You need to move from a data centre or on-premises environment but have not chosen the destination.
Cloud Migration Services
Cloud migrations often fail long before cutover, when dependencies, sequencing and rollback are unclear. We help teams assess, design and execute the move without forcing a destination before the architecture is understood.

Signals that this service resolves your bottlenecks
Application, database and network dependencies are incomplete or undocumented.
A previous migration created cost, reliability or operational problems.
You need to exit current hardware or contracts without improvising production continuity.
The team must decide which workloads to rehost, modernise, replace, retire or retain.
Cutover and rollback need to be rehearsed before production moves.
How we approach this engineering domain
Discovery and inventory
We review infrastructure, applications, data, networking, identity, integrations, criticality, maintenance windows and ownership.
Destination strategy
We compare AWS, Azure, GCP, private and hybrid cloud against requirements, cost, team capability and future dependency.
Plan and migration waves
We group dependencies, prioritise risk and define testing, synchronisation, cutover, acceptance and rollback per wave.
Execution and stabilisation
We build the target, automate where it adds control, migrate, validate and prepare the platform for ongoing operations.
What the technical work covers
Applications and virtual machines
Workloads on physical servers, VMware, Hyper-V and other virtualisation platforms.
Databases and data
Compatibility, volume, replication, consistency, transfer windows and recovery.
Containers
Docker and Kubernetes where the application and operating model justify the move.
Networking and identity
DNS, addressing, firewalls, VPN, hybrid connectivity, IAM, certificates and secrets.
Infrastructure as code
Terraform or OpenTofu so the target is reviewable, repeatable and transferable.
Post-migration validation
Performance, observability, backups, recovery, security, cost, documentation and handover.
Direct impact on production reliability
A verifiable inventory of workloads, dependencies and criticality.
A destination decision explained without unnecessary vendor bias.
Migration waves with owners, acceptance criteria and rollback.
Documented target infrastructure, automated where appropriate.
Knowledge transferred to the team that will operate the platform.
How we work alongside your team
Discover
We collect technical and operational evidence and make unknowns explicit.
Decide
We assign a strategy per workload: rehost, replatform, refactor, retire, retain or replace.
Prepare
We design the target, waves, tests, cutover and rollback procedures.
Migrate
We start with a pilot and progress through dependency groups with control points.
Stabilise
We validate production, resolve deviations and complete documentation and handover.
Code and runbooks that remain 100% in your hands
When it makes strategic sense to engage
This service is for you if:
- ✓Companies moving from on-premises, a data centre, hosting, VMware, Hyper-V or another cloud.
- ✓Software teams that need to compare targets before committing architecture and cost.
- ✓Organisations that require an executable, documented and transferable migration.
We do not recommend it if:
- ✕Projects that only want to copy servers without reviewing dependencies, security or recovery.
- ✕Teams that have already selected Azure and need the dedicated Azure Migration practice.
- ✕Migrations without sufficient access to the current environment or application owners for validation.
FREQUENTLY ASKED QUESTIONS
How long does a cloud migration take?
It depends on inventory quality, dependencies, data, testing and change windows. A small, documented environment may move in a few waves; a platform with critical integrations needs more discovery and validation. We set the schedule after confirming scope and owners.
How much does cloud migration cost?
There is no reliable figure without discovery. Cost depends on workload count and criticality, dependencies, data volume, networking, destination, downtime constraints, modernisation, security, testing and cutover. After inventory we propose a scope and state the assumptions.
Which workloads should move first?
We normally begin with a representative but recoverable pilot, not automatically the easiest or most critical workload. Priority combines dependencies, value, risk, validation capability and what the team needs to learn before later waves.
AWS, Azure or GCP?
The choice depends on workloads, regulatory requirements, required services, connectivity, cost, internal capability and future dependency. This practice compares AWS, Azure, GCP, private and hybrid cloud; the Azure Migration page is for teams that have already selected Azure.
Can we migrate without significant downtime?
Downtime can often be reduced through replication, parallel deployment and a rehearsed cutover, but we do not promise zero downtime without evidence. We define tolerance, final synchronisation, acceptance criteria and the change window per workload.
How do we roll back?
Each wave defines stop conditions, owners, backup or replication, a reversal procedure and the point after which rollback is no longer safe. We test rollback before production moves whenever the system permits it.
What happens after migration?
We validate performance, observability, backups, recovery, security and cost, document remaining risks and hand over the platform. If the team needs ongoing operations, managed cloud infrastructure can take on an agreed scope.
Ready to optimize your infrastructure?
Let us review the technical context of your platform before recommending an architectural roadmap or proposing the best path forward.
