Cloud Migration Strategies: A Deep Dive into the 7 Rs Framework

Cloud migration is a top priority for enterprises seeking agility and cost efficiency in today’s IT landscape. Even as of 2025, many organizations are still in the process of moving core systems out of on-premises data centers and into cloud environments. In fact, about 45% of organizations have already shifted at least half of their applications to public clouds, and 35% plan to migrate at least half of the remaining apps within the next three years​ biztechmagazine.com. The motivations are clear — surveys cite improved reliability and disaster recovery (noted by 57% of companies) and better security (48%) as key drivers for cloud adoption​biztechmagazine.com. Cloud platforms also promise greater scalability, accessibility for distributed users, and overall business agility. However, executing a cloud migration is easier said than done — there is a big difference between deciding to migrate and actually doing it. Some applications can be moved with relative ease, while others are notoriously difficult to replatform or modernize​ techtarget.com. Without a clear strategy, migrations can stall or fail to deliver expected benefits.

To address this challenge, IT leaders rely on the “7 Rs” framework for cloud migration planning. Originally derived from a 5-R model by Gartner (circa 2010) and later expanded by major cloud providers, this framework categorizes migration options into seven broad strategies​

techtarget.com. The 7 Rs — Rehost, Replatform, Refactor, Repurchase, Retire, Retain, and Relocate — provide a cloud-agnostic roadmap for determining the best approach for each workload​ bluexp.netapp.com. In essence, for every application in your portfolio, you choose one of these paths: move it as-is, make some modifications, rebuild it, replace it with something new, turn it off, keep it where it is, or shift it to a different hosting model. This rationalization process is a cornerstone of migration planning and is supported by various cloud adoption frameworks and tools across the industry. It ensures that CTOs and architects can align technical decisions with business goals, balancing quick wins against long-term modernization.

Figure: Visual overview of the 7 Rs of Cloud Migration. Each “R” denotes a distinct migration strategy — from Rehost (Lift & Shift) an application without changes, to Refactor by redesigning its architecture, to deciding to Retain it on-premises or Retire it entirely. This framework helps organizations evaluate the fate of each system during cloud adoption planning.

In the sections below, we delve into each of the 7 Rs in detail. For each strategy, we will discuss what it entails, its methodologies and best practices, the challenges or trade-offs involved, and common use cases (with examples across industries). We will also highlight how these strategies tie into migration planning frameworks and tooling in a cloud-neutral way. By understanding the 7 Rs, technology leaders can craft a comprehensive migration strategy optimized for both immediate needs and future growth.

Rehost (Lift and Shift)

Rehosting is often referred to as the “lift-and-shift” approach. In a rehost scenario, you take an application running on-premises and move it as-is to the cloud, without significant changes to its architecture or code​ techtarget.com ​ tierpoint.com. Typically this involves creating equivalent virtual machines or instances in the cloud and copying over the application stack in its entirety. For example, you might clone a physical or VMware server into a cloud VM image, or restore backups of a system onto cloud infrastructure. All configurations, operating system settings, and application code remain the same after a rehost migration.

This strategy’s biggest appeal is speed and simplicity. It requires minimal development effort since no refactoring is needed — you’re essentially redeploying the system on a new platform. Organizations new to cloud computing often start with rehosting to quickly migrate large numbers of servers in a short time frame​ txture.io. Many automation tools (sometimes called workload mobility or migration tools) are available to facilitate lift-and-shift migrations, reducing manual work. These tools can replicate VM images or even perform live server migrations with minimal downtime. Rehosting is especially useful when you have to exit a data center under a tight deadline — for instance, if a lease is ending or during a divestiture, where speed is the top priority​ txture.io. By rehosting, you can rapidly evacuate on-premises hardware and later decommission it.

