AWS Migration Readiness Assessment: What to Check Before Moving Workloads

An AWS migration readiness assessment determines whether an organization can move and operate its workloads responsibly, identifies gaps, and assigns actions to close them. It examines business goals, people, governance, platform foundations, security, and operations. The result should be an evidence-backed decision and remediation plan, not simply a list of servers.

A data center deadline can make readiness feel like an administrative step. It is not. Unknown dependencies, unresolved data obligations, an untested recovery procedure, or missing operating ownership can change the migration path. Finding those constraints before production moves gives leaders choices that become harder to make during cutover

Distinguish organizational readiness from workload readiness

AWS Prescriptive Guidance describes Migration Readiness Assessment, or MRA, using the six perspectives of the AWS Cloud Adoption Framework: business, people, governance, platform, security, and operations. This gives the review an organizational scope. Infrastructure configuration is important, but it is only part of the assessment.

Workload readiness asks a more specific question: can this application move through the proposed method and run in its target environment? An organization may have capable cloud teams while one application has an unsupported component. Conversely, an application may be technically movable while the organization has no agreed support model.

Keep both decisions visible. An enterprise-level review should identify common foundations and responsibilities. Workload reviews should identify application-specific constraints, testing, and migration paths. Combining the two prevents a positive organizational assessment from becoming an unsupported assumption that every workload is ready.

Start with a business case the decision-makers can challenge

Document why the migration is being considered, which business services are in scope, and what must change after the move. A facility exit, hardware renewal, licensing constraint, or resilience requirement can produce different priorities. Agree on the deadline, acceptable disruption, and criteria for proceeding or postponing.

Build a current-state cost baseline before comparing AWS scenarios. Include the costs that actually change, the costs that remain, migration delivery effort, and the overlap between environments. Separate assumptions from measured utilization. The business case should identify uncertainty rather than hide it inside a single forecast.

Migration Evaluator can support a directional business case. Current AWS Transform assessments can analyze supported inventory inputs and produce planning recommendations. Neither tool's output should be treated as approval for a production move. Review the inputs, assumptions, licensing position, and application constraints with the accountable teams.

Challenge the cost assumptions with the people who pay for and operate the current estate. Review contract commitments, licensing restrictions, support effort, and the timing of facility savings. Costs that cannot be removed immediately should remain in the forecast until an accountable owner confirms otherwise.

Validate the inventory and the dependency map

Inventory applications, servers, databases, file stores, interfaces, scheduled jobs, and external connections. Record business and technical owners, criticality, software versions, support status, utilization, and recovery requirements. Compare automated collection with operational records; systems that were not observed during collection may still be essential.

Map dependencies at the application level. Include authentication, name resolution, certificates, shared storage, third-party allowlists, batch exchanges, and reporting processes. Collection tools can provide evidence, but application owners must interpret it. A network connection indicates a relationship that needs review, not automatically a complete business dependency.

Choose a collection period that captures representative activity. An infrequent billing job or month-end report may not appear in a short observation window. Identify those cycles with business teams and label unverified relationships. Missing evidence should remain an open issue until it is resolved or explicitly accepted.

Record each dependency with a source, target, owner, business purpose, and verification status. This makes it easier to distinguish an active requirement from an obsolete connection. Where evidence is incomplete, identify the test or stakeholder confirmation needed rather than treating a blank field as proof of independence.

Check data obligations and access before choosing the target

Identify sensitive data, retention obligations, residency requirements, and the access rules that apply to each workload. Establish which controls must exist before transfer and which approvals are required. A migration method that is technically available can still be inappropriate for the organization's data obligations.

Review administrative access, encryption-key ownership, audit records, service accounts, and separation between environments. Confirm who can authorize data movement and who can change target settings. Temporary migration permissions should have an approved removal process rather than becoming the permanent operating model.

For databases, include engine compatibility, schema conversion, replication prerequisites, validation coverage, and write consistency. For file stores, include permissions, metadata, application references, and transfer verification. The assessment should identify the appropriate data method without assuming that all data follows the same server migration procedure.

