AWS Migration Checklist: Decide the Scope, Landing Zone and Cutover Tests

An AWS migration checklist should connect each workload to a business reason, a supported destination, a cost estimate and a test that proves the application still works. Establish account ownership, identity, networking, logging and recovery before moving production data. Then migrate in agreed waves with a clear decision to proceed, pause or roll back.

This is an execution-planning guide for a business that is considering AWS. If you are still selecting a platform, use the Azure versus AWS comparison first. A migration project should not quietly become a redesign of every application unless that additional scope is agreed.

1. Decide what moves and what changes

Create a workload register, not just a server list. A workload includes its users, application components, data, integrations and operating owner. Record why it is moving: a lease ending, hardware replacement, capacity need or another specific business requirement.

Choose an approach for each workload. Some can move with limited changes, some need a different managed service, some should be replaced with software, and some should remain where they are for now. Ask the application's vendor about licensing and support for the intended destination. Document unresolved questions before estimating a production date.

2. Establish the AWS foundation

The business should control the account relationship, billing ownership and recovery contacts. Agree how administrators sign in, how workloads receive permissions, which environments are separated and where security logs go. Name the person who approves a new account or a connection to the office network.

Write down network ranges, name resolution, connectivity, required inbound and outbound paths, and the destination for backups. Test these foundations with a small non-production workload. A working virtual machine is not proof that application access, recovery and operational visibility are ready.

3. Build a cost model with an owner

Estimate the selected services against actual usage assumptions. Include compute, storage, backups, data transfer, monitoring, licenses and support or management work. Separate one-time migration labor from recurring operation. Record the source and date of each estimate so the model can be revisited.

Run a practical sensitivity check: what happens if data grows, a system must run continuously or the application generates more outbound traffic than expected? Avoid buying a commitment solely to make an early spreadsheet look cheaper. The workload and operating pattern should be sufficiently understood first.

4. Plan waves around dependencies

Group components that must move together, and identify prerequisites between waves. A low-risk pilot should still teach something useful about identity, data movement, monitoring or support. Moving an isolated demo tells little about the next production application.

AWS describes migration in assessment, mobilization and migration phases. Its migration phase guidance is a useful planning reference; scale the process to the business rather than copying a large-enterprise program wholesale.

Wave gate	Evidence	Decision owner
Ready to copy	Destination, permissions, data scope and transfer method approved	Migration lead
Ready to test	Data reconciliation and known exceptions documented	Technical and data owners
Ready to cut over	Business workflow, recovery and rollback checks passed	Application owner
Ready to retire source	Post-cutover results accepted and retained-data decisions recorded	Business sponsor

5. Test outcomes before cutover

Define tests before the copy begins. Include ordinary user sign-in, important transactions, integrations, scheduled jobs, reporting and access restrictions. Compare application performance with the business's acceptable operating range. Test from the locations and devices that will actually use it.

Reconcile data according to the chosen method and business requirement. Counts are useful but may not establish transaction completeness or file fidelity. Keep an exception register with a clear decision for each skipped or failed item. Do not leave the application owner to discover these after the old environment is unavailable.

6. Make the rollback and handover explicit

Identify when writes stop on the source, when the destination becomes authoritative and the latest point at which rollback remains practical. Once new business records exist in AWS, rollback may require data reconciliation. Assign the authority to pause the change before a pressured cutover call.

After acceptance, hand over operating contacts, monitoring thresholds, backup checks, access administration and cost review. Read the AWS responsibility checklist to separate a completed migration from a managed environment. The old systems should be retired under an approved retention and disposal plan.

AWS migration questions

Can we move first and secure it afterward?

Agree essential access, logging, backup and network controls before production use. A hurried move can turn missing ownership into an ongoing problem.

Does migration automatically lower costs?

No. The outcome depends on the workload, selected services and operating model. Compare realistic recurring costs and the one-time project expense before deciding.

What should we bring to a migration assessment?

A workload list, application support information, data sizes, dependency owners, renewal dates and recovery requirements. Unknowns should be marked as discovery work rather than filled with guesses.

Plan the next step

Request an AWS migration assessment and scoped cutover plan to turn those inputs into migration waves, responsibilities and acceptance criteria.