However, rehosting comes with important trade-offs and challenges. The fact that you made no fundamental changes means the application will carry over any inefficiencies or technical debt it had on-premises. As cloud advisors often caution, simply lifting-and-shifting can “entrench” old design inefficiencies and lead to higher cloud costs if not addressed​ wavestone.com ​ wavestone.com. An app that wasn’t designed for cloud may not automatically take advantage of cloud elasticity, managed services, or other optimizations. In practice, many companies that migrated a large portfolio via pure lift-and-shift later found they weren’t getting the cost savings or performance improvements they expected in the cloud​ wavestone.com. It’s common to require tuning after the fact — for example, rightsizing VMs, optimizing storage tiers, or adjusting configurations to better suit the cloud environment. Another challenge is that not all workloads behave exactly the same in the cloud as on-premises​ tierpoint.com. You may encounter differences in network latency, storage I/O, or other aspects that necessitate post-migration tweaks (e.g. updating DNS entries, adjusting timeouts, etc.​ techtarget.com ).

Best practices for rehosting include thorough testing after migration and planning for an optimization phase. Many organizations adopt a strategy of “move fast, then improve”: they rehost to meet immediate migration goals, but then retrofit improvements once the systems are running in the cloud (sometimes called “lift-and-improve”​ biztechmagazine.com ). It’s advisable to monitor performance and costs closely and be prepared to refactor or re-platform these workloads in the future to achieve better cloud-native efficiency. Despite its drawbacks, Rehost remains a foundational method — especially for legacy systems that are too critical to refactor quickly or where source code might not be readily available to modify. In summary, Rehost buys you speed and mitigates upfront risk, at the expense of potential higher cloud operating costs and missed cloud-native benefits. It’s best suited for:

· Rapid migrations with time constraints — e.g. a data center closure or merger requires quick relocation of many servers​ txture.io.

• Legacy systems with minimal ongoing development — you simply need them running in the cloud as they are, without investing in code changes.

· Initial phase of a larger modernization plan — lift-and-shift now, with the intention to optimize or re-architect later once in the cloud​ docs.aws.amazon.com.

Replatform (Lift and Reshape)

Replatforming is sometimes called “lift-and-reshape” or “lift-tinker-and-shift.” It involves moving an application to the cloud with some modifications or optimizations, but without changing its core architecture or functionality dramatically​ tierpoint.com ​ techtarget.com. In other words, you migrate the workload to cloud infrastructure and make targeted improvements to better leverage cloud services. The application still runs mostly as it did before, but you might swap out certain components or configurations to gain efficiency.

Common replatforming actions include things like: upgrading the application’s runtime or operating system to a cloud-friendly version, containerizing an app and running it on a cloud-managed Kubernetes service, or moving the database from a self-hosted instance to a cloud-managed database service. For example, you might take a web application running on an old Windows Server and migrate it to a cloud VM while simultaneously upgrading it to a newer OS and offloading its SQL database to a managed SQL service. The application’s code doesn’t fundamentally change, but it now benefits from a cloud-managed database, which can improve scalability and reduce administrative overhead. Another example would be migrating an application to run in containers on AWS ECS, Azure Kubernetes Service, or Google Kubernetes Engine, instead of on a fixed set of VMs — the app logic stays the same, but the hosting platform is modernized.

The methodology here is to make “measured, impactful modifications” that take advantage of cloud features without a full overhaul​ tierpoint.com. This could involve relatively minor code changes or just reconfiguring how the application runs. It often requires access to the source code or installation scripts, but not an extensive development project. Best practices for replatforming include identifying quick wins that provide outsized benefits — for instance, using auto-scaling groups, managed caching services, or cloud storage in place of local filesystems. The goal is to improve performance, scalability, or manageability with minimal effort. It’s essentially a middle ground between rehosting and refactoring.

Replatforming strikes a balance by addressing some of the inefficiencies of a straight rehost while avoiding the time and cost of a full refactor. Use cases where replatform is attractive include applications that could gain efficiency from cloud optimizations with a small amount of work. For instance, an e-commerce company might replatform their application by moving the front-end servers to cloud VMs and switching the session state storage to a cloud caching service, enabling better scalability during traffic spikes. Another scenario is an organization migrating a batch processing app to the cloud and adjusting it to use cloud object storage (like an S3 bucket or Blob storage) instead of a local NAS, to simplify storage management.