Prove the AWS foundation is ready

Review the target account structure, identity integration, network connectivity, logging, backup policies, and cost allocation. The proposed landing zone should support the workloads and their operating requirements. A design document is useful evidence, but representative access, connectivity, and recovery tests show whether the foundations work.

AWS Control Tower can establish and govern a multi-account AWS environment. It does not decide every workload configuration or replace application-level controls. Confirm which foundation services are in place, which need configuration, and which responsibilities remain with the platform, security, and application teams.

Test paths to systems that will remain outside AWS. A partially migrated application may still depend on on-premises identity, reporting, or integration services. Review latency, routing, failure behavior, and operating responsibility for those connections. Hybrid dependencies are part of readiness, not exceptions to document after migration.

Assign people, delivery decisions, and operating ownership

Name the business approver, application owner, platform owner, data owner, and support lead. Confirm their availability for assessment, testing, cutover, and acceptance. A responsibility chart is incomplete if it assigns a task to a team that lacks the access, knowledge, or capacity to perform it.

Identify skills and support gaps without assuming they must all be resolved through new hiring. Training, pairing, runbooks, and an agreed external delivery scope may address different needs. Test the handoff through an incident or recovery exercise so operating readiness is demonstrated rather than inferred from attendance.

Agree on incident escalation, patching, backups, access reviews, cost reporting, and recovery ownership after migration. Separate project delivery responsibilities from ongoing operations. Otherwise, an application can complete its migration while leaving critical support work between teams with no clear accountable owner.

Use a scorecard that makes blockers visible

A practical readiness scorecard can cover business case, inventory, dependencies, data controls, platform, delivery, and operations. For each category, record the evidence, finding, owner, next action, and decision status. Use clear states such as ready, work remains, or blocked instead of hiding uncertainty behind a single average.

These are recommended project decision labels, not an official AWS rating. Define what each label requires before applying it. A category marked ready should have evidence and an approver. Work remains should identify a bounded action. Blocked should identify a condition that prevents the proposed next step.

Do not let strong results in other categories cancel a critical blocker. An unresolved data-residency requirement or a missing recovery method may prevent a workload from moving even when inventory and cost analysis are complete. The scorecard should help leaders sequence decisions, not manufacture a passing result.

Readiness is also scoped to a proposed next step. Evidence sufficient for a nonproduction pilot may not justify moving a regulated production service. State which environment, workload group, and decision the scorecard covers, so its status cannot be reused outside the conditions under which it was approved.

Turn findings into workload paths and a pilot wave

Assess whether each workload should be retired, retained, rehosted, relocated, repurchased, replatformed, or refactored. AWS describes these as the seven migration strategies. Select the path from business value, compatibility, dependencies, delivery constraints, and operating

requirements rather than applying one method across the entire portfolio.

Choose a pilot that represents useful technical patterns with manageable risk and engaged owners. Define entry criteria, test coverage, a cutover runbook, stop conditions, and the recovery approach. The pilot should test the delivery method and the operating handoff, not merely demonstrate that instances can start.

For example, an illustrative billing application may have a documented server inventory but an unverified month-end interface. Its next action is to confirm that interface and the acceptance test before approving a wave. This is a planning scenario, not a client story or a measured migration result.

Make completion evidence specific. Instead of closing a recovery action because a runbook exists, require the relevant exercise and its accepted result. Instead of closing a dependency action because a meeting occurred, require an updated map and owner confirmation of the proposed sequence.

Leave the assessment with an owned action plan

The output should connect scope, inventory, dependencies, workload paths, foundation gaps, costs, pilot selection, and operating ownership. Each unresolved finding needs an owner, completion evidence, and a review point. Estimate remediation effort separately from the assessment meeting so the delivery plan reflects the work still required.

Set the next decision explicitly: proceed with a defined pilot, complete foundation work, revise the migration method, or defer a workload. Revisit the assessment when material assumptions change. New dependencies, target configurations, or business constraints can invalidate an earlier readiness decision.

If your organization is planning a workload move, request an AWS migration assessment from Info Services. Review the business case and technical evidence together before committing to the first production wave. A useful assessment makes uncertainty actionable and gives each team a clear role in resolving it.