A cloud migration checklist is only useful if it accounts for security and compliance before the first workload moves. Most guides treat both as a final review, a box checked once the environment is already built. That order costs you later, in rework, audit gaps, and cloud migration steps that have to be repeated under pressure.
The decision to move usually starts with the business case, and an honest read of Cloud vs. On-Premises Cost: An Honest TCO Breakdown for IT Directors is often where it begins.
This checklist assumes that a decision is made and focuses on the harder part: building security and compliance from discovery through handover, so a first move to AWS holds up under review.
Plan the Migration Before You Move Anything
Every dependable AWS migration checklist starts with discovery, not deployment, and proven planning structures like the AWS Cloud Adoption Framework exist to make that groundwork repeatable rather than improvised. The first three steps set the order of the migration before anyone touches a workload:
- Inventory current workloads (step 1). Capture what runs where, what it depends on, and who relies on it.
- Map dependencies (step 2). Trace connections so a database, integration, or scheduled job is not stranded when its workload moves.
- Assess risk and readiness (step 3). Identify what could disrupt operations, what compliance obligations already apply, and how to sequence the most sensitive or most connected workloads.
That readiness assessment, not the first deployment, is where a trustworthy plan actually begins.
Build the Security and Compliance Foundation First
Cloud migration security has to be designed in, not bolted on afterward, and this is structured security work that SMS builds through its Cybersecurity Services. Three steps establish the foundation:
- Set the access model (step 4). Build identity and access management on least privilege, paired with an encryption baseline for data at rest and in transit.
- Map controls to frameworks (step 5). Align the controls to whichever standards apply, such as FedRAMP, NIST, HIPAA, or PCI DSS.
- Capture evidence (step 6). Configure audit logging and evidence capture as workloads move, so compliance can be demonstrated later instead of reconstructed from memory.
Recognized frameworks define those controls for you, and the NIST framework is a common reference point for organizing them into a set auditors already recognize.
Turning requirements into demonstrable evidence is the point of audit readiness, which SMS supports through its Cybersecurity Compliance Services rather than a single point-in-time pass.
Move the Data Without Losing Control of It
Classification sits at the top of any data migration checklist, and the managed approaches described in the AWS documentation for its Database Migration Service cover both one-time moves and ongoing replication. Three steps keep control of the data during the move:
- Classify the data (step 7). Decide what is sensitive, regulated, or business-critical, because that decision drives everything after it.
- Match the transfer method (step 8). Choose an approach that fits the classification and the downtime the workload can tolerate.
- Validate and reconcile (step 9). Confirm record counts and key data match the source before retiring anything.
Keeping source systems available during cutover is what makes that reconciliation safe, and our guide to the AWS Database Migration Service: A Guide to Migrate Legacy Databases walks through minimizing downtime during database moves.
Set Up Infrastructure You Can Actually Operate
Infrastructure you can operate is defined in code, and security belongs inside the delivery pipeline itself, which is the focus of SMS DevSecOps Solutions. Three steps make the environment repeatable and recoverable:
- Define the landing zone as Infrastructure as Code (step 10). Make the account structure repeatable and reviewable instead of assembled by hand.
- Set up networking and connectivity (step 11). Include the connections a hybrid cloud migration needs while workloads span on-premises systems and AWS.
- Design backup and disaster recovery (step 12). Decide recovery targets before cutover, not after something breaks.
Recognized secure-migration architecture guidance, including the CISA guidance on cloud security, sets out recommended approaches to cloud migration and data protection.
Validate, Document, and Hand the Environment Over
A migration is finished when your team can operate what was built, not when the last workload lands. The final three steps hand the environment over cleanly:
- Test and validate (step 13). Check performance against the pre-migration baseline you captured during discovery.
- Document and write runbooks (step 14). Record how the environment is operated and audited, written for the people who will run it day to day.
- Train and hand over (step 15). Transfer ownership so your internal team runs the environment without depending on whoever built it.
SMS treats this handover as part of the delivery, leaving clients with maintainable infrastructure, clear documentation, and the knowledge to run it.
Start Your Migration with the Foundation in Place
A first move to AWS goes right when discovery, security, compliance, and operability are decided up front rather than patched afterward. The fifteen steps are less a sequence to rush through than a set of decisions to make before the first workload moves.
If you want a clearer view of your environment before you commit to a plan, SMS can help you request a cloud assessment and map the next practical step.
Frequently Asked Questions
What should an AWS migration checklist include for a first-time move?
Cover the five foundations in order: planning and discovery, security and compliance, data, infrastructure, and validation with handover. First-time moves fail most often when security is left until the end.
How do you maintain cloud migration security during the move itself?
Configure identity, encryption, and logging before workloads move, so controls exist from the first cutover. Validate those controls at each cutover rather than confirming them after everything has already migrated.
What belongs on a data migration checklist?
Data classification comes first, then a transfer method matched to sensitivity and downtime tolerance. Finish with reconciliation after the transfer, so you can confirm nothing was lost or altered against the source.
Does a hybrid cloud migration change the checklist?
The same fifteen steps apply. Networking, connectivity, and disaster recovery simply get more attention, because workloads span on-premises systems and AWS during and after the move.