Challenges of replatforming are typically moderate — you must ensure that the changes don’t break the application. There is a risk that even minor tweaks (like changing the database engine or OS) can introduce compatibility issues or bugs. Thus, thorough testing is needed to verify the app still works correctly after the move. Additionally, replatforming might require new skills or understanding of cloud services (for example, developers need to learn the cloud database’s nuances). Still, compared to a complete rewrite, the effort is much lower. Replatforming is a popular approach when the target application is important but not easily refactorable within the project timeline, allowing teams to realize some cloud benefits quickly. It is often recommended for large-scale migrations as a way to modernize in-flight: many apps can be replatformed during migration waves, reserving full refactoring only for a later phase or for select high-value systems​ docs.aws.amazon.com.

In summary, Replatform means “some assembly required.” You preserve the app’s core but tinker with the environment around it. This yields improvements in scalability, reliability, or cost (through managed services and updated platforms) without the heavy lifting of a redesign. It’s a pragmatic choice when you have the ability to make minor changes and the app stands to benefit significantly from even small cloud-centric tweaks.

Refactor / Rearchitect

Refactoring (also known as rearchitecting) is the most involved and transformative cloud migration strategy. When you refactor an application, you redesign and rewrite significant portions of it to fully exploit cloud-native architectures and services​ techtarget.com ​ tierpoint.com. This often means breaking a monolithic application into a modular design or microservices, optimizing the code for elasticity, and using cloud-native technologies (like serverless functions, managed databases, event streaming, etc.) in the new design. The end result is an application that may look and operate very differently from its on-premises predecessor, even though it provides the same business functionality.

Refactoring is essentially application modernization combined with migration. For example, consider a legacy internal CRM application built 15 years ago for on-premises servers. A refactor might involve redesigning it as a set of microservices running in containers, with a responsive web front-end, using cloud-managed APIs and database services. Perhaps the authentication module is rewritten to use a cloud identity service, and reporting functions are moved to a serverless model that can scale on demand. This kind of refactoring typically requires a team of developers and architects and a multi-month (or multi-year) project to substantially alter the code. Another example: a financial services firm might decide to refactor a batch-oriented analytics application into a stream-processing cloud application using managed Spark or Kafka services — a significant reengineering effort but yielding a far more scalable solution.

The primary motivation for refactoring is to future-proof the application and unlock the full benefits of cloud computing. By doing the hard work of rearchitecting, companies can achieve dramatic improvements in scalability, resilience, deployment velocity, and cost efficiency (especially if they can leverage cloud-native services that scale down to zero when not in use). Refactored applications can be designed for cloud elasticity (automatically scaling out/in), high availability across regions, and easier maintenance through modularity. This approach aligns well with modern DevOps and agile practices — once refactored, the app is often easier to update and extend.

However, refactoring is arguably the most difficult and resource-intensive of the 7 Rs​ techtarget.com. It demands not only significant engineering effort but also careful planning to avoid disrupting the business. The complexity of refactoring means higher risk — you are effectively rebuilding critical systems, which can introduce new bugs or require users to adapt to changes. Due to this complexity, refactor is usually not recommended for bulk migrations of a large application portfolio all at once​

**docs.aws.amazon.com**. Instead, enterprises often select a subset of applications that justify refactoring (for example, customer-facing or revenue-generating systems where cloud-native capabilities will drive competitive advantage) and tackle those either in parallel or after simpler migrations. Less critical or lower ROI applications might be migrated via rehost/replatform first, and then revisited for refactoring later if needed.

Best practices for refactoring include establishing clear business justification and ROI for the effort — e.g. will this refactor enable new features, handle more load, reduce operational costs significantly? It’s important to have stakeholder buy-in since timelines can be long. Adopting modern architectural patterns is key: utilizing microservices, APIs, serverless functions, and container orchestration where appropriate. Many organizations use a strangler-fig approach (incrementally refactoring parts of the application) to reduce risk: for instance, carving out one feature at a time into a microservice while the rest remains legacy until it can be phased out. Automated testing and CI/CD pipelines are essential to manage refactored codebases. It’s also wise to leverage managed cloud services to offload undifferentiated work — e.g. using a cloud database, authentication service, or message queue rather than building your own.

