Most companies don't migrate to AWS because the cloud is fashionable. They migrate because something in the business has broken: a data center lease is ending, a hardware refresh would cost millions, licensing terms have changed overnight, a new market requires local hosting, or the product simply can't scale on the current platform.
AWS cloud migration services turn that pressure into a planned, low-risk move. A good migration doesn't just relocate servers. It uses the move to modernise how software is built, deployed, secured and paid for, with DevOps practices such as Infrastructure as Code, CI/CD, automated security and FinOps baked in from day one.
The tooling has also changed sharply. AWS now offers agentic AI through AWS Transform to accelerate VMware, .NET and mainframe modernisation, and its Graviton5-based instances reached general availability in 2026, giving migrated workloads better price-performance than ever.
This guide covers how AWS migration works, the five most common business use cases with real-world scenarios, the AWS services worth targeting in 2026, how to plan and measure success, and answers to the questions business and technology leaders ask most.
What Are AWS Cloud Migration Services?
AWS Cloud Migration Services encompass a suite of tools and managed services that support the transition of applications, data, and workloads to the AWS cloud. These include:
- AWS Migration Hub: Centralized tracking of migrations across multiple AWS and partner solutions.
- AWS Application Migration Service (MGN): Automates lift-and-shift migrations.
- AWS Database Migration Service (DMS): Enables seamless migration of databases.
- AWS DataSync: Accelerates data transfers to AWS from on-premise or other cloud environments.
These services allow businesses to manage every phase of migration, from discovery and planning to execution and optimization.
Use case 1: Data center exit and hardware refresh avoidance
The business problem. A colocation lease is ending, or servers, storage and network gear are due for a costly refresh. Renewing locks the company into another three to five years of capital spend, power costs and on-site staff.
Example scenario. A mid-sized logistics company runs 180 virtual machines in a colocation facility whose contract ends in 14 months. A hardware refresh quote arrives that would consume most of next year's IT budget. Leadership decides to exit instead.
The AWS and DevOps solution.
- Discovery and dependency mapping with AWS Application Discovery Service, followed by a 7 Rs decision for every workload.
- A multi-account landing zone built as code with Terraform or AWS Control Tower before any workload moves. Our guide to AWS landing zone best practices covers account structure and guardrails.
- Server migration with AWS Application Migration Service (MGN) and database migration with AWS Database Migration Service, run in waves with rehearsed cutovers.
- Planning backwards from the lease end date, with buffer for testing and network cutover.
The outcome. Capital spend shifts to predictable operating cost, the refresh is avoided entirely, and the team stops managing physical hardware.
Use case 2: Leaving VMware after licensing changes
The business problem. Following Broadcom's acquisition of VMware, many organisations faced new bundled licensing and significantly higher renewal quotes. Staying put means paying more for the same infrastructure.
Example scenario. A financial services firm runs 400 VMs on vSphere. Its renewal quote rises sharply, and the board asks for an exit plan before the next contract cycle.
The AWS and DevOps solution.
- AWS Transform uses agentic AI to analyse VMware environments, map dependencies, plan waves and generate network configurations, with MGN performing the server replication.
- A choice per workload: rehost to EC2 for speed, or replatform databases to Amazon RDS or Aurora to cut licence and admin overhead.
- Infrastructure as Code and CI/CD for the new environment, so the team gains automation rather than recreating manual vSphere processes in the cloud.
The outcome. Lower licensing exposure, a faster path off VMware than a manual migration, and a platform ready for further modernisation.
Use case 3: Modernising legacy applications
The business problem. A monolithic application on ageing Windows servers is slow to change, hard to scale and dependent on a few long-serving engineers. Every release is risky and new features take months.
Example scenario. An e-commerce company's ASP.NET Framework platform crashes during seasonal sales. Adding capacity requires buying servers weeks in advance, and deployments happen once a month overnight.
The AWS and DevOps solution.
- Port .NET Framework code to modern cross-platform .NET using AWS Transform for .NET, then containerise.
- Run containers on Amazon ECS or EKS with autoscaling, or move suitable functions to AWS Lambda.
- Introduce CI/CD pipelines, automated tests and blue-green deployments so releases become routine.
- Use the strangler-fig pattern to carve services out of the monolith gradually rather than in one risky rewrite.
The outcome. Capacity that scales with demand, weekly or daily releases instead of monthly ones, and less dependence on individual experts.
Use case 4: Disaster recovery and business continuity
The business problem. The business runs from a single site. A fire, flood, power failure or ransomware attack could take everything offline for days, and the existing DR plan has never been fully tested.
Example scenario. A healthcare SaaS provider must show customers and auditors a tested recovery plan with clear recovery time (RTO) and recovery point (RPO) objectives. Building a second data center would double infrastructure costs.
The AWS and DevOps solution.
- AWS Elastic Disaster Recovery continuously replicates servers to low-cost staging resources and launches full recovery environments in minutes when needed.
- Immutable, cross-account backups with AWS Backup to protect against ransomware.
- DR environments defined as code, so they can be tested regularly through automated drills instead of annual manual exercises.
