Cloud Transformation Strategy: Your Complete 2026 Implementation Guide

The cloud service we know today as Amazon Web Services (AWS) started in 2006, and since then, the world has shifted—server by server—to the cloud. But there’s a paradox: Despite the past 20 years of progress, cloud transformation remains complex, and many migrations stall or fail.

On paper, the industry has “moved to the cloud.” Gartner forecast that worldwide public-cloud spending would reach roughly $723 billion in 2025—reflecting how central cloud has become to enterprise technology strategy. Despite that, modernization remains an urgent priority—as “being in the cloud” and “being modern” are not the same.

For commerce leaders, that gap often shows up as platform drag—long development cycles, heavy maintenance, and difficulty launching new initiatives. At the same time, replatforming can feel risky when revenue-critical systems are involved. 

A cloud transformation strategy is what separates a technical migration from true modernization. It isn't just "lift and shift.” Modernization requires reimagining how commerce operates in a cloud-native world.

Platform choice plays a defining role. Research shows that implementations on Shopify are 20% faster on average, with lower budgeted costs. They’re also more likely to launch on time and stay on budget—factors that often determine whether transformation builds confidence or disrupts business.

This guide focuses on building a cloud transformation strategy that delivers measurable business outcomes, not just a completed migration.

What is a cloud transformation strategy?

A cloud transformation strategy is the roadmap that connects cloud capabilities to business outcomes, including what you’re changing, why you’re changing it, and how you will deliver value with acceptable risk. A cloud transformation is not, however, synonymous with merely moving workloads to the cloud. Transformation is broader than migration, and confusing the two often leads to disappointing results.

For commerce teams, that distinction matters, because moving to the cloud without changing how you build and operate won’t change business results.

Cloud transformation vs. cloud migration vs. cloud adoption

Cloud transformation involves using the cloud to achieve business goals. Cloud adoption, in contrast, means using cloud services on an ad hoc basis. Migration is narrower. It’s the technical process of moving data and apps into a new environment—often without changing how they’re built or run (known as lift-and-shift).

True cloud transformation is especially important for commerce. Hosting applications in AWS, Azure, or Google Cloud is a technical choice, and its business impact will be limited. Commerce businesses are better off thinking bigger and considering how cloud-native commerce platforms can shape business goals as well as technical goals. In other words: your cloud transformation strategy should be defined by the operating model you need—not just where workloads run.

Cloud-native is often misunderstood to mean merely “running in the cloud.” The more precise view is that cloud-native requires architectures and operating models designed for elasticity, resilience, automation, and continuous delivery. 

The Cloud Native Computing Foundation (CNCF), for example, describes cloud-native as technologies and approaches that empower organizations to build and run scalable applications across modern environments, including public, private, and hybrid. These organizations commonly use containers, microservices, declarative APIs, and similar patterns. 

CNCF similarly contrasts “cloud-based” and “cloud-native,” emphasizing that the latter platforms are designed for the cloud, treating it as a first principle.

For commerce leaders, that creates a crucial implication:

• Infrastructure-layer strategy, or infrastructure as a service (IaaS) focuses on compute, storage, and networking.
• Platform-layer strategy, or platform as a service (PaaS) focuses on developer acceleration and managed runtimes.
• Software-layer strategy, or software as a service (SaaS) focuses on adopting managed business capabilities so teams can concentrate on differentiation.

Most cloud content emphasizes IaaS decisions, such as AWS versus Azure, landing zones, and network topology. Those are necessary questions, but in commerce, they are rarely sufficient. 

Commerce organizations need to focus just as much, if not more, on application-layer cloud transformation: modernizing commerce infrastructure and enterprise architecture so you can ship faster, scale predictably, and reallocate engineering effort from maintenance to growth. Already, most commerce is shifting from hosted legacy solutions, such as Magento on AWS, to SaaS and cloud-native platforms, such as Shopify and BigCommerce. 

Why commerce businesses need a cloud transformation strategy in 2026

Commerce in 2026 is defined by compounding complexity: more channels, more markets, more localization, more personalization, and more pressure to move at the speed of culture—all while maintaining enterprise-grade reliability. Without a clear cloud transformation strategy, that growth can outpace the systems meant to support it.

Meanwhile, cloud technology itself is proving not to be a guarantee—not without a strategy. Gartner research predicts that 25% of organizations will experience significant dissatisfaction with their cloud adoption by 2028. “To remain competitive,” the company writes, “enterprises need a clear cloud strategy and effective execution.” 

