AWS Migration Checklist 2026: Assess, Mobilize, Migrate and Optimize
Use this AWS migration checklist to assess workloads, build a landing zone, plan migration waves, test cutovers and optimize cost and reliability after launch.
A successful AWS migration is not a server-copy project. It is a sequence of portfolio decisions, platform preparation, migration waves and post-cutover optimization. The checklist matters because missed dependencies, weak identity design or an unrealistic rollback plan can turn a technically possible migration into an operational incident.
AWS Prescriptive Guidance organizes large migrations around Assess, Mobilize, and Migrate & Modernize. AWS also recommends dependency discovery, business-case development and a secure landing zone before large-scale migration. The checklist below translates that lifecycle into concrete engineering and program questions.
Assess: know what you are moving and why
Inventory applications, servers, databases, data flows, users, integrations, licenses and owners. Measure actual utilization and peak demand rather than sizing from provisioned capacity. Map dependencies so migration waves reflect which systems have to move together.
For each workload, choose a strategy such as retire, retain, rehost, relocate, replatform, repurchase or refactor. Do not modernize everything automatically. Some systems should move quickly with minimal change; others justify deeper redesign because the current architecture is the reason cost, reliability or delivery speed is poor.
The best migration plan is not the one that moves the most servers fastest. It is the one that reaches a defined business outcome with controlled operational risk.
Mobilize: build the landing zone and operating model
Before production waves begin, establish:
- Identity and accounts: organizational structure, SSO, roles, privileged access, service identities and emergency access.
- Networking: VPC design, DNS, connectivity, segmentation, ingress and egress controls.
- Security and observability: centralized logging, encryption, security monitoring, vulnerability management and backup policy.
- Cost ownership: tags, accounts, budgets, allocation rules and visibility into which team or product owns each workload.
Migrate in waves with measurable exit criteria
Start with representative workloads that let the team learn the process without putting the most critical system at risk. Each wave should have technical acceptance criteria and business acceptance criteria before cutover begins.
- Rehearse: test data synchronization, DNS changes, authentication, monitoring, rollback and business validation before the live window.
- Cut over: define decision points, owners and explicit conditions for continuing or rolling back.
- Optimize: rightsize, review commitments, tune storage and databases, validate backups and compare reliability and cost against the baseline.
The migration ends when the new operating model is stable
After cutover, verify monitoring, security alerts, restore procedures, cost allocation and support ownership. Decommission old infrastructure only when data retention and rollback requirements are satisfied. Then create a modernization backlog based on evidence from the migrated environment. That keeps migration and modernization connected without forcing every workload into a risky transformation at the same time.
Tanco Tech plans and executes AWS and Azure migrations with architecture, security, FinOps and rollback treated as one program. Explore our Cloud Consulting Services or discuss your migration.