Use cases for refactor typically involve strategic, long-term applications. For example, a global retail company might refactor their core e-commerce platform to a cloud-native microservices architecture to achieve continuous uptime and rapid feature deployment. An insurance company might rearchitect a claims processing system to run serverlessly, cutting down processing time from hours to seconds. Industries dealing with high volumes, such as media streaming or social networks, often must refactor to handle scale in the cloud. On the other hand, if an application is outdated and not delivering enough value, one might consider replacing it (repurchase) or retiring it rather than investing in refactoring.

In short, Refactor is the “high-investment, high-reward” option. It maximizes cloud benefits by rebuilding the application for the cloud paradigm, but requires strong technical skills, ample time, and robust project management. Organizations should choose this path for applications where the long-term payoff in agility, innovation, and performance outweighs the upfront cost and risk. As a result, refactoring is often part of a larger digital transformation initiative rather than a quick migration fix.

Repurchase (Drop and Shop)

Repurchase (sometimes dubbed “drop and shop”) means abandoning your existing application in favor of a commercial cloud-based product that offers similar functionality​ tierpoint.com. In essence, you replace, rather than migrate, a system. The most common form of repurchasing is moving from a traditional on-premises software system to a Software as a Service (SaaS) solution. For example, a company might replace its on-prem CRM software with a cloud-based CRM like Salesforce or Dynamics 365, rather than porting the old system over​ emergentsoftware.net. By doing so, they avoid the effort of migrating servers and instead adopt a ready-made platform that the vendor provides in the cloud.

Repurchasing isn’t limited to SaaS; it could also involve switching to a new commercial off-the-shelf (COTS) application deployed in the cloud, or even shifting to a different licensing model (e.g. moving from a self-managed database to a cloud-managed database by the same vendor, which some might classify under replatform or repurchase depending on context). The key idea is you are acquiring a new solution to replace the old. This might also be referred to as Replace in some frameworks (earlier Gartner models used “Replace” or “Replace with SaaS” in a similar sense).

The advantages of repurchasing are clear: you can leap straight to a modern solution without having to renovate your legacy application. It often offers the fastest route to new capabilities, because you’re leveraging software that already exists and is maintained by someone else. For instance, instead of refactoring a homegrown HR management system to work in the cloud, an organization could subscribe to a cloud-based HR SaaS (like Workday). The SaaS comes with continual updates, scalability, and built-in compliance, which would be expensive to develop in-house. Repurchasing also means the burden of infrastructure and platform management is largely handed off to the provider. As one example, migrating a legacy email system to Office 365 Exchange Online is effectively a repurchase (using the provider’s service) — it relieves the company from managing email servers, and users get a feature-rich, cloud-accessible email platform with minimal migration of actual server data (mostly just copying mailboxes).

However, there are challenges with the repurchase strategy as well. You may have to sacrifice custom features or the exact way your legacy system worked. The new SaaS or product might not be a one-to-one match for your tailored processes, so there is a need to adapt business processes to the software (or pay for customizations if possible). Data migration becomes a critical step — you must transfer data from the old system into the new cloud application, which can be non-trivial (especially if data models differ). There’s also the consideration of vendor lock-in and recurring subscription costs; you are now tied to the roadmap and reliability of the software vendor. Additionally, switching to a new system often entails retraining staff and possibly temporary productivity dips as users adjust.

Typical use cases for repurchasing are systems that are not core differentiators for the business, but rather common functions where a standard solution will do. A classic example is moving from a custom CRM to a mainstream cloud CRM​ emergentsoftware.net. Another is replacing an outdated ERP system with a modern cloud-based ERP provided by an industry leader. Even at the infrastructure level, one could consider moving from a self-managed data warehouse to a cloud data warehouse service (like Snowflake or BigQuery) as a form of “repurchase” — obtaining a new platform rather than porting the old. Industry-wise, just about every sector uses some SaaS: healthcare providers might switch their on-prem medical records system to a cloud EHR service, or a manufacturer might adopt a cloud-based supply chain management system instead of upgrading their legacy one.

Best practices when pursuing repurchase involve evaluating multiple vendors and solutions to ensure the new product meets your requirements. It’s important to perform due diligence on data security, compliance, and integration capabilities of the SaaS or cloud product — how will it integrate with other systems you keep? Planning the cutover is also key: often organizations will run the old and new in parallel during a transition phase, migrating data and users in batches, to smooth out the adoption. Don’t underestimate the need for change management: communicate early with end-users, provide training, and gather feedback to ensure the new solution is being embraced.

