, then move workloads in a defined sequence. Most projects start with a pilot workload to prove the approach. We use the AWS-recommended 6 Rs framework (rehost, replatform, refactor, repurchase, retain, retire) to pick the right strategy per workload, not one-size-fits-all.
How long does an AWS migration take?
A small estate (10-30 servers) typically takes 8-12 weeks. Larger estates run 4-6 months. The variable is dependency mapping, not the migration itself. Tell us what you have and we'll give you a realistic timeline before you commit.
How do you minimise downtime during cutover?
We use AWS-native replication tools (AWS DRS, AWS DMS) to keep your source running while we build the target. Cutover windows are typically 1-4 hours, planned for off-peak. Production traffic only switches once the target is verified. Most workloads come back online before users notice anything changed.
Will our application work the same way on AWS?
Yes if we lift-and-shift. Better if we replatform. We tell you which workloads benefit from changes and which don't. Nothing gets refactored without a clear reason and your sign-off.
What if we want to keep some workloads on-premises?
Hybrid is a valid endpoint, not a failure. Some workloads belong on AWS; others stay where they are. We tell you honestly which is which. We design the network so both sides work together, with clear cost and performance trade-offs documented.
Ready to take the next step?
No obligation, just a clear conversation about where you are and what's possible.