Migrating VMware Workloads to AWS EC2: Strategies and Benefits
If your leadership is asking for a cleaner cost story and faster releases this quarter, you are not alone. After Broadcom ended the sale of VMware perpetual licenses and moved customers to subscription bundles, many enterprises revisited their virtualization roadmaps. That shift, plus rising renewal complexity, is a common trigger to evaluate a VMware to AWS migration for selected workloads.
At the same time, independent studies show material value in running VMware in the AWS ecosystem. IDC reported up to 50 percent lower combined infrastructure and operations cost, 95 percent less unplanned downtime, and a 361 percent three-year ROI for environments built on VMware technology in AWS. Even if your destination is native EC2, these data points set the bar for what good should look like during and after migration.
Why do enterprises move VMware to AWS?
Cost predictability, faster scaling, and fresher hardware are the obvious reasons. There are also less discussed drivers:
License pressure and contract risk
The end of perpetual licensing and program changes have pushed many teams to rethink their platform mix before renewals. Legal disputes in the market underscore how contract terms can impact operations at scale. A planned VMware to AWS migration reduces exposure to sudden licensing shifts.
Operational consistency across regions
EC2 gives you consistent instance families, storage, and networking primitives across dozens of Regions.
Time to value
Rehosting with AWS Application Migration Service (AWS MGN) is fast, with agent-based replication for tight cutovers and an agentless vCenter path when you need it. This supports a pragmatic VMware to AWS migration without long refactors.
Evidence-based cost models
Migration Evaluator builds a business case using your actual utilization, with options to model Bring-Your-Own-License and even compare with VMware-based cloud configurations. That helps you justify or kill scope with facts.
AWS tools that matter for VMware
Below is a practical view of what to use, when, and why. These are the tools I see most in successful programs.
These tools deliver the most value when orchestrated together as part of end-to-end AWS migration services, rather than being used in isolation.
| Need | AWS Service | How it helps | Notes |
| Inventory and dependency mapping | Application Discovery Service Agentless Collector | Pulls vCenter metadata and performance to seed Migration Hub. | Discovery Connector is being deprecated in 2025. Plan for the Agentless Collector. |
| Orchestration and tracking | Migration Hub and Migration Hub Orchestrator | Predefined templates for rehosting to EC2 and SAP or SQL Server paths. Central place to see status across waves. | Orchestrator standardizes runbooks and guardrails. |
| Low-risk rehost | AWS Application Migration Service (MGN) | Agent-based replication for shortest cutover windows. Agentless vCenter client for snapshot-based replication. | Mind the VMware-specific limitations like cross-vCenter vMotion not supported during replication. |
| Cost model and license scenarios | Migration Evaluator | TCO with right-sizing, tenancy choices, and BYOL modeling. | Use early to set budgets by wave. |
| Post-cutover cost hygiene | Compute Optimizer | Identifies over and under-provisioned EC2. Many customers cut compute costs up to 25 percent using its recommendations. | Feed findings into sprint-based optimization. |
When your assessment needs to keep vSphere operational models for a period, VMware Cloud on AWS plus FSx for NetApp ONTAP as an external datastore is a credible staging pattern, especially for storage-heavy workloads that need to scale capacity independent of hosts.
You can also run Hybrid VMware workloads on AWS while you unwind dependencies. Hybrid Linked Mode lets you view and manage both on-prem vCenter and cloud SDDC inventories from one console, which reduces confusion during long cutovers.
Migration strategies: rehost vs re-architect
Most enterprises end up with a two-lane plan. Lane A rehosts the majority to hit timeline and budget. Lane B re-architects selected apps where the payoff is clear. Use the table below to keep the decision honest.
| Decision factor | Rehost to EC2 | Re-architect to managed or containers |
| Timeline | Weeks to months. Pipeline-driven. | Months to multi-year depending on rewrite scope. |
| Risk profile | Low to medium. Existing OS and app stack. | Higher. Code and data model change. |
| Cost in year one | Lower project cost. Opex optimized later via EC2 instance right-sizing. | Higher project cost. Lower long-term ops if done well. |
| Skills required | Windows/Linux admin, vSphere, AWS MGN operators. | Product engineering, SRE, data migration, platform ops. |
| When it wins | Stable apps with modest performance needs. Tight deadlines. | Apps with scaling limits, tech debt, or licensing drag. |
A few field-tested rules of thumb:
- Rehost 60 to 80 percent of VMs first. Do it with strict wave hygiene and a freeze window per wave.
