Cloud Migration Checklist 2026: 8 Steps & Best Practices

Cloud migration can improve scalability, system availability, and access to managed cloud services. , it involves much more than moving servers and data to a new environment. Applications often depend on databases, identity systems, network connections, certificates, and external services. If you overlook any of these dependencies, normal business operations may be disrupted.

Careful planning is therefore necessary at every stage. A complete cloud migration checklist helps organizations organize the work and reduce the risk of security gaps, unexpected costs, data corruption, and service interruptions. This article discusses the main steps involved in cloud migration, from strategy development and cloud readiness assessment to cutover, disaster recovery, and cost .

Cloud Migration Steps

This checklist organizes cloud migration into eight connected areas of work:

1. Define the Cloud Migration Strategy and Business Objectives.
2. Assess Cloud Readiness and Current Infrastructure.
3. Select a Cloud Provider and Cloud Services.
4. Design the Target Cloud Architecture and Network Connectivity.
5. Prepare the Data Migration, Backup, and Disaster Recovery Strategy.
6. Establish Security, Compliance, and Governance.
7. Conduct Pilot Migration, Testing, and Cutover Planning.
8. Plan Cloud Costs and Optimize Post-Migration Operations.

These steps provide a general migration path. , the order and scope may differ based on workload , compliance requirements, and business priorities. Security, governance, and cost management begin during initial planning and continue throughout migration and ongoing operations.

1. Define The Cloud Migration Strategy And Business Objectives

Cloud migration is the process of moving applications, data, and other IT resources from an on-premises data center, private hosting environment, or another cloud platform to a cloud environment. It may involve one application or a large part of an organization’s IT infrastructure.

A cloud migration strategy defines what will move, which approach will be used, and the migration order. It should also assign responsibility for technical decisions, risk acceptance, cutover approval, and rollback. These decisions should reflect each workload’s , sensitivity, and importance.

The strategy should relate to business objectives, such as:

• reducing infrastructure maintenance;
• improving service availability;
• supporting future growth;
• modernizing critical applications; and
• meeting compliance requirements.

These objectives influence workload priority, migration method, schedule, and budget. Metrics such as application performance, recovery time, cloud spending, and user satisfaction can then measure the results.

Each workload also needs a suitable migration path. AWS identifies seven common migration strategies: rehosting, replatforming, refactoring or re-architecting, repurchasing, retaining, relocating, and retiring. Retaining and retiring identify workloads to keep in the existing environment or decommission. The appropriate strategy depends on the application’s technical condition, business importance, migration , available resources, and expected cloud benefits.

2. Assess Cloud Readiness And Current Infrastructure

A cloud readiness assessment determines whether the organization’s applications, infrastructure, and teams are prepared for migration. It begins with an inventory of applications, databases, servers, virtual machines, storage systems, network appliances, operating systems, application programming interfaces (APIs), certificates, and licenses. The inventory should also identify each workload’s owner and business purpose.

The organization should then map database connections, identity services, file shares, network ports, authentication methods, and external services. The organization should also record current CPU use, memory consumption, storage input/output operations per second (IOPS), network traffic, latency, and transaction volume. These baselines support later comparisons with cloud performance.

Using this information, each workload can be assessed by business importance, technical compatibility, dependency , data sensitivity, and acceptable downtime. The review should also cover internal cloud skills and applicable requirements under the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS), and relevant data residency, retention, and audit policies. Based on the assessment, workloads can be selected for migration, modernization, replacement, retention, or retirement.

3. Select A Cloud Provider And Cloud Services

Cloud provider selection should reflect the technical, security, compliance, and support requirements of the workloads. The organization should compare geographic coverage, data residency options, available services, and service-level agreements. Availability commitments, maintenance terms, support response times, and escalation procedures are particularly relevant for business-critical applications.

The selected services should also match workload requirements. Managed services for databases, object storage, containers, and backups can reduce routine administration. , the organization should assess compatibility, performance, pricing, and data portability. Proprietary APIs, contract terms, and egress charges also require attention because they may increase vendor lock-in.

Finally, the organization should select a suitable cloud and hosting approach. A single cloud provider may simplify management, while a multi-cloud model may support specific technical or regulatory requirements but introduce additional . Private cloud, dedicated infrastructure, and managed hosting may also be suitable.

At Atlantic.Net, we offer cloud, dedicated, private cloud, colocation, and compliance-focused hosting services. These options provide different combinations of infrastructure and management scope. The final choice should reflect the needs of the workloads being migrated.