In summary, Repurchase is about buying, not building. If a suitable cloud-based solution exists that meets your needs, this strategy can save you the headache of migration or refactoring by simply letting you start fresh on a proven platform. It trades the control of a custom system for the convenience and speed of adoption. When done thoughtfully, repurchasing can rapidly modernize your application portfolio — just be mindful of data migration and alignment between your business and the new software’s processes.

Retire (Decommission)

Not every application is worth migrating. Retire is the strategy where you decommission an application entirely — effectively “turn it off” — because it is no longer needed in the new environment. During cloud migration planning, it’s common to discover a number of legacy systems that provide little value or have been made redundant by newer systems. Instead of expending effort to move these to the cloud, the best approach is to sunset them and eliminate the associated costs and complexity​ techtarget.com ​ tierpoint.com.

An application suitable for retirement might be an old line-of-business system that few people use, or a tool that was replaced by a newer application but still lingers on servers out of inertia. Often, utilization data tells the story — for example, if a server has close to 0% CPU usage for months and no active users (sometimes called a “zombie” application), it’s a candidate for retirement​ docs.aws.amazon.com. Likewise, if two systems have overlapping features after an organization merger, one may be retired to streamline operations. Retiring a system typically involves archiving any data that needs to be retained for regulatory or historical purposes, and then shutting down the servers or services. It could also mean simply not migrating that component and letting it be phased out.

The benefits of retirement are straightforward: you save costs by terminating licenses, hardware, and support contracts associated with the application. You also reduce security and compliance risks — an obsolete application might be running on an old OS with no security updates​ docs.aws.amazon.com

, posing a vulnerability. By retiring it, you close those risk gaps. Moreover, your IT landscape becomes less complex, which means fewer things to maintain or integrate. For instance, an enterprise consolidating systems might retire a legacy reporting tool after moving its remaining reports to a newer analytics platform, thereby eliminating the need to maintain an outdated server and its software.

One of the challenges with retire is ensuring you truly don’t need the application. This involves stakeholder consultation and validation. It’s important to verify that no critical business process or compliance requirement secretly depends on the system in question. In large organizations, sometimes “orphaned” apps linger simply because no one took ownership to turn them off; migration planning is a great opportunity to do housekeeping, but it must be done carefully. A best practice is to maintain an inventory and mark systems with their business owners — when deciding to retire, get sign-off that the functionality is no longer required. Additionally, plan for data retention: if the system holds historical data (customer records, transactions, etc.), decide if that data needs to be exported and stored elsewhere (for example, in a data warehouse or archived to inexpensive cloud storage), or if it can be discarded. Ensure compliance with data retention policies when doing this.

Another consideration is that some applications can’t be simply turned off overnight if they are still in use — in those cases, you might need a phased retirement or to provide an alternative. For example, if an old HR application is being retired because a new SaaS is taking over, you might run them in parallel for a short period or ensure all necessary data is migrated to the new system (which veers into repurchasing strategy). But once the replacement is stable, decommissioning the old system promptly prevents waste.

In summary, Retire is about pruning the portfolio — removing what’s no longer needed. This strategy is crucial for eliminating waste and focusing resources on systems that matter. Many large IT environments find that a significant percentage of servers can be retired rather than migrated, resulting in immediate cost savings. As a practical example, a banking institution might identify dozens of small utilities and reporting databases that have no active users and decide to retire them instead of moving them to the cloud. Each retired application is one less thing to worry about, letting the migration team concentrate on the systems that do need attention.

Retain (Revisit Later or Hybrid)

Retain (also known as “retain and reevaluate” or revisit later) is a strategy to keep an application in its current environment — at least for now. In other words, you decide not to migrate a particular application or component, leaving it running on-premises (or in a private hosting environment) while you move other workloads to the cloud​ docs.aws.amazon.com ​ techtarget.com. Retaining is an acknowledgment that not everything belongs in the cloud today; some systems are better off staying where they are due to business or technical reasons.