The commerce-specific imperative 

Unlike many enterprise applications, commerce systems face tough real-world constraints:

• Demand volatility, including marketing campaign spikes, influencer traffic, and seasonal peaks
• Always-on expectations with intolerance for slow pages and failed checkouts
• Requirement to integrate across an entire ecosystem, including enterprise resource planning systems (ERP), order management systems (OMS), customer relationship management systems (CRM), fraud, tax, payments, identity, and analytics

This is why enterprise infrastructure solutions in commerce must be evaluated by business impact, not just technical elegance, and why technical problems in commerce need to be understood within a much larger context.

One useful indicator of why cloud-native commerce platforms matter is scale: Shopify reports $1.1 trillion in cumulative global commerce (GMV) since its inception, and over 12% of US ecommerce is powered by Shopify. Cloud-native commerce platforms have demonstrated the ability to power companies at a massive scale.

Regardless of vendor preference, the strategic takeaway is that cloud-native commerce platforms can operate at massive throughput and are increasingly a mainstream architectural option for enterprise teams. 

The cost of legacy infrastructure 

Legacy commerce platforms and self-managed infrastructure impose costs in at least three categories:

• Technical debt: Technical debt is a measurable burden that increases delivery costs and diverts budgets away from new capabilities. 
• Maintenance overhead: Patching, security upgrades, dependency management, scaling, incident response, and performance regression work all create costs that accumulate. 
• Integration fragility: Legacy architectures tend to create tight coupling between storefront, checkout, promotions, and back-end workflows, meaning changes tend to take longer and break more often.

Even if you host a legacy platform on cloud infrastructure, you may simply end up relocating the operational burden rather than removing it. Cost discipline, even with the cloud, is not trivial. 2025 Harness research found, for example, that 21% of enterprise cloud infrastructure spend is wasted on underutilized resources. Simply moving to the cloud will not solve your cost and tech debt issues.

Over time, these hidden costs reduce innovation—engineering effort shifts toward maintenance instead of new features, experimentation, and growth opportunities.

Agility as competitive advantage

A cloud transformation strategy is, at its core, an agility strategy. High-performing organizations treat predictability, delivery speed, and stability as measurable system properties. 

For enterprise commerce, these aren’t vanity metrics. These values are the very real operational foundation for:

• Faster merchandising iteration
• Faster localization and market launches
• Faster experimentation, including A/B testing and personalization
• Faster recovery when something breaks at peak 

In practical terms, agility means shortening development cycles and reducing maintenance drag so teams can say “yes” to ambitious initiatives with shorter lead times.

In 2026, the winning organizations will be those that build scalable infrastructure and enterprise architecture to make change safe and routine. The market’s pace isn’t slowing down, so agility becomes a defining advantage. 

The greatest level of agility, however, isn’t the result of any and every adoption of the cloud. For commerce, cloud transformation is necessary but insufficient for agility; platform modernization, especially with a cloud-native platform, is the actual end state.

The cloud transformation strategy framework

Generic cloud transformation strategies don’t work. This framework is commerce-specific and designed for CTOs, CIOs, and digital transformation leaders who need measurable outcomes, not a superficial checklist. It’s built to help you make platform and architecture decisions that improve speed, predictability, and cost—not just move workloads.

Phase 1: Assess your current state

A cloud transformation strategy begins with clarity about what you actually run today. In commerce, what we call “the platform” is rarely a single system. It’s really an ecosystem.

Start by mapping your current commerce capability across five layers:

• Experience layer: Web storefront, mobile apps, in-store experiences, and content surfaces
• Commerce layer: Catalog, pricing, promotions, cart, checkout, and accounts
• Operational layer: OMS, fulfillment, inventory, returns, and customer service workflows
• Data and insight layer: Analytics, experimentation, customer data, attribution, and forecasting
• Integration and governance layer: APIs, middleware, identity, security controls, observability, and release pipelines

This is an enterprise architecture exercise as much as an infrastructure one. You are identifying spots with tight coupling, single points of failure, and bottlenecks where innovation is blocked by structural constraints. The goal is to surface where change becomes slow, risky, or expensive—especially in revenue-critical flows like checkout and promotions.

