A Practical Checklist for Cloud Migration

Cloud migration projects rarely fail because of the cloud provider. They fail because of skipped groundwork — workloads move before anyone has mapped their dependencies, cost expectations are never validated against real usage, and rollback plans exist only on paper. This checklist covers the steps worth getting right before any workload leaves your data center.

1. Inventory before you migrate

Start with a complete picture of what you're moving: applications, databases, integrations, and the traffic between them. Workloads with hidden dependencies — a batch job that writes to a shared file system, a service that assumes low-latency access to another — are the ones that break silently after migration. Document these dependencies before choosing a migration strategy for each workload.

2. Match the migration strategy to the workload

Not every application should be "lifted and shifted." A legacy system nearing end-of-life may only need a straight rehost, while a core application under active development is a better candidate for re-architecting into managed services. Forcing every workload through the same strategy usually means overpaying for infrastructure that doesn't fit the application.

3. Validate cost assumptions with real usage data

Cloud pricing calculators are a starting point, not a forecast. Actual costs depend on traffic patterns, data transfer between services, and how well autoscaling is tuned. Run a staged migration for at least one representative workload and compare projected versus actual spend before committing the rest of the estate.

4. Design for rollback, not just cutover

Every migration plan should answer: if this fails at 2am, what's the fastest safe path back? That usually means keeping the source environment intact and in sync for a defined window after cutover, not decommissioning it the moment the new environment goes live.

5. Treat security and access control as part of the migration, not a follow-up

Identity and access management, network segmentation, and encryption settings are far easier to get right during migration than to retrofit afterward. Default cloud configurations are rarely secure by default — review IAM policies, storage bucket permissions, and network exposure before workloads go live, not after an audit flags them.

6. Plan for the operational shift, not just the technical one

Teams that manage on-premise infrastructure and teams that manage cloud infrastructure need different skills and different monitoring habits. Budget time for the team to adjust — new tooling, new incident response patterns, and new cost-monitoring discipline — rather than assuming operations will run the same way once the migration is "done."

Cloud migration is as much a planning exercise as an engineering one. The projects that go smoothly are the ones where the groundwork — dependency mapping, workload-specific strategy, cost validation, and rollback planning — happened before a single workload moved.