Application / Platform Migration
Migrate applications, databases and workloads off legacy platforms with minimal downtime.
// overview
Assessment, re-platforming and cutover of applications between environments — legacy to cloud, platform to platform, data centre to data centre — with reversibility at every stage.
problem.log
The business challenge
Migrations are scoped as lift-and-shift and discovered as re-engineering. Interfaces, batch dependencies and undocumented integrations surface late, at the worst possible cost.
- ›Undocumented integrations discovered during cutover
- ›Performance characteristics changing after the move
- ›Rollback theoretical rather than tested
build.plan
How we solve it
Dependency and performance discovery precede any migration wave. Waves are sized to be reversible, and each is rehearsed against production-like data before execution.
- +Full dependency and interface discovery before wave planning
- +Performance baseline captured and re-verified post-move
- +Rehearsed, reversible waves with business sign-off
delivery pipeline
From spec to shipped
01 —
Discover
Application, dependency and performance discovery.
02 —
Define
Wave plan, target design and rollback criteria agreed.
03 —
Deliver
Rehearsal, wave execution and post-move verification.
04 —
Sustain
Legacy decommission and operational handover.
tech_stack
Cutover windows kept short and predictable
Performance regressions caught in rehearsal
Rollback available at every wave boundary
Legacy decommissioning completed, not deferred
Scope the build
Send us the spec, the legacy system or the integration nobody wants to touch. We will come back with an architecture, a sprint plan and a date — within one business day.
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