There are several reasons why you might choose to retain an application. One common reason is compliance or data residency requirements — for example, if an application’s data must remain in a specific country or cannot be hosted on a public cloud due to regulations, you may need to keep it on-premises​ docs.aws.amazon.com. Security concerns or internal policies might also dictate that certain sensitive workloads stay in a controlled environment rather than a multi-tenant cloud. Another reason is that the application might be highly critical and high-risk to move; perhaps it’s stable and performing well, and the business cannot afford any disruption or the risk of a failed migration, so leadership decides to leave it until a compelling case emerges to change it. Dependency is another major factor — an application might depend on other systems or hardware that are not moving to the cloud, so by retaining it you avoid breaking those dependencies​ techtarget.com. For instance, if a manufacturing execution system interacts in real-time with factory floor equipment, you might keep it on-prem alongside the equipment for latency and reliability reasons.

Sometimes retaining is simply a matter of deferring a decision. It could be that an application was recently upgraded or a large investment was made in on-prem infrastructure, so the ROI of migrating it now is low​ docs.aws.amazon.com. Companies might choose to wait and get the value out of the existing setup before revisiting cloud migration later. Another case is when a vendor has announced a SaaS version or upcoming cloud support for a product you use — you might hold off migrating that app and plan to directly adopt the new SaaS when it’s available​ techtarget.com. This happens often with enterprise software: for example, an organization running a big ERP system on-premises might retain it for now if the vendor is expected to release a cloud-managed version in a year or two, thus skipping an interim migration.

It’s important to note that retain is usually a temporary or transitional classification. It doesn’t mean “never migrate” (though in some cases it could be indefinite). Rather, it means “leave it for now and revisit in the future.” As part of a cloud strategy, you would periodically review the retained applications and evaluate if conditions have changed — perhaps cloud offerings improved, new migration tools exist, or the application has changed (or business priorities shifted) making it a candidate to migrate or replace now.

When you do decide to retain certain systems, you should still incorporate them into your overall architecture planning. That often means designing a hybrid cloud architecture where on-premises and cloud systems coexist. Pay attention to integration points — for example, if your e-commerce front-end is moved to cloud but the inventory database is retained on-prem, you’ll need secure network connectivity (VPN/Direct Connect, etc.) between cloud and data center and strategies for latency and reliability. Many organizations run in a hybrid mode for an extended period, where some legacy systems remain on-prem until they are eventually phased out or migrated years later. Ensuring monitoring, security, and data consistency across the hybrid environment is key.

In summary, Retain is the conscious choice to do nothing (for now) with a given application, keeping it in place. It is a valid part of the migration strategy because it recognizes practical constraints — not everything can or should move immediately. For a CTO, the retain category might include, for example, a core banking system that is too risky to touch this year, or a set of factory control systems that will stay on specialized hardware on-site. The plan would be to re-evaluate these decisions periodically. Retaining applications can reduce migration scope in the near term, focusing efforts where they can have the most impact, while maintaining business continuity for systems that are best left undisturbed. The key is to have a clear justification for retain decisions (compliance, risk, cost, etc.) and a revisit timeline so that “retain” doesn’t become “ignore forever.”

Relocate (Hypervisor-Level Migration)

Relocate is a newer addition to the cloud migration strategies, referring to moving infrastructure as-is at the hypervisor level to a different location (typically a cloud data center) without changing the machines or applications themselves​ techtarget.com ​ tierpoint.com. It’s essentially a lift-and-shift of entire virtual environments. This strategy became prominent with the advent of offerings like VMware Cloud on AWS, Azure VMware Solution, Google Cloud VMware Engine, and similar services where you can transfer your existing VMs and virtualization stack into the cloud provider’s infrastructure. In a relocate scenario, you might take a collection of VMware VMs running on-premises and migrate them to run on VMware in a public cloud, without converting them to cloud instances. The applications inside those VMs are none the wiser — they continue to run on the same virtual hardware and OS, but the underlying physical location of that hypervisor has moved to a cloud data center.