- A gradual path from DR-only to running production on AWS once the team is confident.
The outcome. A tested, auditable recovery capability at a fraction of the cost of a second site, and a natural first step into AWS.
Use case 5: Cloud consolidation, global expansion and data residency
The business problem. After acquisitions or years of team-by-team decisions, workloads are spread across several clouds and hosting providers. Costs are hard to control, security is inconsistent and expanding into new regions with local data rules is slow.
Example scenario. A SaaS company runs its core product on Azure, analytics on Google Cloud and a recently acquired product on a regional host. It wants one platform, one security model and the ability to launch in the EU and Middle East with in-region data storage.
The AWS and DevOps solution.
- Service mapping from the source cloud to AWS equivalents, with a phased plan per product. Our Azure to AWS migration guide walks through this mapping in detail.
- One landing zone with consistent identity, logging, guardrails and cost allocation across all products.
- Region-specific deployments from the same Terraform modules and CI/CD pipelines, so new markets launch from templates rather than bespoke builds.
- Data transfer and egress planned up front to avoid surprise costs during the move.
The outcome. Simpler operations, consistent security and compliance, and faster entry into new markets.
Modern AWS services to target in 2026
A migration is the cheapest moment to choose better building blocks. These are the services and instance choices worth evaluating:
| Area | 2026 options | Why it matters |
|---|---|---|
| General compute | Graviton-based EC2 (Graviton4 and Graviton5), latest Intel and AMD families | Better price-performance than older generations |
| Containers | Amazon EKS, Amazon ECS on Fargate | Scale and deploy without managing servers |
| Serverless | AWS Lambda, Step Functions, EventBridge | Pay per use for event-driven and spiky workloads |
| Databases | Amazon Aurora, RDS, DynamoDB | Managed backups, patching and scaling |
| Migration tooling | AWS Transform, MGN, DMS, Elastic Disaster Recovery | Faster, lower-risk moves |
| AI | Amazon Bedrock, GPU instances | Add AI features once data is in AWS |
Choosing EC2 instances
AWS releases new EC2 families frequently, so always check the official Amazon EC2 instance types documentation rather than an annual roundup. The biggest 2026 change is Graviton5: the general-purpose M9g and M9gd instances became generally available in June 2026, with compute- and memory-optimised C9g and R9g families following later in the year. Early adopters reported throughput gains of around 36% over the previous generation for some production workloads.
During migration, a practical approach is to rehost onto a right-sized current-generation instance first, then test Arm-based Graviton instances for containerised and interpreted workloads (Java, Python, Node.js, .NET) where code changes are usually minimal. AWS Compute Optimizer recommends sizes based on real usage once workloads are running.
Planning, risks and how to measure success
Common risks and how to reduce them
| Risk | How to reduce it |
|---|---|
| Hidden dependencies cause outages at cutover | Automated discovery, dependency mapping and a pilot wave |
| Costs higher than expected after migration | Rightsizing, Savings Plans and tagging from day one |
| Security gaps in the new environment | Landing zone guardrails, least-privilege IAM, centralised logging |
| Downtime during cutover | Continuous replication, rehearsed runbooks and rollback triggers |
| Skills gaps in the team | Partner-led waves with knowledge transfer and documentation in code |
For a deeper look at what goes wrong and how teams fix it, read 10 common AWS migration challenges and how to fix them.
KPIs to track
- Business: total cost of ownership versus baseline, time to launch in new regions, revenue impact of improved availability.
- Migration progress: workloads migrated per wave, cutover success rate, unplanned downtime minutes.
- Delivery: deployment frequency and lead time for changes after modernisation.
- Operations: availability against SLOs, mean time to recovery, cost per customer or transaction.
Common Migration Strategies
AWS supports several migration strategies tailored to different business goals:
- Rehost (Lift & Shift): Move apps as-is to the cloud
- Replatform: Optimize infrastructure with minimal changes
- Refactor: Redesign apps for cloud-native environments
- Repurchase: Replace with SaaS
- Retire: Decommission obsolete systems
- Retain: Keep workloads on-premise temporarily
Benefits of Using AWS for Cloud Migration
- Speed and Agility: Faster provisioning and deployment
- Cost Optimization: Pay-as-you-go pricing with auto-scaling
- Security: In-built compliance and security controls
- Innovation Enablement: Access to AI, ML, IoT, and analytics services
- Global Reach: Deploy workloads in multiple regions for low latency
How to Get Started
- Assessment: Use AWS Migration Readiness Assessment (MRA)
- Planning: Define success metrics and prioritize workloads
- POC: Pilot migration with a non-critical workload
- Execution: Use AWS Migration tools
- Optimization: Implement cost control and monitoring
Conclusion
AWS Cloud Migration Services empower businesses to evolve faster by eliminating the constraints of legacy systems. Whether you're modernizing infrastructure, enabling disaster recovery, or scaling web apps, AWS offers flexible, secure, and cost-efficient solutions for every use case. As digital transformation accelerates across industries, migrating to AWS is not just a technical upgrade—it’s a strategic enabler for innovation and growth
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