Assurance + Interoperability
Migration and cutover assurance
Observe, simulate and compare data journeys before committing critical operations to a new system or environment.
Why this challenge is hard
Migration testing often validates components rather than complete operational journeys. Production behaviour depends on data history, timing, downstream dependencies, manual exceptions and non-functional requirements that are difficult to reproduce in a test environment.
A big-bang cutover forces a decision before sufficient evidence exists. When differences emerge late, rollback is expensive and confidence in both the old and new environments deteriorates.
What Data Mediation changes
Data Mediation supports shadow, progressive cutover, adaptive rollback, data bridge and dual-execution patterns. The same interaction can be observed, replayed or compared without forcing an irreversible cutover.
Approach
How Data Mediation is applied
- 01
Capture representative journeys and acceptance criteria.
- 02
Run old and new paths in shadow or dual execution.
- 03
Compare decisions, outputs, timing and control evidence.
- 04
Progressively move traffic with explicit rollback conditions.
What can be demonstrated
- Readiness measured against real journeys
- Differences identified before customer or operational impact
- Controlled cutover with evidence-based checkpoints
- A retained bridge or rollback path where required
The exact scope, controls and evidence depend on the customer environment and are agreed before implementation.
Start with a defined outcome and prove it in controlled scope.
Discuss this work