Automotive Cloud Solutions: Migrating a Dealer Management System to AWS
Dealer management systems (DMS) sit at the center of automotive retail operations. They connect sales, financing, service, parts, inventory, customer records, and reporting across a network of dealerships and outside partners.
That makes a dealer management system cloud migration different from moving a standalone application. The technical work matters, but so do the business processes around it. A delayed integration, unavailable dealership connection, or poorly timed cutover can affect customers, sales teams, service advisors, and finance operations at the same time.
For DMS providers and automotive software companies, AWS can provide a more flexible foundation for growth, security, and product delivery. The path there starts with understanding the platform, its dealer connections, and the operational windows the business can support.
What automotive cloud solutions mean for DMS providers
For a DMS provider, cloud migration is rarely just a hosting decision. The platform may support dealership workflows across sales, CRM, finance, service, parts, inventory, and customer delivery. It may also exchange data with OEMs, lenders, payment systems, identity providers, analytics tools, and third-party automotive applications.
A useful AWS strategy accounts for four things at once:
- The applications and databases that run the DMS
- The network connections that link dealers and partners to the platform
- The customer and financial data that requires protection
- The release process that keeps the product improving after migration
The goal is not to force every workload into the same migration pattern. Some systems may move quickly to Amazon EC2. Others may benefit from managed databases, containerization, or application changes once the immediate data-center or hardware deadline has passed.
For dealer groups, the situation is somewhat different. They may not own the DMS platform itself, but they still need secure access, reliable integrations, customer-data controls, and cloud infrastructure for the systems surrounding it.
Why dealer data raises the stakes
DMS platforms can hold customer contact information, financing details, service history, trade-in information, and other sensitive records. That makes security design part of the migration plan, not a post-migration cleanup task.
Most automobile dealers that finance, arrange financing, or lease vehicles are financial institutions under the FTC Safeguards Rule. The rule requires them to maintain a written information security program designed to protect covered customer information. It also calls for measures such as access controls, encryption, multifactor authentication, logging and monitoring, service-provider oversight, and an incident response plan.
That has implications for the DMS providers and technology vendors that process or access this data. A cloud migration should clarify:
- Which systems store, transmit, or access covered customer information
- How access is granted, reviewed, and removed
- Where encryption, logging, and monitoring apply
- How vendors and third-party integrations are governed
- How the team will respond if a security incident affects customer information
The FTC requires notification within 30 days for certain security events involving the unauthorized acquisition of at least 500 consumers’ unencrypted information. That makes visibility, recovery planning, and clear operational ownership important long before a migration cutover.
Automotive cyber risk is increasingly tied to connected systems
Upstream documented 494 publicly reported automotive and smart-mobility cybersecurity incidents in 2025. Ransom-related incidents more than doubled from 2024 and represented 44% of reported incidents. The report also found that 67% involved telematics or cloud systems as an attack vector.
The point is not that every DMS migration presents the same risk. It is that connected automotive platforms need a security architecture that accounts for APIs, identities, network access, third-party connections, and operational recovery.
Recent Posts
What's Changing in Automotive Retail Technology
Car buying and ownership now run on software: dealer platforms, CRM, F&I, digital retail, service scheduling, and the integrations that connect them to lenders and OEMs. In 2026, the expectations on that software are rising fast.
Attacks Are Rising, and Downtime Is Expensive
Ransomware incidents in automotive and mobility more than doubled in 2025, reaching 44% of all reported incidents. Dealership-focused security firm Proton saw attack activity spike nearly 1,000% above normal in March 2026, with phishing now behind more than half of attacks. Platforms that stay online and recover quickly have become a competitive advantage.
Sources: Upstream 2026 Global Automotive Cybersecurity Report, Feb 2026; Proton Dealership IT telemetry via Canadian Auto Dealer, Sept 2026
Customer Data Rules Keep Expanding
Dealers that finance or lease vehicles must maintain a written information security program and oversee their technology vendors under the FTC Safeguards Rule. States are adding obligations too: Oregon's privacy law now covers automakers regardless of size, with universal opt-out in effect since January 2026. Every system that touches customer data is in scope.
Sources: FTC Safeguards Rule FAQs for auto dealers; Nelson Mullins, Feb 2026
Connected Data Is Becoming the Baseline
At NADA 2026, the largest retail software providers centered their launches on unified customer data and open integrations. Dealers want DMS, CRM, and digital retail tools to share data in real time, and 63% say AI tools need comprehensive industry data to be useful. Disconnected systems are now a visible weakness.
Sources: WebProNews, NADA 2026; CDK Global AI at the Dealership study, Jan 2026
AI Is Everywhere. Results Are Not, Yet.
82% of dealers now use AI, and 63% of car shoppers plan to use AI on their next purchase. But only 22% of dealers using AI report sales growth from it so far, and about a third aren't measuring impact at all. The gap is less about tools and more about data, integration, and governance.
Source: Cox Automotive AI in Auto Retail Tracker, Aug 2026 (~500 dealers, ~1,500 shoppers per quarter)
Moving a DMS platform with cutovers planned around dealer operations
A DMS migration succeeds when dealerships can continue operating through the transition. That requires more than a server inventory. The migration plan needs to map the platform’s users, connections, data flows, dependencies, and business-critical dates.
