Service
Cloud Migration
We move applications, databases and integrations to the cloud in planned increments, keeping the business running and keeping a way back at every stage.
What does a cloud migration involve?
A cloud migration moves applications, data and integrations from on-premise or legacy hosting onto a cloud platform. It involves assessing the existing estate, choosing a strategy per workload — rehost, replatform, refactor or replace — sequencing the moves by risk and dependency, migrating data with verification, cutting over integrations, and validating behaviour before decommissioning the source.
The most common failure is treating it as a single event. Migrations that succeed are sequenced: the lowest-risk workload moves first, the approach is proven, and the sequence continues with a tested rollback available at every step.
Migration work is mostly analysis. Which systems call this application? What runs on a schedule that nobody documented? Which integration uses a fixed IP address? Where does the data actually live? Discovering these during cutover is how migrations fail.
We map dependencies first, pick a strategy per workload rather than one for the whole estate, and move in increments that each deliver value on their own. Data is migrated with reconciliation counts, not assumptions. The source system stays available until the target is proven.
Business problems
What this usually solves.
The situations clients describe when they start this conversation.
Hardware or hosting reaching end of life
Servers are out of support, renewal costs are rising, and the risk of an unplanned outage grows every quarter.
Undocumented dependencies
Scheduled jobs, file drops and point-to-point integrations exist that nobody has a complete record of.
No acceptable downtime window
The business cannot stop for a weekend, so the migration has to happen alongside normal operation.
A previous attempt that stalled
Some workloads were lifted and shifted, costs went up, nothing improved, and the programme lost support.
Capabilities
What we bring to it.
Estate assessment
Inventory of applications, data stores, integrations, scheduled work and dependencies, with risk and effort scored per workload.
Migration strategy
Rehost, replatform, refactor or replace decided per workload with the cost and benefit made explicit.
Landing zone setup
Target environment with networking, identity, governance and monitoring established before the first workload arrives.
Data migration
Schema conversion, bulk transfer, change data capture for ongoing sync, and reconciliation against source counts.
Integration cutover
Endpoints, credentials, IP allowlists and scheduled jobs repointed with dual-run periods where feasible.
Validation and decommission
Functional and performance validation against agreed criteria before the source environment is retired.
Deliverables
What we build
- On-premise to Azure or AWS migrations for line-of-business applications
- Database migrations to managed PostgreSQL or Azure SQL
- File server and document store migrations to cloud storage
- Replatforming of applications onto managed container runtimes
- Consolidation of workloads scattered across providers and accounts
- Post-migration optimisation to bring spend back under control
Stack
Technology approach
Every migration is sequenced so that each step is independently valuable and independently reversible.
| Layer | What we use |
|---|---|
| Assess | Dependency mapping, workload inventory, risk and effort scoring |
| Prepare | Landing zone, identity, network connectivity, monitoring baseline |
| Move | Replatforming, container packaging, managed service adoption |
| Data | Bulk load plus change data capture, with reconciliation reporting |
| Cut over | Dual-run where possible, staged traffic shift, documented rollback |
| Optimise | Right-sizing, autoscaling, reserved capacity, storage lifecycle |
Process
How we deliver.
- 01
Discover
Understand business requirements and existing systems.
- 02
Architect
Design product, cloud, integration and data architecture.
- 03
Engineer
Build production-grade software.
- 04
Launch
Deploy, integrate and validate.
- 05
Scale
Optimize, monitor and evolve.
FAQ
Cloud Migration — questions we are asked
Will migrating to the cloud reduce our costs?
Not automatically. A direct lift and shift of over-provisioned servers usually costs more, because you are renting the same oversizing by the hour. Savings come from right-sizing, autoscaling, replacing self-managed services with managed ones and shutting down non-production environments outside working hours.
How much downtime should we expect?
For most workloads, minutes rather than hours, because the target runs in parallel and traffic is shifted once it is validated. Databases with large volumes and strict consistency need more planning, which is what change data capture and dual-run periods are for.
Can we migrate only part of our estate?
Yes, and it is usually the right approach. Hybrid operation is a normal steady state. What matters is that connectivity, identity and data flows between the migrated and remaining systems are designed rather than improvised.
What happens to our existing integrations?
They are inventoried during assessment and repointed as part of cutover. Integrations relying on fixed IP addresses, file shares or VPN routes need specific attention early, because they are the most common cause of post-migration failures.
Planning cloud migration work?
Tell us about the systems involved and the constraints. We will come back with an architecture and a delivery sequence.