- Re-architect the 10 to 20 percent of apps that either constrain growth or have licensing pain.
- Keep a thin path for Hybrid VMware workloads on AWS during the messy middle. It gives you operational continuity while you drain the old estate.
Use AWS Migration Hub VMware integration to keep discovery data, application groupings, and wave plans consistent across teams. Treat the Migration Hub view as the program’s single narrative.
Cost, scalability, and resilience benefits
Right-size first, then buy commitment
Start with EC2 instance right-sizing using Compute Optimizer after each wave. Many customers see around 25 percent compute savings when they act on the findings, before any Savings Plans. This is the cleanest way to fund the next sprint.
Bring facts to license conversations
Migration Evaluator models BYOL vs license-included EC2, dedicated hosts where needed, and even scenarios that compare native EC2 with curated VMware stacks. This avoids hand-wavy claims in steering committee meetings.
Scale and recover faster
Rehosting to EC2 gives you instance variety and zonal spread, so you can scale up or out in minutes and design multi-AZ patterns without re-engineering hypervisors. If you need a stepping stone with vSphere semantics, VMware Cloud on AWS offers familiar HA and vMotion behavior while sitting inside AWS Regions. IDC data points show less downtime and strong ROI when this model fits.
Cutover confidence
Use agent-based MGN replication for the shortest cutover window. Keep agentless as an option when agents are not feasible. Observe the documented replication limitations for VMware so you do not collide with vCenter operations mid-wave.
Best practices for VMware-to-AWS projects
Program setup that avoids rework
- Build your fact base in two weeks: run the Agentless Collector, group by business service, and publish the first wave map in Migration Hub. Use AWS Migration Hub VMware integration to standardize the feed from vCenter and keep owners aligned.
- Decide on identity early. Map AD, SSO, and break-glass procedures before pilot cutover.
- Create a small platform catalog: golden AMIs, EBS types by profile, backup defaults, and tagging.
Wave execution that keeps risk low
- Pilot with noisy but noncritical services. Exercise rollback with MGN replicas and document actual downtime.
- Freeze VM moves in vCenter during active replication, as cross-vCenter moves are unsupported. Publish a simple “what ops can I do today” checklist for the vSphere team.
- After each wave, enforce EC2 instance right-sizing and remove unattached volumes. Bake this into a sprint retrospective with owners.
Architecture guardrails that age well
- Separate the migration decision from the long-term target. Rehost now. Re-architect once usage patterns in CloudWatch tell you where the payoff is.
- For storage-heavy vSphere stacks, use FSx for NetApp ONTAP as an external datastore when you need to scale capacity independently of hosts during transition.
- Keep a thin hybrid control plane for 6 to 12 months. Hybrid Linked Mode reduces swivel-chair operations while you retire servers on-prem.
Pitfalls I still see
- Treating rehost as “done.” The real savings appear only after you right-size, tune EBS, and place commitments.
- Underestimating DNS, certificates, and firewall rule hygiene. These cause more rollbacks than code.
- Mixing migration tooling without a single truth. If you try to run spreadsheets next to Migration Hub, they will diverge within days.
What “new” looks like in practice?
A simple three-phase pattern keeps the program honest. It also reads well to finance and audit.
1. Prove the case with your data
Run the Agentless Collector and Migration Evaluator on a real subset. Show current utilization percentiles, modeled EC2 shapes, and license scenarios. Lock the first two waves and their budget.
2. Ship value in weeks
Rehost a pilot with MGN to EC2, document observed downtime, then scale waves. Record every cutover in Migration Hub with owner sign-off. Keep a short-lived staging footprint for hard workloads using the hybrid control plane described earlier.
3. Optimize and iterate
After each wave, drive Compute Optimizer actions, then apply Savings Plans. Make this a quarterly ritual with clear targets and a dashboard that ties to your cloud budget.
Conclusion
A good VMware to AWS migration is not about moving VMs faster. It is about creating a predictable funnel of waves, proving the money with your own data, and enforcing a tight optimization loop after cutover. Use MGN and Migration Hub to make rehosting boring. Use Evaluator and Compute Optimizer to keep spend honest. Keep hybrid tools in your pocket for the messy middle. With this approach, your VMware to AWS migration timeline becomes a series of weekly wins, not a cliff.
If you want, I can adapt this plan into a week-by-week runbook for your environment and line it up with your renewal dates. It will keep the VMware to AWS migration conversation grounded in facts, not opinions.