Phase 2: Audit your existing commerce stack 

Your audit should answer questions that are specific and granular. Platitudes and assumptions must be ignored. Instead, ask:

• Which components are monolithic and which are modular?
• What percentage of business change requires code changes? And how often do they touch checkout, promotions, and pricing?
• Where are you constrained by release windows, regression risk, or vendor upgrade cycles?
• What are your peak traffic and peak order conditions, and what fails first under stress?

The point isn’t documentation for its own sake. The goal is to identify constraint hotspots—pieces of the stack where each change is slow, risky, or expensive. If you can’t name the top three bottlenecks, you can’t prioritize the right transformation moves.

Phase 3: Identify business goals and constraints 

A cloud transformation strategy collapses without business alignment. Before you start, define measurable business objectives and build alignment with key stakeholders. Objectives can include:

• Reducing time to market for customer-facing changes
• Increasing site performance and checkout conversion
• Lowering the total cost of ownership (TCO)
• Accelerating global expansion
• Improving reliability during peak

Then determine the constraints that are most likely to limit your work, and take care to identify the ones most significant to retail and commerce, including:

• Compliance requirements, such as PCI, privacy, and data residency
• Operational dependencies, such as ERP cutover windows and warehouse constraints
• Organizational capacity, such as engineering bandwidth and change fatigue
• Integration realities, including with your OMS, tax engines, and payment processors

Your strategy should reflect both your objectives and your constraints. Be explicit about trade-offs early—especially where speed, risk, and customization compete. 

Phase 4: Calculate true total cost of ownership

Cloud transformation strategies often fail because the financial model is wrong. The TCO of commerce goes far beyond platform license costs and cloud bills. A full accounting includes:

• Engineering time spent on maintenance and upgrades
• DevOps time on scaling and incident response
• Security patching and compliance controls
• Third-party services added to fill gaps
• Opportunity cost from slow experimentation

Research from an independent consulting firm found, for example, that Shopify has 33% better TCO, on average, than its competitors. Comparisons like these abound: Modern cloud-native platforms reduce total costs by significant amounts. 

The key is to model what you spend to keep the current platform running—and what that spend prevents you from building.

Phase 5: Define your cloud transformation strategy

For commerce businesses, there are four primary approaches: rehosting, replatforming, refactoring, and replacing. 

In a rehost, or lift-and-shift strategy, you move the existing platform to cloud infrastructure. This can reduce data center burden, but it often preserves the same architectural constraints and operational responsibilities. 

In a replatform strategy—or lift, tinker, and shift—you move and make incremental improvements, such as adding managed databases, autoscaling, and containerization. This can improve resilience, but still leaves the platform’s core constraints intact, especially if it remains a heavily customized legacy system. 

In a refactor, or rearchitect strategy, you redesign the commerce domain into cloud-native services that are often API-first and headless. This can deliver strong differentiation, but timelines and execution risk rise quickly for enterprises unless narrowly scoped and governed. 

In a replace strategy—or a rebuild on SaaS—you adopt a cloud-native SaaS commerce platform and focus your engineering efforts on differentiation via integrations, custom experiences, and domain-specific services. This often yields the fastest time to value when the core business problem is platform drag rather than unique core commerce logic.

For many enterprise commerce teams, this becomes a strategic turning point. Replacing the core platform can shift effort from infrastructure work to business growth. 

Phase 6: Build in commerce-specific considerations

A strong commerce cloud transformation strategy treats the platform as a product with explicit and specific attributes, including:

• Elasticity and resilience: Surviving peak traffic is table stakes.
• Change velocity: Reducing lead time and increasing deployment frequency matters directly in commerce more than in most enterprise domains.
• Integration-first design: ERP, OMS, product information management (PIM), fraud, tax, and identity shape your architecture more than your storefront framework does.

An effective strategy also acknowledges the reality of enterprise brand portfolios. You may need multi-store and multi-brand capabilities, shared services, and strong governance to avoid multiplying complexity as you grow. 

For most commerce brands, the replace approach, including a SaaS platform migration, delivers the best return on investment (ROI). Custom platforms often require sustained maintenance investment, while SaaS platforms include continuous updates as part of the model. There are tradeoffs to each, but with frameworks like Shopify Hydrogen, which offer a headless and composable architecture, organizations can find a middle ground between power and flexibility.

Without commerce-specific considerations, transformation can reduce infrastructure burden while increasing operational complexity.

