AWS VMware Cloud on AWS: Deployment Architecture and Use Cases

A comprehensive guide to deploying VMware Cloud on AWS as part of a broader infrastructure modernization strategy. Learn how to use VMware Cloud on AWS as a transitional path for VMware-dependent workloads while migrating the majority of your infrastructure to modern platforms.

VMware Cloud on AWS occupies a specific position in enterprise infrastructure modernization: it's the transitional path for workloads that cannot immediately migrate off VMware. While the majority of VMware workloads can migrate to modern platforms like Nutanix AHV, some applications have deep VMware dependencies that require time to resolve. VMware Cloud on AWS ensures these workloads don't become blockers that hold back the entire modernization program.

The operational challenge is straightforward: VMware's core-based licensing model means you pay for the entire socket count, not per-VM. Migrating 80% of workloads to AHV while keeping 20% on ESXi doesn't reduce your VMware licensing by 80% — the remaining hosts still carry the full per-core subscription cost. VMware Cloud on AWS breaks this dependency by moving VMware workloads to AWS infrastructure where the licensing is consumption-based and included in the service cost.

Within the AIM (Arista, IVI, Modernization) infrastructure strategy, VMware Cloud on AWS serves as one component of a three-platform approach. Nutanix AHV handles the majority of workload migration on-premises, Pure Storage provides the unified storage layer, and VMware Cloud on AWS ensures VMware-dependent applications have a defined path forward. This prevents any workload from becoming stranded during the transition and eliminates the need to maintain on-premises VMware licensing for edge cases.

The key insight is that VMware Cloud on AWS is not a permanent destination — it's a cloud runway that buys time for systematic VMware dependency elimination. Applications running on VMware Cloud on AWS can begin consuming AWS-native services incrementally, building a path toward eventual re-platforming without requiring it upfront. This approach transforms infrastructure modernization from an all-or-nothing migration to a managed transition with multiple viable paths forward.

VMware Cloud on AWS runs the complete VMware stack — ESXi, vCenter, vSAN, NSX — on dedicated AWS hardware. The architecture provides full VMware compatibility while integrating natively with AWS networking, storage, and identity services. Your VMware workloads move to the cloud without conversion, maintaining the same disk formats, networking constructs, and management tools your team uses today.

The deployment architecture centers on Software-Defined Data Centers (SDDCs) that run in AWS availability zones. Each SDDC contains a minimum of three ESXi hosts and can scale to hundreds of hosts based on workload requirements. The underlying AWS infrastructure handles power, cooling, hardware lifecycle, and physical security — your team focuses on the VMware layer and above. Network connectivity between on-premises and VMware Cloud on AWS typically uses AWS Direct Connect for consistent performance and security, though VPN connections work for smaller deployments or proof-of-concept scenarios.

Integration with AWS services happens at multiple layers. VMware Cloud on AWS workloads can access S3 for object storage, RDS for managed databases, CloudWatch for monitoring, and IAM for identity management. This integration enables hybrid architectures where applications running on VMware infrastructure consume cloud-native services for specific functions — database backends, file storage, analytics — without requiring application refactoring. The result is a gradual cloud-native adoption path that doesn't force immediate architectural changes.

Storage architecture in VMware Cloud on AWS uses vSAN for primary storage with optional integration to AWS storage services. For organizations using Pure Storage on-premises, Pure Cloud Block Store can extend the same storage platform into AWS, providing consistent data services and replication capabilities across environments. This storage consistency simplifies data mobility and disaster recovery planning across the hybrid infrastructure.

The networking model preserves VMware NSX functionality while integrating with AWS VPC constructs. VMware Cloud on AWS environments connect to your AWS VPCs through Elastic Network Interfaces (ENIs), enabling workloads to communicate with EC2 instances, RDS databases, and other AWS services using native AWS networking. NSX provides microsegmentation and distributed firewall capabilities within the VMware environment, while AWS security groups and NACLs handle perimeter security and inter-service communication.

Successful VMware Cloud on AWS deployment begins with systematic workload classification. Not every VMware workload needs to move to VMware Cloud on AWS — the goal is identifying which applications have genuine VMware dependencies that justify the cloud VMware path versus those that can migrate directly to modern platforms. This classification determines the scope, timeline, and economics of the overall modernization program.

Applications with strong VMware Cloud on AWS fit include those with deep vSphere API integrations, NSX-dependent networking configurations, or VMware-specific backup and disaster recovery tooling. Legacy middleware platforms often fall into this category — applications that were built assuming VMware infrastructure and have integration points that would require significant refactoring to remove. These workloads typically represent 10-20% of the total VM count but can hold 100% of the VMware licensing hostage if not addressed systematically.

The classification process evaluates each application across multiple dimensions: VMware API dependencies, networking requirements, storage integration, backup and DR tooling, compliance constraints, and refactoring complexity. Applications with minimal VMware dependencies — general-purpose file servers, web applications, standard database workloads — are better candidates for direct migration to Nutanix AHV using tools like Nutanix Move. This approach maximizes the VMware licensing elimination while minimizing VMware Cloud on AWS consumption costs.

