Cloud Migration Checklist: What to Map Before You Move a Single Workload

Dependency mapping comes first

The most common migration failure isn't a technical one. It's discovering a dependency mid-cutover that nobody documented. Before sequencing any migration wave, map which services talk to which, including the ones only used by a scheduled batch job once a month.

What to have answered before you plan a cutover date

• •What's the actual data transfer volume, and does your migration window realistically fit it?
• •Which workloads have hard dependencies that must migrate together, versus ones that can move independently?
• •What's the rollback path for each wave, and has it actually been tested, not just documented?
• •Are there compliance or data residency constraints that limit which regions or zones are viable targets?
• •What's the target architecture: are you replicating the current setup, or actually redesigning for the platform you're moving to?

Sequence by risk, not convenience

It's tempting to migrate the easiest workloads first to build momentum. That's usually backwards. Low-risk, low-dependency workloads are a fine warm-up, but the workloads with the most unknowns should move early enough that you still have time to adjust the plan, not last when there's no runway left to fix a bad assumption.

A phased migration with defined rollback points at each wave will almost always outperform a single ambitious cutover, not because it's more cautious, but because it gives you real data from wave one before you're committed on wave four.