Cloud Migration
Move to the cloud on a plan that survives contact with production — assessed, sequenced, executed, and supported past cutover.
Migrations fail in the planning, not the cutover. Estates get lifted as-is, dependencies surface mid-move, and the first invoice arrives higher than the data centre it replaced.
We assess before we architect and sequence before we move. Every workload gets a disposition — rehost, replatform, refactor, retire — and the wave plan is built around business dependencies rather than technical convenience. Cutovers have rollback paths, and we stay through stabilization.
The outcomes that justify the programme, and what has to be true to reach them.
- 1.01
Cost efficiency
Pay for what actually runs. Right-sized instances, committed-use discounts, and automatic scale-down convert fixed capital into a variable cost you can forecast — provided FinOps guardrails go in from the start.
- 1.02
Agility to pivot
Provisioning drops from a procurement cycle to minutes. Teams can test an idea, scale it, or abandon it without a hardware decision attached to the outcome.
- 1.03
Reliable performance
Multi-AZ and multi-region topologies, managed failover, and autoscaling deliver resilience that would be prohibitively expensive to build and staff on-premises.
- 1.04
Competitive advantage
Managed data and AI services are available the day you need them. The distance between an idea and a production capability closes from quarters to weeks.
Five phases, each with a defined exit before the next one starts.
- 2.01
Cloud readiness assessment
Application-by-application inventory, dependency mapping, and a candid view of what should move, what should be rebuilt, and what should stay exactly where it is.
- 2.02
Cloud architecture design
Target-state landing zone — accounts, networking, identity, and policy guardrails — designed and stood up before the first workload moves.
- 2.03
Migration strategy planning
A disposition per workload, sequenced into waves that limit blast radius, respect business dependencies, and give each team a date it can plan against.
- 2.04
Cloud migration implementation
Execution in waves with rollback paths, parallel-run validation, and cutovers scheduled around your business calendar rather than ours.
- 2.05
Post-migration support
Hypercare through stabilization, then cost tuning, runbooks, and the knowledge transfer that leaves your team genuinely able to operate it.
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