Engineering

Cloud Migration Checklist: Assessment, Cutover and Rollback

Plan cloud migration assessment, rehearsal, data-aware rollback, business acceptance and retirement with a practical cutover checklist.

Purushottam Kumar Suman
Purushottam Kumar Suman
Founder & CEO, Drema AI
3 min read
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A cloud migration checklist should identify what moves, who authorises the switch, how data stays consistent and what happens if acceptance checks fail. Rehearse the cutover and recovery procedure using representative conditions. Infrastructure being available is not sufficient evidence that the business service is ready for users.

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01

Start with a service boundary and an accountable owner

Write the scope in operational terms: which users and workflows move, which dependencies remain elsewhere, and which records are authoritative during each stage. Record the interruption the business can tolerate and any deadlines that make the proposed window unsuitable.

Check that the migration team can access the source and target, including identity, networking, deployment, databases and observability. Resolve permissions before the migration window. A credential request raised during cutover can turn a reversible step into an extended outage.

02

Create a cutover runbook that can be executed

StageRequired checkDecision owner
AssessmentInventory, dependencies and unsupported components reviewedService owner
RehearsalTimed copy, validation and recovery exercisedMigration lead
Before switchingBackup, change controls and communications confirmedGo/no-go authority
Data transitionWrite ownership and final synchronisation verifiedData owner
User switchRepresentative journeys and access checks passBusiness representative
StabilisationMonitoring, reconciliation and support coverage activeOperations lead
RetirementNo remaining consumers or required recovery dependencyService owner

Give each runbook step an expected result, maximum wait and escalation contact. Record actual times during rehearsal so the final plan reflects observed work rather than an optimistic sequence of headings.

03

Define rollback before accepting new writes

Switching traffic back is not necessarily a complete rollback. If users have created records in the target, returning to an older source may lose or conflict with those changes. Specify how post-switch writes will be preserved, reconciled or deliberately blocked during a controlled validation period.

Separate failures that justify rollback from defects that can be corrected in place. Name the decision deadline and the person who can authorise it. If a step is effectively irreversible, document the recovery procedure and its consequences instead of promising an instant reversal.

04

Test business behaviour after the switch

Use an agreed test identity and authorised records. Verify sign-in, permissions, an important transaction, attachments, scheduled work and an integration outcome. Compare resulting data with expected values. Keep evidence of the checks and unresolved differences.

Monitor long enough to cover the business cycles that matter, including overnight jobs where relevant. Do not decommission the source simply because the first browser check passed. Retain it only under an explicit access, cost and retirement plan.

05

Common migration questions

Is zero downtime always possible?

It depends on application design, replication and dependency constraints. Agree an evidence-based interruption target after assessment and rehearsal.

Does a successful backup prove rollback will work?

No. Restore access, compatibility, recovery time and post-backup writes also matter. Demonstrate the recovery path in the agreed environment.

Use the migration cost inventory before budgeting, and bring the service boundary and transition constraints to a cloud migration planning call.

Purushottam Kumar Suman
Written by
Purushottam Kumar Suman
Founder & CEO, Drema AI

Founder and CEO of Drema AI. Builds AI systems, SaaS platforms and industry software — and writes about what actually survives production.

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