AWS for Manufacturing: Cloud Migration and Modernization

For manufacturers, the hardest part of moving to AWS is deciding which systems can move without increasing operational risk, which need to remain close to production, and how to complete the migration within limited maintenance windows.

The decision often arrives with a deadline, whether that’s hardware reaching end of life, a data center agreement coming up for renewal, a facility closing,a recovery incident exposing how much of the business depends on aging infrastructure. 

What begins as an infrastructure problem quickly becomes a workload-by-workload discussion involving ERP, Windows and SQL Server, plant and warehouse systems, historical data, licensing, network connectivity, and more.

A successful AWS cloud migration gives each of those workloads an appropriate destination and sequence. 
 

Key takeaways
 

• Manufacturing migrations are often driven by a hardware refresh, data center deadline, or operational risk that puts a timeline on the decision.
• ERP, Windows and SQL Server workloads, business applications, and historical data are common AWS candidates, but their dependencies determine how and when they move.
• Real-time and safety-critical control generally remains local. MES, supervisory systems, reporting, and industrial data may use cloud, edge, or hybrid architectures.
• Production-critical workloads require phased cutovers, business-process validation, and a tested rollback plan.
• An assessment turns a broad cloud mandate into a plan for workload placement, sequencing, licensing, cost, and modernization.
   

Where AWS fits in a manufacturing environment

AWS for manufacturing can include enterprise applications, industrial data, analytics, AI, connected products, and smart manufacturing. For a company starting with data center migration, the immediate question is narrower: which parts of the existing environment belong on AWS?

Enterprise applications, Windows servers, databases, reporting platforms, backups, and historical records are frequent candidates. Systems requiring deterministic response or continued operation during a network outage often remain local. In between are MES, warehouse applications, historians, and the services connecting plants with enterprise platforms.

This foundation can later support Industry 4.0 initiatives connecting operational data with analytics, automation, and AI. Deloitte's 2026 Manufacturing Industry Outlook found that 80% of 600 manufacturing executives surveyed in 2025 planned to direct at least 20% of their improvement budgets to smart manufacturing over the next three years, with cloud computing among the foundational investments.
 

Why the data center usually forces the decision

Manufacturers seldom need another abstract argument for cloud adoption. A concrete infrastructure or facility event usually creates the urgency.
 

Hardware and software reach end of life

When servers, storage, and operating systems approach end of life together, the business faces a choice: make another capital investment in the current model or use the refresh as an opportunity to migrate.

Prime Time International reached that point when its co-location agreement was approaching renewal while most of its hardware, software, and Windows Server 2008 environment required replacement. Stratus10 assessed the environment, developed a right-sized AWS cost projection, and recommended rehosting first with modernization to follow. The resulting Prime Time data center migration reduced the balance-sheet impact of the required IT refresh by more than $100,000.
 

A data center contract ends or a site closes

A data center closing date changes the planning conversation. Workloads need to be inventoried, grouped, tested, and moved in time to exit the facility, often while dependent applications and customer services continue operating.

Advent Resources was already partway through its AWS migration when a data center closing deadline created pressure to finish. The project ultimately migrated 45 VMs and more than 140 site-to-site VPN connections, while also replacing manual infrastructure processes with an automated AMI pipeline.
 

Recovery risk becomes unacceptable

An outage, failed restore, or close call can expose the cost of remaining on aging infrastructure. The comparison needs to include recovery time, confidence in existing backups, and the business impact of an extended interruption.

AWS provides services for backup, replication, monitoring, and resilient architecture, but those capabilities still need to be designed and tested. Moving a server does not by itself improve recovery.
 

What moves to AWS, what waits, and what stays near production

Treating a manufacturing migration as all-or-nothing creates unnecessary risk. The target is often a deliberate hybrid environment in which AWS, edge infrastructure, and plant-floor systems perform different jobs.
 

The Windows and SQL Server estate

Older Windows applications, reporting servers, Active Directory dependencies, SQL Server databases, and file-based processes can be strong migration candidates, particularly when the operating system or hardware is no longer supportable.

In an analogous industrial migration, Stratus10 moved BMT Scientific Marine's Windows Server 2008 R2 workloads to Windows Server 2019 on EC2 and used AWS Snowball to transfer more than 75 TB. The BMT Windows and large-dataset migration illustrates why applications and data sometimes require separate plans.

SQL Server can be rehosted on EC2, moved to a managed database option, or modernized to another database engine depending on compatibility, licensing, and business priorities. Our guide to migrating SQL Server to AWS examines those paths in more detail.
 

ERP and the systems connected to it

ERP may be a good AWS candidate, but its connections to MES, warehouse systems, EDI, identity, reporting, scanners, suppliers, and customer applications determine the real scope. Teams need to understand where those integrations run, how they respond to latency or a connectivity interruption, and whether the vendor supports the proposed architecture.
 

Plant-floor and warehouse systems

PLCs, machine controllers, safety systems, and other workloads requiring deterministic response generally remain local. Sending a real-time control loop to a distant cloud Region can introduce an avoidable operational dependency.

MES, warehouse applications, SCADA supervisory components, historians, reporting, and integration services may run locally, at the edge, on AWS, or across a hybrid architecture. AWS publishes specific guidance for modernizing manufacturing execution systems in the AWS Cloud.

The governing question is what happens to production if connectivity is unavailable. Systems that must keep the plant running safely need an architecture that preserves the necessary local capability.
 

