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AWS Cloud Migration: Complete Guide for Businesses

A practical guide from CloudIVA Consulting

Moving workloads to Amazon Web Services (AWS) is more than copying servers from one environment to another. A successful cloud migration starts with understanding the existing infrastructure, applications, dependencies, security requirements, business priorities and operating model.

This guide explains the major stages of an AWS cloud migration and the areas businesses should evaluate before, during and after the move.

What is AWS Cloud Migration?

AWS cloud migration is the process of moving applications, data, infrastructure and related workloads into AWS. The migration can involve a simple infrastructure move, a change in platform or a broader modernization initiative.

The right approach depends on the workload. Some applications can be moved with limited changes, while others may benefit from containers, managed databases, serverless services or redesigned cloud-native architectures.

Why Businesses Consider AWS Migration

Organizations may evaluate AWS migration for infrastructure flexibility, access to managed cloud services, improved operational visibility, disaster recovery requirements, modernization goals, geographic expansion or a change in hosting model.

The business case should be based on actual workload characteristics and objectives rather than assuming that moving to the cloud automatically reduces cost or operational effort.

The 7 Common Migration Strategies

1. Rehost

Often called “lift and shift,” rehosting moves a workload to AWS with relatively limited application changes.

2. Replatform

Replatforming introduces selected improvements without completely redesigning the application, such as moving to a managed database.

3. Refactor

Refactoring involves significant architectural or application changes to take greater advantage of cloud-native capabilities.

4. Repurchase

Repurchasing means replacing an existing solution with a different commercial or cloud-based product.

5. Retain

Some workloads may remain where they are for a period because of technical, regulatory, contractual or business constraints.

6. Retire

Applications or infrastructure that are no longer required can be identified and retired instead of being migrated.

7. Relocate

In some scenarios, an existing environment or workload can be moved to another AWS environment with limited architectural change.

AWS Migration Assessment: What Should Be Checked?

• Compute: server inventory, CPU, memory, operating systems and utilization.
• Storage: capacity, growth, performance and lifecycle requirements.
• Databases: engines, versions, dependencies, size and availability requirements.
• Networking: connectivity, IP ranges, firewall rules, routing and internet dependencies.
• Applications: owners, dependencies, architecture and business criticality.
• Security: identity, access, encryption, logging, vulnerabilities and compliance requirements.
• Backup and DR: recovery objectives, backup policies and recovery procedures.
• Licensing: software licensing, support contracts and BYOL considerations.
• Cost: current infrastructure spend and expected AWS consumption.

Designing the AWS Target Architecture

After discovery, the target environment can be designed around workload requirements. Common considerations include AWS accounts, VPC design, subnets, security groups, IAM, compute, storage, databases, load balancing, monitoring, backup and logging.

The target architecture should also consider how the environment will be operated after migration. A technically correct architecture still needs practical ownership, monitoring, documentation, access controls and support processes.

Security During AWS Migration

Security should be designed into the migration rather than added after the workload has moved. Areas to review include identity and access management, least-privilege permissions, network segmentation, encryption, secrets management, logging, monitoring and security alerting.

Migration plans should also define production access, credentials, backups, change management and rollback procedures.

Migration Execution and Cutover

1. Confirm inventory and dependencies.
2. Prepare the AWS landing environment.
3. Configure networking and security controls.
4. Build and test the target workload.
5. Migrate or replicate required data.
6. Validate application functionality and performance.
7. Plan and execute production cutover.
8. Monitor the workload after cutover.
9. Document the final environment and operational procedures.

Cost Optimization After Migration

Cloud cost management should continue after migration. Teams can evaluate rightsizing, scheduling, storage lifecycle policies, purchasing options, tagging, budgets and other FinOps practices.

Comparing original infrastructure costs with actual AWS consumption after stabilization creates a better basis for future optimization than relying only on an initial estimate.

Common AWS Migration Challenges

• Incomplete infrastructure inventory
• Undocumented application dependencies
• Unexpected data-transfer requirements
• Database compatibility or licensing considerations
• Insufficient testing before production cutover
• Overlooking security and access controls
• Unclear ownership after migration
• Cloud costs that are not monitored after go-live

A Practical AWS Migration Checklist

How CloudIVA Consulting Can Help

CloudIVA Consulting supports organizations across cloud migration, DevOps and Kubernetes, cloud security, FinOps, Generative AI and managed cloud services.

For a migration engagement, the work can include discovery and assessment, workload analysis, target architecture, migration planning, implementation support, testing, documentation and post-migration optimization. The exact scope can be tailored to the organization's applications, infrastructure and business requirements.

Frequently Asked Questions

How long does an AWS migration take?

There is no single timeline. Duration depends on workload count, dependencies, data volume, migration strategy, testing requirements and business constraints.

Can workloads be migrated from Azure or Google Cloud to AWS?

Yes. Cross-cloud migrations can be assessed and planned based on architecture, dependencies, licensing, data movement, target AWS services and business requirements.

Does cloud migration always reduce costs?

No. Cost outcomes depend on utilization, architecture, licensing, data transfer, purchasing choices and operating practices.

Should we migrate first or modernize first?

It depends on the application and business objective. Some workloads may benefit from migration followed by modernization, while others may justify architectural changes before migration.