Azure cloud migration
Migrate to Azure on a Cloud Adoption Framework landing zone, with Entra ID, governance and licensing handled properly.
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Move workloads to AWS with a landing zone, a migration plan and a cost model agreed before anything moves.
The short answer
AWS cloud migration moves applications and data from on-premise or another cloud into AWS. LDelight starts with a landing zone covering accounts, networking, identity and guardrails, then migrates workloads in waves — most clients see a 25–40% reduction in run costs against their pre-migration baseline.
Key takeaways
Most disappointing AWS migrations are lift-and-shift projects where nothing was re-examined on the way. The workload arrives running the same oversized instances it had in the data centre, the bill goes up rather than down, and the promised agility never materialises because the operating model did not change.
Before a single workload moves we build the foundation: a multi-account structure under AWS Organizations, network topology and connectivity, identity federation to your existing directory, logging and guardrails through Control Tower and service control policies, and tagging enforced from day one so cost attribution actually works later.
Each application gets a recommendation — rehost, replatform, refactor, repurchase, retire or retain — with the cost and effort attached. Some workloads genuinely should not move. Saying so is part of the job.
Low-risk workloads go first to prove the runbooks. Each wave ends with a validation gate and a documented rollback. Nothing moves on a Friday.
Post-migration we right-size against real utilisation data, apply Savings Plans and Reserved Instances against the steady-state baseline, and set up budgets and anomaly detection. This is where the reduction against the pre-migration baseline actually comes from.
Automated discovery of the estate, dependency mapping and a per-workload migration recommendation with cost and effort attached.
Multi-account structure, networking, identity federation, logging, guardrails and tagging policy — all as Terraform you keep.
A low-risk workload migrated end to end to prove the runbooks, the cutover process and the rollback.
Remaining workloads in dependency-ordered waves, each with a validation gate before the next begins.
Right-sizing against 30 days of real utilisation, commitment purchases, budget alarms, runbooks and team enablement.
A 30-minute scoping call. No slide deck, no obligation — you leave with a written recommendation.
The landing zone takes 3–5 weeks. Migration itself depends on the estate: a 20-workload environment is typically 3–4 months in waves; several hundred workloads is a 9–18 month programme. We give a wave plan with dates at the end of assessment.
Only if you do the optimisation work. A pure lift-and-shift usually costs more than the data centre it left. The reduction comes from right-sizing against real utilisation, retiring what nobody uses, and buying commitments against a stable baseline — which is why we treat those as part of the migration rather than a later project.
For most stateless applications, yes, using replication and DNS-based cutover. Stateful databases usually need a short, planned window — typically under 30 minutes with AWS DMS and continuous replication. We tell you which of your workloads fall into which category during assessment.
They get replaced with something that is actually tested. We design recovery objectives with you, implement them with automation, and run a real failover exercise before sign-off. An untested DR plan is a document, not a capability.
Migrate to Azure on a Cloud Adoption Framework landing zone, with Entra ID, governance and licensing handled properly.
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