To illustrate, suppose your company has a VMware cluster hosting 100 virtual machines. A relocate approach would be to use a tool (like VMware HCX or other replication technologies) to live-migrate those VMs into a VMware Cloud service. After relocation, your sysadmins manage those VMs with familiar tools (vCenter, etc.), but the hardware is now provided by the cloud vendor. Similarly, relocating could apply to other platforms — for instance, “relocating” a set of Kubernetes clusters by shifting them to run on a cloud provider’s Kubernetes service (keeping the workloads intact). In each case, the idea is a platform-consistent move: you keep the same virtualization or container platform, just change its hosting from on-prem to cloud.

The benefit of relocate is that it’s often even simpler than rehosting in terms of changes required. It can sometimes be automated to a high degree — literally moving virtual disks and memory states over the network to the cloud. There is minimal learning curve for IT staff, since they continue using the same management interfaces and processes as before​ techtarget.com. This strategy is very attractive for organizations heavily invested in a virtualization technology and want to avoid rearchitecting or even reconfiguring VMs to fit cloud provider VM formats or networks. By relocating, they can achieve a fast migration of entire data center workloads, essentially creating a “datacenter in the cloud” that mirrors their on-prem setup.

Relocate is particularly useful when a cloud provider has a specialized service for your environment (like VMware or OpenStack support) and you need to close your physical data center quickly. It’s also a good interim strategy if you eventually plan to convert those workloads to more cloud-native forms but want to first get out of the on-premises facility. Some organizations use relocation for disaster recovery or backup purposes as well — they maintain a replica of their virtual environment in the cloud, which can be “failed over” during emergencies.

However, it’s worth noting the limitations of relocate. In effect, you are moving to cloud infrastructure but not yet leveraging any cloud-native services — so all the same caveats of Rehost apply (and perhaps even more so, since you might be paying a premium for specialized hosted platforms). Running a large VMware stack in a public cloud can be costly, and you’ll still have to manage capacity, patching of VMs, etc., just as you did on-prem. It doesn’t automatically improve the application architecture or performance; it mostly buys time and potentially global infrastructure reach. Thus, many see relocate as a stepping stone: once your VMs are in the cloud data center, you can later choose to rehost them onto cloud VM instances or refactor portions to cloud services when ready. But if you never proceed to that, you might question whether the benefits justify the ongoing cost.

Challenges with relocate include possible vendor lock-in at the platform layer — e.g. being tied to VMware licensing in the cloud. Also, not all workloads can be relocated if they depend on physical hardware (for instance, certain appliances or mainframe systems — though some clouds even offer mainframe emulators or bare-metal hosting that could be considered a form of relocation). Technical gotchas like network addressing, VM compatibility, or performance tuning of the replication can come into play. It’s crucial to test representative systems to ensure they run correctly after the move (for example, some low-level workloads might have assumptions that need verification).

In practice, Relocate is the choice when an enterprise wants a fast, low-change migration for a large VM estate. A typical example is a company deciding to “lift-and-shift” their entire VMware farm into a cloud provider’s VMware service to avoid investing in new on-prem hardware. They gain the benefit of moving to an OPEX model and possibly closer proximity to other cloud services (which they can start integrating with), without refactoring the VMs. Another example: a government agency could relocate legacy systems to a specialized cloud datacenter that offers the same OS/hypervisor environment, in order to shut down old data centers while meeting strict compliance (keeping the systems largely unchanged).

In summary, Relocate extends the lift-and-shift concept to the infrastructure level. It’s about moving your “data center” into the cloud intact, platform and all. This seventh R widens the options for migration, ensuring that even those organizations unwilling or unable to modify workloads can still begin their cloud journey by simply relocating the foundation on which those workloads run​

techtarget.com. It underscores the cloud providers’ push to meet customers where they are — even if that means hosting identical copies of their on-prem environment in the cloud. As with all interim solutions, it should ideally be part of a roadmap that includes modernization down the line, but it fulfills the immediate goal of exiting the on-premises facility and can be a pragmatic part of an overall hybrid-cloud strategy.

Conclusion

Migrating to the cloud is a complex, multidimensional challenge, but the 7 Rs framework provides a structured approach to navigate it. In practice, a comprehensive cloud migration plan will usually employ multiple Rs in combination: for example, an enterprise might Rehost a large portion of less-critical servers to gain quick momentum, Replatform a few key systems to mitigate obvious inefficiencies, Repurchase commodity capabilities via SaaS, and Retire a chunk of obsolete applications — all while Retaining certain systems until a later phase and possibly Relocating an entire VM farm to expedite the data center exit. Each “R” decision is made by evaluating technical complexity, business value, cost, risk, and timing. The outcome of this rationalization is a migration roadmap aligned with the organization’s goals.