Timeline considerations play a critical role in classification decisions. If your VMware renewal is in 12 months, you likely don't have time to refactor complex applications to remove VMware dependencies — but you do have time to move them to VMware Cloud on AWS. Application refactoring to eliminate VMware dependencies is a development project with unpredictable timelines, while VMware Cloud on AWS migration is an infrastructure project with defined execution patterns and predictable outcomes.

The classification output becomes the foundation for migration wave planning. Wave 1 typically focuses on moving VMware-dependent applications to VMware Cloud on AWS to eliminate on-premises VMware licensing pressure. Wave 2 handles the bulk workload migration to AHV on-premises. Wave 3 addresses the remaining edge cases and begins the systematic evaluation of VMware Cloud on AWS workloads for eventual re-platforming or AHV migration as dependencies are resolved over time.

VMware Cloud on AWS migration execution follows established VMware-to-VMware patterns, leveraging tools like VMware HCX or vMotion over Direct Connect. The key advantage is that workloads move with their existing configuration, networking policies, and storage layouts intact — no disk format conversion, no IP address changes, no application downtime for the migration itself. This compatibility eliminates the testing and validation overhead associated with hypervisor changes or cloud-native re-platforming.

The migration pattern typically starts with establishing the VMware Cloud on AWS environment and network connectivity. Direct Connect provides the high-bandwidth, low-latency connection required for live migration tools like vMotion. For organizations without Direct Connect, VMware HCX can perform bulk migration over VPN connections, though with longer transfer times and some application downtime. The network design must account for both migration traffic and ongoing operational connectivity between on-premises and cloud environments.

Migration waves are planned based on application dependencies and business impact. Independent applications with minimal cross-dependencies migrate first, validating the process and building operational confidence. Applications with complex interdependencies require careful sequencing to maintain service availability during the transition. The migration tooling preserves VM relationships, network policies, and storage configurations, but application-level dependencies still require planning and validation.

Validation and testing procedures focus on application functionality rather than infrastructure compatibility. Since the VMware layer remains consistent, infrastructure-level testing is minimal — the focus shifts to network connectivity, performance characteristics, and integration with AWS services. Applications that consume on-premises services (databases, file shares, authentication) require validation of cross-environment connectivity and performance. Applications that will integrate with AWS services require testing of the new service integrations.

Rollback planning is simplified by the VMware compatibility. If issues arise post-migration, workloads can move back to on-premises VMware infrastructure using the same tools and processes used for the initial migration. This rollback capability reduces migration risk and enables aggressive migration timelines — you can move fast knowing that rollback is a viable option if problems emerge. The rollback window is typically limited by the retention period of on-premises snapshots and the availability of on-premises capacity.

The strategic value of VMware Cloud on AWS extends beyond VMware compatibility to include integration with AWS-native services. This integration enables hybrid architectures where VMware workloads consume cloud services incrementally, building a path toward cloud-native adoption without requiring immediate application refactoring. The integration patterns range from simple storage and backup use cases to complex data analytics and machine learning workflows.

Storage integration represents the most common starting point. VMware Cloud on AWS workloads can use S3 for backup targets, archive storage, and content distribution. Applications can write backup data directly to S3, eliminating the need for on-premises backup infrastructure and providing unlimited scale for retention requirements. For organizations using Pure Storage on-premises, Pure Cloud Block Store extends the same storage platform into AWS, enabling consistent data services and replication across environments.

Database integration patterns enable VMware applications to consume managed database services without application changes. Applications running on VMware Cloud on AWS can connect to RDS instances for relational databases, DynamoDB for NoSQL workloads, or ElastiCache for caching layers. This approach offloads database management overhead while maintaining application compatibility. The database connections use standard network protocols, so existing application code requires minimal changes to consume the managed services.

Identity and access management integration simplifies user authentication and authorization across hybrid environments. VMware Cloud on AWS can integrate with AWS IAM for service-to-service authentication and with AWS Directory Service for user authentication. This integration enables single sign-on workflows where users authenticate once and access both on-premises and cloud resources. The identity integration also supports automated provisioning and de-provisioning workflows managed through AWS IAM policies.

Monitoring and observability integration provides unified visibility across hybrid infrastructure. VMware Cloud on AWS workloads can send metrics, logs, and traces to CloudWatch, enabling centralized monitoring alongside other AWS services. For organizations using IVI's observability solutions, the monitoring architecture extends to cover VMware Cloud on AWS workloads with the same operational model used for on-premises infrastructure. This unified observability prevents operational silos and enables consistent incident response across environments.