4. Design The Target Cloud Architecture And Network Connectivity

The target cloud architecture defines the new environment’s structure and where workloads sit within it. It should cover accounts or subscriptions, resource groups, computing services, storage tiers, databases, and shared services. Separate development, testing, and production resources to reduce operational and security risks.

A cloud landing zone provides a common foundation for identity, networking, logging, security policies, and governance. For example, Microsoft describes an Azure landing zone as an architecture for governing, securing, and scaling a multi-subscription Azure environment.

Infrastructure as code can further improve consistency through version-controlled templates. The architecture should also reflect workload availability, performance, recovery, and budget requirements. Business-critical applications may require multiple availability zones, while other applications may use a simpler design.

The related network design should connect cloud resources with users, applications, and systems that remain in the existing data center. It should cover virtual networks, subnets, routing, firewalls, private endpoints, and traffic between the two environments. Connectivity may use a virtual private network (VPN), a dedicated private connection, or both, depending on bandwidth, latency, reliability, security, and cost requirements. Also test Domain Name System (DNS) changes, certificates, load balancing, and health checks before migrating to production.

5. Prepare The Data Migration, Backup, And Disaster Recovery Strategy

The data migration plan should classify information by sensitivity, business importance, size, retention requirements, and acceptable downtime. This classification helps determine a suitable transfer method for each dataset.

Select online, offline, or combined transfer methods based on data volume, available bandwidth, the migration window, and how quickly source data changes. An encrypted network connection may be sufficient, while large datasets or limited bandwidth may justify secure offline transfer appliances. Databases with limited downtime may need replication or continuous synchronization.

Once the organization selects a transfer method, it should define the required data protection and validation controls. Encrypt data during network transfer using a secure protocol appropriate to the transfer method, and protect it at rest through encryption and access controls. Encrypt offline transfer media and physically protect it during transport.

After transfer, use checksums, record counts, database reconciliation, and application-level tests as appropriate to validate data integrity. For replicated datasets, the plan should include final synchronization and data checks before directing production traffic to the target environment.

In addition to transferring data, the organization needs a backup and recovery plan. The plan should define backup frequency, retention periods, storage locations, access controls, and restoration procedures.

Each workload should also have a recovery time objective (RTO) and recovery point objective (RPO). The RTO defines the maximum acceptable time to restore service after an interruption. The RPO defines acceptable data loss measured in time.

The recovery design should reflect these targets and the failure scenarios it must withstand. Another availability zone may provide recovery from localized or zonal failures, while recovery from a region-wide outage requires recovery capabilities outside the affected region. Restoration and failover testing should then verify whether the planned recovery targets can be achieved under the tested conditions.

6. Establish Security, Compliance, And Governance

Plan and establish security, compliance, and governance controls from the outset, before migrating to production. The organization should start by defining the provider’s and customer’s responsibilities for each service.

Security responsibilities vary by cloud service model and the services purchased. The provider protects the underlying infrastructure and any platform or application components it manages. The customer remains responsible for its data, identities, access permissions, and configurations it controls. Document responsibilities for operating systems, patching, and application security for each service.

Based on this division, the organization should implement centralized authentication, multifactor authentication, role-based access control, and regular access reviews. Logging should capture administrative actions, network activity, configuration changes, and security alerts. In addition, the organization should document vulnerability scanning, patch management, and incident response procedures.

The organization should then confirm the regulatory and industry requirements for each workload. Covered entities and business associates handling electronic protected health information (ePHI) must address applicable HIPAA requirements.

According to the U.S. Department of Health and Human Services, a HIPAA business associate agreement (BAA) is required when a cloud service provider creates, receives, maintains, or transmits ePHI on behalf of a covered entity or business associate. The BAA should cover the relevant services, and both parties must meet their applicable HIPAA responsibilities. Hosting alone does not make an organization compliant.

7. Conduct Pilot Migration, Testing, And Cutover Planning

Conduct a pilot migration with a noncritical workload that includes representative application, database, identity, and network dependencies. The organization should test application functions, performance, security controls, integrations, APIs, scheduled tasks, and user acceptance. Then compare results with the performance baselines recorded during the readiness assessment.

Use the pilot results to prepare the migration runbook. This document should identify migration tasks, owners, planned start and completion times, validation checks, and communication procedures. It should also establish go/no-go criteria for production migration.