Phase 7: Prioritize workloads for migration

A commerce transformation roadmap should prioritize by two dimensions:

• Business value unlocked, such as conversion, revenue protection, speed, and market expansion
• Dependency and coupling complexity, especially regarding how many systems must change together

Start with a contained but meaningful pilot, such as a specific region, brand, or standalone storefront. Choose an area where risk is manageable but business impact is visible.

As you move across workloads, monitor the impact of these changes on your key performance indicators (KPIs), including site speed, conversion rate, developer velocity, and TCO reduction. 

There are risks as well as benefits, so a phased approach—where you start with a pilot, expand rollout component by component, and then optimize—is often the best balance. Take a look at commerce-specific replatforming guides to ensure you’re not missing anything. Our guide includes 11 steps:

• Identifying your replatforming needs and priorities
• Gathering stakeholders
• Shopping for a new ecommerce platform
• Planning the ecommerce platform migration
• Backing up your store’s data
• Designing and developing the new ecommerce site
• Migrating store data
• Optimizing the checkout experience
• Conducting an SEO audit pre-launch
• Testing (and more testing)
• Launching the website

Check out our full replatforming guide to read about each step in greater detail.

Clear prioritization determines whether transformation builds momentum—or stalls under its own scope. 

Phase 8: Follow migration execution best practices

A few practices consistently separate migrations from transformations, including:

• Define a cutover architecture that determines what routes are where, how rollback works, and what “done” means.
• Treat integrations as products, including versioned APIs, contract testing, and monitoring.
• Design for observability, especially logs, metrics, traces, and business telemetry.
• Create operating guardrails that define security baselines, release governance, and incident playbooks. 

One of the most critical steps is data migration, which is easy to get wrong. You typically need multiple classes of migration, including:

• Product and catalog data
• Customer data
• Order history
• Promotions and pricing rules

As a result of this internal diversity, a disciplined approach includes:

• Parallel environments, especially staging that mirrors production
• Automated regression tests for checkout and promotions
• Load testing under peak assumptions
• A defined parallel run period when feasible

These best practices reduce the risk of discovering defects at the worst possible time—when customers are live. Strong execution protects revenue and keeps the business stable during transformation.

Phase 9: Position security and compliance as a shared reality

A transformation strategy must explicitly account for security ownership. 

Under shared-responsibility models in cloud technology, the cloud provider secures parts of the stack, but customers retain responsibility for data, identity, and the components they configure and control, especially in IaaS scenarios. 

This is one reason SaaS can simplify transformations: it can reduce the surface area of infrastructure and platform controls you personally operate. Clear security ownership reduces launch risk and avoids last-minute compliance surprises that can delay transformation. 

Phase 10: Continuous optimization

This is where the investment pays off or quietly disappoints.

Post-migration optimization is not cleanup work. Optimization shifts from platform maintenance to measurable performance improvement. Tasks to add include:

• Performance tuning, including page speed and latency hotspots
• Conversion experiments
• Reliability engineering
• Cost optimization, such as rightsizing, commitment planning, and waste reduction
• Identifying which cloud-native features benefit you most

Remember that the goal isn’t to migrate but to transform. As such, your measurement and optimization phase should include ROI metrics, including:

• Revenue upside, including conversion lift, higher average order value (AOV), and better retention
• Cost reduction, including lower maintenance overhead, fewer incidents, and reduced implementation variability
• Option value, such as the ability to launch new channels and markets quickly

As one example of quantified business impact, research from an independent consulting firm found that implementations on Shopify are 66% more likely to launch on time and 3x more likely to stay on budget. Predictable launches and controlled budgets are foundational to ROI—because transformation only creates value when it delivers on time and without disruption. 

Cloud transformation strategy for commerce platforms: SaaS vs. self-hosted

The most common decision point in commerce cloud transformation is deceptively simple: Do we self-host a commerce platform on cloud infrastructure, or migrate to a cloud-native SaaS commerce platform? This is where many enterprises conflate location with operating model, and that choice can shape cost, risk, and delivery speed for years.

The self-hosted cloud paradox

Running a commerce platform on IaaS—even one of the hyperscalers—can still leave you with:

• Patching responsibilities
• Infrastructure scaling and performance work
• Incident response and on-call load
• Compliance validation
• Complex release engineering

Cloud providers take responsibility for underlying infrastructure components, but the customer still owns substantial responsibility for what they configure and run. In practice, your team still owns day-to-day operations, security configuration, and reliability at the application layer.