Advanced integration patterns include data analytics and machine learning workflows where VMware applications generate data that feeds into AWS analytics services. Applications can write data to S3, which then feeds into services like Athena for ad-hoc queries, Redshift for data warehousing, or SageMaker for machine learning model training. These patterns enable cloud-native data processing without requiring changes to the data-generating applications running on VMware infrastructure.

VMware Cloud on AWS operations require a hybrid management approach that spans on-premises and cloud environments while maintaining operational consistency. The challenge is avoiding operational silos where VMware Cloud on AWS becomes a separate management domain with different tools, processes, and expertise requirements. Successful operations integrate VMware Cloud on AWS into existing operational workflows while leveraging cloud-native capabilities for enhanced automation and visibility.

The management model centers on extending existing VMware operational practices to the cloud environment. vCenter Server provides the same management interface your team uses today, with the same VM lifecycle operations, resource management, and configuration procedures. The difference is that the underlying infrastructure — host provisioning, hardware lifecycle, capacity planning — becomes AWS's responsibility. Your team focuses on the guest OS layer and above, with AWS handling the infrastructure layer concerns.

Aegis co-managed operations extends to VMware Cloud on AWS workloads with the same operational model used for on-premises infrastructure. Performance monitoring, incident response, configuration management, and lifecycle operations span both environments through unified tooling and processes. This approach prevents the operational fragmentation that often occurs when cloud workloads are managed separately from on-premises infrastructure.

Automation and orchestration become critical at scale. VMware Cloud on AWS supports the same automation tools used on-premises — vRealize Automation, Ansible, Terraform — while adding integration with AWS automation services. Infrastructure as Code practices can provision and configure both VMware Cloud on AWS resources and supporting AWS services through unified templates. This automation capability enables consistent deployment patterns and reduces the operational overhead of managing hybrid environments.

Capacity management in VMware Cloud on AWS shifts from hardware procurement to service consumption optimization. The ability to add or remove hosts based on demand enables more responsive capacity management, but requires different planning processes. Seasonal capacity requirements, project-based workloads, and gradual migration of additional VMs from on-premises can be handled through elastic scaling without the capital expenditure and lead times of physical hardware procurement.

Security operations must span both VMware and AWS security models. VMware Cloud on AWS workloads are subject to both NSX-based microsegmentation within the VMware environment and AWS security groups for perimeter security. Security monitoring and incident response procedures must account for both security layers and their integration points. The security model also includes AWS-native security services like GuardDuty for threat detection and CloudTrail for audit logging, providing enhanced security visibility compared to on-premises VMware deployments.

The economics of VMware Cloud on AWS must be evaluated within the context of broader infrastructure modernization, not as a standalone cost comparison. The service eliminates on-premises VMware licensing costs, hardware capital expenditure, and operational overhead, but introduces consumption-based pricing that scales with usage. The economic analysis requires understanding both the immediate cost impact and the long-term strategic value of maintaining VMware compatibility during the transition period.

VMware Cloud on AWS pricing includes VMware licensing in the consumption model — you stop paying Broadcom directly for workloads running on VMware Cloud on AWS. The economics are typically favorable compared to on-premises renewal costs when you factor in eliminated hardware refresh cycles, power and cooling costs, and operational overhead. However, the pricing is higher than native AWS compute services, making it important to use VMware Cloud on AWS selectively for workloads that genuinely require VMware compatibility.

The cost optimization strategy focuses on right-sizing the VMware Cloud on AWS deployment and systematically reducing the workload count over time. Initial deployments should be sized for the identified VMware-dependent workloads, not the entire VMware estate. As applications are refactored to remove VMware dependencies or migrated to AHV on-premises, the VMware Cloud on AWS footprint can be reduced accordingly. This approach treats VMware Cloud on AWS as a transitional cost that decreases over time rather than a permanent operational expense.

Planning considerations include contract terms, scaling patterns, and integration costs. VMware Cloud on AWS offers both on-demand and reserved pricing models, with reserved instances providing significant cost savings for predictable workloads. The scaling model enables starting with a minimal deployment and expanding based on migration progress and workload requirements. Integration costs — Direct Connect, data transfer, AWS service consumption — should be factored into the total cost model alongside the core VMware Cloud on AWS charges.

The long-term strategy positions VMware Cloud on AWS as a bridge technology rather than an end state. While some organizations may choose to keep specific workloads on VMware Cloud on AWS permanently, the goal within the AIM modernization framework is systematic VMware dependency elimination. Applications running on VMware Cloud on AWS should be continuously evaluated for re-platforming opportunities, AHV migration potential, or cloud-native refactoring as business requirements and technical constraints evolve.

Success metrics for VMware Cloud on AWS deployment include on-premises VMware licensing elimination, migration timeline acceleration, and application modernization enablement. The service should enable faster overall infrastructure modernization by removing VMware dependency blockers, not become a permanent substitute for modernization. Organizations that treat VMware Cloud on AWS as a transitional tool typically achieve better long-term outcomes than those that view it as a permanent VMware cloud strategy.