Rollback procedures should define the conditions that require stopping the migration or reversing changes. Document and test restoration actions, data reconciliation, responsibilities, and stakeholder communication before moving critical applications.

The rollback plan should also define how to preserve and reconcile data written after cutover, how long rollback remains feasible, and who decides whether to roll back or correct the problem in the new environment.

After redirecting production traffic, validate application functionality, data integrity, user access, performance, and monitoring before declaring the migration complete. These production checks are separate from pre-cutover testing.

8. Plan Cloud Costs And Optimize Post-Migration Operations

Estimate cloud costs during initial planning and refine them before production migration. The budget should cover compute, storage, databases, backups, licenses, support, monitoring, network transfer, and data egress.

Where supported, resource tags can connect this spending with applications, owners, departments, and cost centers. Configure budget alerts and anomaly detection where available to support cost control.

After the migration, review actual resource utilization so you can right-size cloud resources. Remove temporary resources when no longer needed, and review backups, monitoring, and scheduled tasks.

Retire source systems for migrated workloads only after stabilization, formal acceptance, and the agreed rollback period, and address retention and audit requirements. Systems that still support other workloads must remain available.

Update operational documentation and train employees before they take on new responsibilities.

Common Cloud Migration Challenges

Cloud migration can create technical, operational, security, and financial problems when planning is incomplete. The following challenges are common during the migration process:

• Incomplete dependency mapping: Undocumented connections among applications, databases, identity services, and external systems can cause cutover failures.
• Application compatibility problems: Legacy applications may depend on operating systems, hardware, or network configurations that the target environment does not support. They may require modification before migration.
• Slow data transfer and downtime: Large datasets and limited bandwidth can extend the migration timeline. Inadequate synchronization may also increase service interruption during cutover.
• Security and compliance gaps: Incorrect access permissions, missing logs, and weak configurations can expose sensitive data or create compliance concerns.
• Limited cloud skills: Teams may lack experience in cloud architecture, automation, monitoring, access management, and cost control. Training or managed support may therefore be required.
• Unexpected costs and vendor lock-in: Poor resource sizing, uncontrolled usage, data egress charges, and proprietary services can increase costs or make a later migration difficult.

These risks can be reduced through accurate infrastructure assessment, pilot migrations, tested rollback procedures, employee training, and regular cost monitoring.

For larger migration programs, move workloads in controlled, dependency-aware groups so you can correct issues found in one stage before the next stage begins. Tightly connected applications and services may need to cut over together.

Final Cloud Migration Checklist

Before Production Cutover

Before proceeding with production cutover, the organization should verify that the following planning, technical, security, and operational requirements have been completed:

• business objectives and success metrics are documented;
• applications, infrastructure, and dependencies are inventoried;
• workload readiness and compliance requirements are assessed;
• the cloud provider and target architecture are approved;
• network connections and data transfer methods are tested;
• backup, retention, RTO, and RPO requirements are defined;
• security and access controls are implemented, and applicable compliance agreements are in place;
• pilot migration, target-environment testing, and pre-cutover user acceptance testing are completed;
• cutover and rollback procedures are approved;
• budget alerts and monitoring tools are configured as planned; and
• recovery procedures are tested, with post-cutover validation criteria and owners defined.

After Production Cutover

Validate production functionality, data integrity, integrations, user access, performance, and monitoring against the agreed acceptance criteria. Confirm that backups, scheduled tasks, and support arrangements are working in the new environment.

Application owners and relevant stakeholders should confirm the migrated workload is operating as expected before declaring the migration complete. Retain the agreed fallback capability during stabilization and the rollback period.

Conclusion

Successful cloud migration depends on clear business objectives, accurate infrastructure assessment, suitable cloud architecture, secure data transfer, and careful testing. These elements work together throughout the migration process.

For larger migration programs, controlled, dependency-aware groups provide a practical way to organize the work. Each group’s approach should reflect downtime tolerance, data consistency, and rollback requirements, including whether tightly connected services need to cut over together.

Review each completed group against the original objectives and success metrics. Lessons from this review can improve planning for later workloads. They can also support stronger security controls, recovery procedures, resource management, and cost .

In this way, cloud migration becomes a controlled and measurable process, followed by ongoing improvements to the cloud environment.

To discuss the hosting options for your migration, share your workload requirements with our team at Atlantic.Net. Include current resource usage, application dependencies, and recovery requirements so we can discuss a suitable environment. (Atlantic.Net)Richard retains the publication decision.