This means that hosting a legacy platform on AWS, Azure, or Google Cloud Platform (GCP) can be “cloud-based” without being “cloud-native.” CNCF’s framing of cloud-based vs. cloud-native remains a useful mental model here: cloud-native implies design choices that embrace modularity, resilience, and operational automation—not just running the same software on rented servers. 

A second, more subtle paradox is cost: without disciplined governance, waste in cloud spending is common. HashiCorp’s cloud strategy survey findings show how frequently organizations report avoidable cloud spending. All the costs associated with the above list can accumulate, leaving you with overhead instead of agility. If governance is weak, self-hosting can turn flexibility into unpredictable run costs and slower delivery.

The cloud-native SaaS advantage

SaaS commerce platforms aim to collapse infrastructure and platform operations into the vendor’s responsibility, letting enterprise teams focus on:

• Enterprise architecture and integration
• Customer experience differentiation
• Data strategy and experimentation
• Channel and market expansion

Teams spend less time managing infrastructure and more time building. You get to focus on integrating and governing a modern commerce core rather than trying to run and patch a bespoke commerce engine at scale?” 

And with SaaS, you benefit from innovation without having to add innovation costs on top of those maintenance costs. Shopify, for example, invested $1.4 billion in R&D in 2024 alone, meaning every Shopify merchant benefits from that investment without having to fund it directly. 

Ultimately, the self-hosted option is best only when there are extreme customization needs or rare regulatory requirements that necessitate self-hosting. Otherwise, cloud-native SaaS covers the vast majority of commerce use cases. 

Common cloud transformation strategy mistakes (and how to avoid them)

Cloud transformation fails for surprisingly predictable reasons—not because the technology doesn’t work, but because strategy, governance, and operating models lag behind ambition. 

The following mistakes appear again and again in enterprise commerce. Understanding them and designing deliberately to avoid them can mean the difference between a costly migration and a true business transformation.

Treating cloud migration as an IT project

When cloud transformation is framed as “IT moving systems,” business stakeholders disengage. Later, they return at go-live to discover the new system doesn’t support the operating model they actually need. 

Avoid it by making transformation outcomes explicit. Emphasize benefits they will understand, such as speed, conversion, resilience, and cost. To make this concrete, build a governance model where commerce leaders co-own priorities. Clarify ownership early—who owns trade-offs across cost, speed, risk, and customization—so delivery doesn’t stall with conflicting priorities. 

Lift-and-shift without optimization

Cloud hosting does not automatically reduce technical debt. Architectures not designed for the cloud can remain brittle and slow even after migration. 

Avoid this mistake by using migration as a forcing function for architectural simplification: decouple experiences, consolidate duplicated capabilities, and apply incremental modernization patterns where replacement is too risky. The end goal is to rearchitect or replace, not to just rehost.

If the platform remains hard to change, the business will still feel slow—even if your infrastructure looks modern on paper.

Underestimating hidden costs

Hidden costs tend to follow a pattern, but they’re often underestimated over time. Cloud hosting bills can spike unexpectedly and unpredictably, and DevOps costs, in parallel, can explode as teams work to manage the cloud. 

Avoid hidden costs with an explicit TCO model and operational cost governance that includes platform costs, infrastructure costs, and people costs. Cost governance also improves predictability—one of the fastest ways to lose stakeholder confidence is a migration that misses budget targets.

No change-management plan

Teams don’t adopt a new platform just by receiving access credentials. They adopt it when:

• Workflows change
• Incentives change
• Training is real
• Ownership is clear

Cloud adoption frameworks treat people and processes as core pillars for a reason. 

Avoid this mistake with a structured enablement plan, updated operating model, and visible executive sponsorship. Otherwise, teams can resist the new paradigm, and adoption can collapse. Without adoption, the platform changes, but business outcomes don’t.

Choosing cloud provider before strategy

Selecting AWS, Microsoft Azure, or Google Cloud too early locks you into decisions before you’ve clarified what must change at the platform and application layers. It’s like selecting tools before defining the problem. 

Instead, determine your business outcomes, identify an operating model, build out your ideal enterprise architecture, and then—and only then—start provider and tool selection. With a strategy in mind, more options open up. It’s not just about cloud providers; for most commerce companies, provider selection should follow strategy—not substitute for it.