For CTOs and IT strategists, understanding these seven options is crucial to inform cloud migration strategy. It’s not about choosing one approach for all, but rather mapping each workload to its optimal path. Equally important is leveraging the right tools and frameworks during execution. Cloud-agnostic migration planning tools can help discover application dependencies and recommend the appropriate R for each system. For instance, automated discovery platforms can identify “low-hanging fruit” to Retire or Rehost, and flag applications better suited for Refactor. Meanwhile, Cloud Adoption Frameworks provided by major vendors (and industry guides) incorporate the 7 Rs as a core part of the planning phase, ensuring organizations consider all options​ txture.io. By following a methodical assessment (discover, assess, decide, migrate, optimize), teams can minimize surprises and handle the challenges of each approach — from data migration in a Repurchase to code redesign in a Refactor — with proper preparation.

Looking ahead, cloud migration strategies will continue to evolve. We are seeing trends like multi-cloud and hybrid deployments becoming the norm, which means migration plans must accommodate moving workloads not just to a cloud, but to the right cloud environment (public, private, edge) for each component. The 7 Rs framework is flexible enough to apply in these scenarios as well — for example, one might choose to Replatform an application onto a Kubernetes cluster that can be deployed on any cloud, or Retain certain data on-prem for sovereign cloud requirements while Refactoring user-facing services to be cloud-agnostic. Automation and AI are also starting to play a role in cloud migrations — from intelligent code analysis tools that help refactor legacy code for cloud, to AI-driven migration planning that can simulate costs and performance of various R options. These advancements could reduce the effort of the more challenging strategies (like refactoring), making them more accessible.

Another emerging consideration is the continuous nature of modernization. Migration isn’t a one-time project after which everything is static. Many organizations adopt a culture of continuous improvement: once in the cloud, applications are periodically revisited for further optimization (sometimes circling back through another “R” — e.g., an app that was Rehosted might later be Refactored to serverless). In essence, the 7 Rs can be thought of not just as initial migration strategies, but as part of an ongoing cloud optimization lifecycle.

In conclusion, a successful cloud migration requires a nuanced mix of strategies. The 7 Rs framework offers CIOs and CTOs a vocabulary and decision matrix to systematically tackle a cloud migration initiative. By applying the right strategy to the right application, enterprises can migrate with lower risk and higher confidence — achieving quick wins where feasible, while strategically investing effort where it yields the greatest long-term benefit. With careful planning, robust tooling, and a clear understanding of these options, organizations can transform their IT landscape, migrating to the cloud in a way that is aligned with their business objectives and sets them up for future success in the cloud era.

Sources and References

· Amazon Web Services — AWS Prescriptive Guidance: “About the migration strategies (7 Rs)”​ docs.aws.amazon.com docs.aws.amazon.com.

• TechTarget — Brien Posey: “The 7 R’s of cloud migration: How to choose the right method”​techtarget.com techtarget.com techtarget.com (Dec 2024).
• TierPoint Blog — Channing Lovett: “The 7 Rs of Cloud Migration: Defining What You Need to Know”​tierpoint.com tierpoint.com (Sep 2023).
• BizTech Magazine — Bob Keaveney: “Many Businesses Are Nearing the Completion of Their Cloud Migrations”​ biztechmagazine.com biztechmagazine.com (Feb 2025).
• Emergent Software Blog: “Cloud Migration: What Is Repurchasing?” emergentsoftware.net (example of repurchasing a CRM).
• Txture Blog: “All you need to know: The 6 R’s of Cloud Migration”​ txture.io (example scenario for rehosting urgency).
• Wavestone: “Choose Wisely from the 7 Rs of Cloud Migration Success — or Pay Dearly Later”​wavestone.com wavestone.com(May 2024).
• NetApp BlueXP: “The 7 Rs of Cloud Migration: 7 Strategies Explained”​ bluexp.netapp.com (June 2023).