Cloud Migration Services
Move to AWS, Azure or Google Cloud without the outage
- App servers
- Database
- File storage
- Cron jobs
- Containers (K8s)
- Managed DB
- Object storage
- Scheduled functions
- AWS, Azure and Google Cloud
- Infrastructure as code with Terraform
- Rehearsed cutover, rollback kept open
Rehost, replatform or refactor
No single strategy fits a whole estate. The assessment assigns one per workload, and the table is how we explain the trade-off.
| Consideration | Rehost (lift and shift) | Replatform | Refactor |
|---|---|---|---|
| What changes | Nothing in the app; it moves as-is to cloud compute | Components swapped for managed services (database, queues, storage) | The application is changed to use cloud-native services and scaling |
| Speed and risk | Fastest, lowest risk | Moderate | Slowest, highest reward |
| Cost afterwards | Often higher until optimised | Lower operations burden | Lowest at scale |
| Best for | Stable systems, tight deadlines, data-centre exits | Most business applications | Products with growth, reliability or velocity problems |
Applications, data and the infrastructure around them
Applications
Databases
Storage and files
Networking and security
How we avoid the outage
Cutover is rehearsed before it is real. These are the rules.
- Data replicated continuously, then verified with counts and checksums
- A full dress rehearsal on a copy of production before the real cutover
- Short freeze window, deliberate DNS and traffic switch, staged by percentage where possible
- Rollback path kept open until the new environment has proven itself
- Monitoring and on-call in place before, during and after
Optimisation is part of the service
Cost
Reliability
Security
Assess, plan, migrate, optimise
Step 1: Assessment
Inventory of applications, data, dependencies, traffic, compliance needs and current cost. Each workload gets a strategy.Migration plan and target architectureStep 2: Landing zone
Accounts, networking, identity, security baseline and CI/CD built as code on the chosen cloud.Ready target environmentStep 3: Migrate in waves
Lowest-risk workloads first, data replication running, each wave verified before the next.Workloads running in cloudStep 4: Rehearse and cut over
Dress rehearsal, then the real cutover with a rollback path.Production on cloudStep 5: Optimise and hand over
Cost, reliability and security tuned; documentation and runbooks handed to your team or run by ours.Stable, optimised estate
Need the applications reworked as part of the move? See custom software development.
Cloud and infrastructure technology
Clouds
- AWS
- Microsoft Azure
- Google Cloud
Platform
- Docker
- Kubernetes
- Terraform
Data
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Elasticsearch
Application
- Node.js
- Python
- Go
- Spring Boot
- PHP
Cloud migration questions, answered
What does a cloud migration involve?
An assessment of what you run today, a target architecture on AWS, Azure or Google Cloud, a migration plan that chooses a strategy per workload (rehost, replatform or refactor), the migration itself with data synchronisation and a rehearsed cutover, and then optimisation of cost, security and reliability once you are there.
Rehost, replatform or refactor: which do you recommend?
It depends per workload. Rehosting (lift and shift) is fastest and lowest risk; replatforming swaps components for managed services such as a managed database; refactoring changes the application to use the cloud properly. Most migrations mix all three, and the assessment says which applies to what.
Will there be downtime?
For most workloads, no or very little. Databases are synchronised ahead of cutover, the cutover is rehearsed, DNS and traffic are switched deliberately, and a rollback path is kept open until the new environment is proven.
Which clouds do you work with?
AWS, Microsoft Azure and Google Cloud, with Docker, Kubernetes and Terraform for portability and infrastructure as code. We recommend a platform based on your workloads, team skills and existing agreements, not a preference of ours.
Can you migrate databases with large volumes?
Yes. We use replication and change-data-capture tooling to keep source and target in sync, validate row counts and checksums, and cut over with a short freeze window rather than a long outage.
How do you control cloud cost after migration?
Right-sizing, reserved or committed capacity where usage is steady, autoscaling where it is not, storage tiering, and cost dashboards with alerts. A lift-and-shift that is never optimised usually costs more than the data centre did; the optimisation phase is part of the service.
What about security and compliance?
Identity and access management, network segmentation, encryption at rest and in transit, secrets management, logging and backup policies are designed into the target environment. Compliance requirements are gathered during assessment and mapped to controls.
Can you migrate from one cloud to another?
Yes. Cloud-to-cloud moves follow the same method, and infrastructure as code makes the target environment reproducible.
Where cloud migration connects
Architecture reviews and modernisation strategy before a migration is planned.
Refactoring and rebuilding applications that need more than a lift and shift.
Data platforms and pipelines on managed cloud services.
Tell us what you run and where. We will tell you what should move, how, and in what order.
A migration assessment call is free and ends with a first-pass strategy per workload.