Historical production data and archives

Production histories, quality records, engineering files, compliance evidence, and raw machine data may occupy aging storage long after regular use ends. The migration plan needs to account for volume, bandwidth, transfer time, integrity, retention, and retrieval frequency. Applications and historical archives may require different methods and schedules.
 

Migrating manufacturing workloads without stopping production

The migration sequence needs to follow the production calendar. A server inventory alone will not reveal that a database supports label printing, a file share feeds a quality process, or a scheduled integration is required before shipments leave a warehouse.

Production-critical migrations are usually divided into waves. Teams can test the target, confirm plant connectivity, and validate workflows while replication continues. Each cutover needs clear go/no-go criteria, business validators, and a rollback plan that accounts for data created during the transition.

Prime Time's nearly 24/7 operations ruled out one large cutover. Its phased migration was completed in just over one month with minimal operational impact.

The broader migration method, including the common migration paths and planning pitfalls, is covered in Cloud Migration and Modernization: A Strategy Playbook for Executives. Our article on common cloud migration mistakes provides additional guidance on timelines, cost planning, testing, security, and stakeholder alignment.
 

What migration changes for Windows Server and SQL Server licensing

Microsoft licensing can materially change the target architecture and cost, especially when licenses were acquired under different agreements over many years.

For SQL Server, eligible licenses with active Software Assurance or qualifying subscriptions may use License Mobility on default-tenancy EC2. Customers can also use license-included SQL Server options or evaluate managed and modernized database paths.

Windows Server follows different rules. According to the AWS Microsoft FAQ, accessed September 10, 2026, Windows Server BYOL on EC2 requires Dedicated Hosts, eligible licenses purchased before October 1, 2019, and versions that were publicly available before that date. Additional agreement and license-source restrictions apply.

The least-expensive path depends on existing licenses, SQL Server edition, host utilization, availability design, and upgrade requirements. Licensing belongs in the assessment rather than being deferred until migration.
 

How to decide which manufacturing workload moves first

The first workload should create useful learning without placing a critical production process at unnecessary risk. A practical ranking considers:

• Production and business impact
• Latency and connectivity requirements
• Application and data dependencies
• Infrastructure or support risk
• Licensing constraints
• Migration complexity
• Modernization potential

An aging, self-contained application may be a better first candidate than a newer system with deep plant-floor dependencies. Each workload also needs an appropriate migration path, such as rehosting, replatforming, rearchitecting, retaining, replacing, or retiring it. The strategy playbook linked above explains those paths in more detail.
 

What a data center assessment produces

A structured AWS migration assessment should produce:

• An inventory of infrastructure, applications, utilization, and support status
• A map of technical dependencies and business criticality
• A recommendation for what moves, remains, modernizes, or retires
• A target AWS foundation covering connectivity, security, backup, and operations
• Migration waves aligned with production and facility deadlines
• A cost comparison including licensing, connectivity, temporary parallel operation, and management
• Identification of applicable AWS migration funding

The assessment may also show that a hybrid target offers the right balance of local control and cloud capability.
 

Manufacturing modernization after the migration

A data center deadline may not leave enough time to redesign every legacy application. Rehosting can resolve the immediate infrastructure problem, with modernization following after the environment is stable. A targeted change during migration can still make sense when it removes a major availability, licensing, or management constraint.

SEACOMP provides a manufacturing example. The electronics manufacturer moved MySQL from a single EC2 instance to Amazon RDS for MySQL, adding managed backup and recovery, monitoring, scalability, and high availability. The SEACOMP database modernization shows how a focused platform change can reduce operational burden without requiring a complete application rewrite.

Modernization can later extend to application architecture, infrastructure automation, industrial-data pipelines, and analytics. Our application modernization services help organizations evaluate those paths.

After cutover, someone must own monitoring, patching, backup validation, security, cost management, and incident response. That can be an internal, co-managed, or managed services model, but it needs to be decided before handoff.
 

Building the case for the board

The strongest business case separates avoided cost, reduced risk, and new capability. Avoided cost may include hardware refreshes, data center contracts, backup infrastructure, and support renewals. Reduced risk includes recovery time, unsupported technology, facility dependencies, and downtime. New capability includes faster provisioning, stronger recovery options, easier integration, and better access to data.

Flexera's 2026 State of the Cloud Report found that 73% of respondents used hybrid environments. Although this is a cross-industry benchmark, it reinforces that hybrid can be a long-term architectural choice.

The board needs a credible comparison of the current and proposed paths, including cost, risk, timing, operational impact, and future capability.
 

Related reading and migration examples
 

• New to cloud migration planning? Start with Cloud Migration 101: What Migration to the Cloud Involves for an overview of assessment, planning, migration, validation, and optimization.
• Considering a long-term hybrid environment? Read Controlling Data Center Costs with a Hybrid Cloud Strategy for options that combine AWS with retained on-premises infrastructure.
• Evaluating what comes after rehosting? Explore Application Modernization Pathways for database, container, serverless, and Windows modernization approaches.

• Planning a large archive migration? See how Ricardo developed an Amazon S3 archive strategy for data distributed across more than 20 global sites, including logging, overwrite protection, and storage lifecycle policies.

   

Start with a workload-level migration plan

If a hardware refresh, data center deadline, or aging application estate is forcing a decision, Stratus10 offers a free AWS migration assessment. The assessment identifies what should move, what should remain, how licensing affects the target architecture, and how to sequence the migration around production before you commit to a direction.