Cloud engineering
Cloud migration
services.
Move important systems to Azure with a clear scope, a considered foundation and a migration plan built around the way your business actually works.
A practical path
From unknowns
to a working system.
The work is shaped around the business, not a rigid migration script. Some workloads are ready to move. Others need more discovery, a different approach or a decision to stay where they are for now.
- 01
Discover the dependencies
Map the systems in scope and the less obvious things they rely on, including service accounts, certificates, file paths, scheduled tasks, vendor connections and reporting. Give each workload an owner who can explain how the business uses it.
- 02
Design the landing zone
Build the target environment around identity, security, connectivity, visibility and recovery. The goal is an Azure foundation that gives the business a consistent place to operate from, rather than a collection of one-off decisions.
- 03
Sequence the migration waves
Choose an approach for each workload. A straightforward rehost may suit one system, while another may need targeted platform changes, replacement or retirement. Early waves should prove the process without putting the whole business under pressure.
- 04
Validate the work that matters
After cutover, check more than whether the infrastructure is online. Confirm that people can sign in, complete key tasks, use integrations, access data, run scheduled work and recover from a problem. Then hand over a clear operating picture.
Decisions made before the deadline
The most expensive migration decisions are often made in a hurry, after a hardware failure, a contract deadline or a business change has already narrowed the options. Starting earlier gives the team room to assess the current environment, agree what success means and choose a sequence that does not turn every unknown into an urgent problem.
It also makes expectations clearer. Leaders can see the trade-offs between speed, cost, resilience and change effort. System owners know when they need to test. Staff have a plan for what will change on the day. The result is not a promise that migration has no risk, but a project that handles risk openly and has a practical response when something needs attention.
Explore Azure migration services →