How modern commerce platforms simplify cloud transformation 

There’s a reason many commerce leaders increasingly treat modern commerce platforms as cloud transformation out of the box: they internalize infrastructure and platform operations, so the enterprise can focus on what differentiates it.

SaaS commerce platforms: Cloud transformation out of the box

In SaaS models, the transformation effort shifts from “How do we run the platform?” to “How do we use the platform to ship outcomes?” With a cloud-native SaaS platform, the cloud transformation is packaged within the platform, leapfrogging you over the cloud pains you might otherwise get stuck with.

The practical impact is operational: fewer release dependencies and maintenance cycles. Teams can spend less time keeping the platform stable and more time improving customer experience, conversion, and speed to market.

The composable commerce advantage

Modernization in 2026 is more nuanced than choosing monolith or microservices as a dogma. For businesses facing real, practical challenges, modernization requires building modularity where it helps most.

Composability lets you evolve components, including search, content, promotions, and personalization, without destabilizing the whole commerce engine. SaaS platforms increasingly support composable patterns—including API-first extensions, headless front ends, and specialized integrations—which can give enterprises a pragmatic middle ground. They can benefit from a managed commerce core and extend or customize through flexible differentiation layers.

This helps teams modernize in phases: change what’s customer-facing first, while keeping core transactions stable. 

From platform migration to business transformation

The strategic target state is not a new platform or new technology. The true target state is:

• Teams ship faster.
• Reliability improves.
• The business can take on ambitious initiatives without multi-quarter lead times.

Essentially, business transformation is the goal, and platform migration is the means to that end. Post-migration, the right platform provides faster time to market and teams focused on innovation instead of maintenance—a transformation that leads directly to business outcomes.

If the operating model doesn’t change—how teams build, release, and measure—then the platform change won’t translate into sustained results.

Real-world cloud transformation success: Commerce brands that got it right

Enterprise commerce transformation becomes more believable when you can see how organizations escaped the “stuck vs. replatform” trap with concrete examples. These examples show what a cloud transformation strategy looks like in practice: faster delivery, more predictable execution, and measurable business impact.

Skullcandy: Platform migration as accelerated cloud transformation

Skullcandy is a clean illustration of how a cloud-native commerce platform migration can function as a real transformation rather than a like-for-like swap. The company replatformed their US site in 90 days, followed by additional market launches within weeks. 

After replatforming, the company:

• Saved three months and millions of dollars by simplifying their tech stack
• Dropped homepage load time to 0.8 seconds (from 2.8 seconds)
• Delivered the most successful holiday sales period ever, with 45% YoY revenue growth

Simplifying the stack allowed them to invest in differentiating work rather than operational survival. 

The strategic takeaway: Platform modernization improved speed and predictability, which made rapid follow-on launches possible.

David’s Bridal: Transformation as rebuilding a legacy

David’s Bridal underwent a sweeping modernization, with the store maintaining a legacy of nearly 200 stores before the transformation. CEO Kelly Cook deemed it their “Aisle to Algorithm” transformation, and with Shopify, they transformed in just 9 months when the effort was expected to take years. The company accomplished:

• A complete ecommerce replatforming
• The launch of a new Canadian ecommerce site 
• First-of-its-kind interactive digital screens with “endless aisle” shopping and real-time inventory capabilities

Platform transformation led directly to business outcomes thanks to a cloud-native platform with multi-store capabilities.

The strategic takeaway: A clear platform strategy enabled faster execution across channels without destabilizing core transactions.

From cloud migration to competitive advantage

In 2026, the question is no longer whether commerce enterprises will move to the cloud. The vast majority already have in some form. The real question is whether that move becomes a cost center or a catalyst. For most teams, the difference comes down to platform choice and a cloud transformation strategy that’s built for predictable delivery—not just cloud adoption.

A true cloud transformation strategy goes far beyond infrastructure migration. It is not about servers, regions, or providers alone. It’s about redesigning your commerce architecture and converting technical capability into measurable business performance.

For enterprise retail and DTC brands, the distinction is critical. The fastest path to cloud-native commerce is migration to a platform that’s already built for the cloud. A self-hosted cloud leads to ongoing complexity, whereas a SaaS platform offers completed transformation out of the box.

When a migration is more likely to launch on time and stay on budget, it stops feeling like a gamble and starts functioning like a strategic lever. 

Ready to explore cloud-native commerce? Download our replatforming guide.