Dealer and partner connectivity
DMS platforms often support dozens or hundreds of connections to dealership locations. Those connections may carry application traffic, data exchange, authentication, printing, reporting, and operational workflows.
Stratus10 saw that firsthand with Advent Resources, a dealer management software provider that needed to close its data center while supporting dealership connectivity across the country. The project included migrating virtual machines, modernizing the network, and moving more than 140 site-to-site VPN connections to AWS Transit Gateway and AWS Managed VPN. That gave the company a more scalable way to aggregate dealer connectivity and manage routing as the platform evolved.
The lesson is not that every platform needs the same network design. It is that connectivity needs to be discovered and tested early enough to prevent a late-stage cutover surprise.
OEM, lender, and supplier integrations
A DMS platform may depend on interfaces with OEM programs, lender systems, parts suppliers, payment platforms, customer communications tools, and other automotive applications.
Before migration, teams should identify:
- The integration owner and support contact
- Authentication and certificate requirements
- Data formats and transfer schedules
- Latency or availability expectations
- Failure behavior and recovery steps
- Test environments and validation windows
These are often the dependencies that turn an apparently simple infrastructure migration into a business-process project.
Planning around month-end and peak operating periods
Dealer operations have periods when disruption carries more risk. Month-end close, promotion periods, inventory events, and major product or pricing changes should shape migration-wave planning.
A phased approach usually gives the team more control. Start with lower-risk environments or supporting workloads, validate the network and monitoring model, then move business-critical systems during agreed maintenance windows. The goal is a tested transition plan with rollback criteria, not a single high-stakes cutover.
For additional guidance, see common cloud migration mistakes to avoid.
Choose the migration path workload by workload
A data-center exit can create pressure to move everything at once. That may be appropriate for some workloads, but it is not the only option.
A practical DMS migration strategy usually includes a mix of paths:
Rehost critical workloads
Virtual machines and supporting infrastructure can often move to AWS with minimal application changes. This can help meet a data-center deadline while preserving time for careful modernization afterward.
Replatform selected databases and services
A self-managed database may be a strong candidate for Amazon RDS or Amazon Aurora. Moving to a managed database can reduce maintenance work and improve backup, recovery, and availability options without requiring a full application rewrite.
Modernize targeted application components
Some parts of a DMS platform may benefit from containers, APIs, event-driven integration, or independently deployable services. This work should be prioritized where it improves release speed, scalability, operational reliability, or customer experience.
The right choice depends on the application’s business role, dependencies, licensing, data requirements, and tolerance for change. Stratus10’s cloud migration services help teams assess those decisions before execution begins.
Build and deployment automation once you are on AWS
Migration creates a useful opportunity to improve how the platform is built, tested, patched, and deployed.
At Advent Resources, Stratus10 built an automated AMI pipeline that created and tested custom images after approved code changes. The work helped replace manual build steps with a more repeatable process for infrastructure and future customer deployments.
For DMS providers, DevOps automation can support:
- Repeatable environment builds
- Version-controlled infrastructure changes
- Standardized operating-system images and patching
- Automated application testing and deployment
- Clearer promotion paths across development, test, and production
- Faster recovery when an environment needs to be rebuilt
This is where cloud migration begins to create a longer-term product and operations advantage. Learn more about DevOps automation.
What a data-center exit assessment produces
A useful migration assessment gives technical and business leaders enough information to make decisions before committing to a migration sequence.
For a DMS provider, that typically includes:
- A current-state inventory of applications, databases, virtual machines, storage, and network connections
- Dependency mapping across dealership locations, partners, and internal systems
- A migration approach for each workload
- Directional AWS cost modeling and licensing considerations
- Security, resilience, and operational-readiness requirements
- Migration waves and cutover requirements
- A prioritized roadmap for the work before, during, and after migration
For eligible projects, the AWS Migration Acceleration Program provides an assess, mobilize, and migrate & modernize framework, along with tools, partner expertise, and financial investments.
Stratus10’s AWS migration assessment connects the technical findings to a practical business case and roadmap. For a data-center exit specifically, it is also worth reviewing how a hybrid cloud strategy can help control transition costs.
Frequently asked questions about automotive cloud solutions
Automotive cloud solutions are cloud-based infrastructure, applications, data platforms, security controls, and operational tools that support automotive businesses. They can include DMS platforms, connected dealer systems, inventory and service applications, customer-data platforms, analytics environments, and AI-enabled workflows.
Often, yes. Many teams begin by moving virtual machines, databases, and supporting infrastructure to AWS with limited application change. Specific components can then be modernized over time where the return justifies the effort.
The most important work is understanding the dependencies beyond the servers: dealership connections, third-party integrations, customer-data flows, business-critical operating periods, and the processes required to validate a cutover.
AWS can provide scalable infrastructure, managed database options, flexible networking, security controls, and automation capabilities. The specific architecture should follow the DMS platform’s workload requirements, dealer footprint, integration model, and product roadmap.
Start with identity and access controls, encryption, network segmentation, logging, monitoring, backup and recovery, and documented incident response. Teams also need clear ownership for the cloud environment and the third-party systems that access customer information.
Plan Your DMS Migration with the Right Dependency Map
A dealer management system migration starts with the systems, connections, and business processes that dealerships rely on every day. Tell us what is changing in your environment, and Stratus10 will help outline a practical path to AWS.