Multicloud Strategy: 7 Deployment Steps, Pros & Cons

Most enterprises now run workloads across more than one cloud provider. Some arrived there deliberately. Many arrived through acquisitions, shadow IT and a SaaS estate nobody mapped often carrying technical debt with it. The difference matters. Gartner expects more than half of organisations to miss the results they wanted from multicloud by 2029, usually because the architecture grew without a plan behind it.

The difference matters. Gartner expects more than half of organisations to miss the results they wanted from multicloud by 2029, usually because the architecture grew without a plan behind it.

This article covers what multicloud deployment involves in practice: the four patterns companies actually use, ten documented examples from banks, airlines and retailers, the seven steps to a working implementation, and the cases where staying on one provider is the better commercial call. If you are weighing that decision now, our cloud application development team works through it with clients every week.

What is a multicloud strategy?

Two things drive the decision: access to capabilities a single provider does not offer, and resilience when that provider goes down. The second driver has gained weight. AWS and Azure both suffered high-profile outages during 2025 that disrupted services across industries and regions, and Forrester expects at least two more multiday outages in 2026 as hyperscalers divert investment into GPU-heavy data centres and older infrastructure struggles under the complexity.

Forrester also expects at least 15% of enterprises to move toward private AI running on private clouds during 2026, driven by cost, data lock-in and operational risk. Both predictions point the same way: the assumption that one provider will simply stay up is under review at board level.

Understanding multicloud vs. hybrid cloud

Multicloud describes an organisation using multiple public cloud computing services simultaneously from different providers like AWS, Microsoft Azure, and Google Cloud Platform. This differs from hybrid cloud strategies, which combine private infrastructure with public cloud services from typically one provider. A key advantage of multicloud approaches is enabling organisations to adopt cloud agnostic solutions - applications and services designed to run seamlessly across different cloud platforms without vendor lock-in.

	Multicloud	Hybrid cloud	Hybrid multicloud
Setup	Two or more public providers	Public cloud plus private infrastructure	Both
Main driver	Avoiding lock-in, best-of-breed, redundancy	Control, data residency, compliance	Resilience under regulatory pressure
Main cost	Skills and management overhead	Capital expenditure on private kit	Highest of the three
Typical adopter	SaaS, retail, media	Banking, healthcare, government	Regulated firms at scale

Read next: Cloud Agnostic Development: Essentials, Pros & Cons and Best Practices 

How to deploy multicloud: 7 steps

1. Assess application compatibility

Not all applications are suitable for hybrid multicloud environments, particularly legacy systems developed before these architectures became mainstream. More than 70% of enterprises identify managing a multicloud environment as one of their top challenges, with compatibility issues being a primary concern.

According to a recent Claudera report, legacy IT is the reason of delayed adoption across enterprises. Legacy applications also often experience inconsistent performance, with some components functioning normally while others struggle behind load balancers or face integration challenges. Before any data migrations, conduct thorough compatibility assessments with your application vendors to identify:

Read next: Migrating Legacy Applications to the Cloud: 7 Success Strategies

2. Map data flows and residency requirements

Most multicloud cost surprises come from moving data rather than running it. Egress charges apply every time data leaves a provider, and a chatty service that calls across clouds hundreds of times a minute can end up costing more than the workload it supports.

Before placing anything, draw the actual flows: which datasets sit where, which services read them, how often, and in which direction. Tightly coupled pairs belong on the same provider. Scheduled batch transfers can cross safely.

Residency runs alongside this. Personal data under GDPR, financial records and patient data all carry rules about where they can be stored and who can reach them, and those rules settle placement before any performance argument enters the room. Classify each dataset against its regulatory obligations at this stage. Moving a regulated dataset after go-live means a migration project, a new impact assessment and a conversation with your regulator.

3. Prepare network infrastructure

Hybrid multicloud strategies significantly increase network demands as data flows between multiple providers and infrastructure types. With unplanned downtime now averaging $14,056 per minute, rising to $23,750 for large enterprises, network performance becomes mission-critical.

Key infrastructure considerations include:

• Latency optimisation: Implement content delivery networks and edge computing to minimise delays
• Bandwidth capacity: Ensure sufficient capacity for cross-cloud data transfers
• Network security: Deploy consistent security protocols across all connection points
• Redundancy planning: Build multiple pathways to prevent single points of failure

Conduct comprehensive testing to identify bottlenecks and upgrade requirements before full deployment.

4. Design tiered storage

Storage architecture represents both a major opportunity and potential pitfall in hybrid multicloud implementations. Organisations often fail to optimise storage across providers, leading to unnecessary costs and performance issues.

Develop a tiered storage strategy that leverages each provider's strengths:

• Hot storage: Frequently accessed data on high-performance, low-latency platforms
• Warm storage: Moderately accessed data on cost-balanced solutions
• Cold storage: Archive data on the most economical long-term storage options
• Edge storage: Localised data for improved user experience and compliance

Consider data sovereignty requirements and implement automated lifecycle policies to optimise costs continuously.

5. AI workload placement

AI has become a driver of multicloud in its own right, and it pulls both ways.

Models perform better with access to data held in different environments, which pushes organisations to make data reachable across providers rather than consolidate it with one. Cost and governance push back. Forrester expects at least 15% of enterprises to move toward private AI running on private clouds during 2026, driven by rising AI costs, data lock-in and operational risk.

A Cloudera survey of 1,500 enterprise architects and infrastructure leads points the same way: two-thirds had already moved AI workloads out of public cloud into on-premises or private environments, and 84% said AI workloads had raised their infrastructure costs.

The result is a hybrid multicloud estate shaped by where data is permitted to sit and where inference is affordable, rather than by a single provider decision. Teams heading this way need governance and cost visibility across the whole data landscape from the start. Retrofitting it later is what turns AI pilots into stalled projects.

Read next: AI Development Cost in 2026: CFO’s Breakdown

6. Standardise identity and access

Access control is where multicloud quietly breaks. Each provider has its own identity model, its own permission syntax and its own idea of what a role means. Teams that let each cloud manage its own users end up with permissions nobody can audit, orphaned accounts belonging to people who left, and no single answer to the question of who can reach a given dataset.

Pick one identity provider and federate everything to it. Engineers authenticate once and inherit permissions across every cloud from a single source. Workload identity follows the same rule: services authenticate to each other through short-lived credentials issued centrally, never through static keys copied into config files.

Then define your roles in code. Permissions expressed as version-controlled policy can be reviewed, tested and rolled back. Permissions clicked into three separate consoles cannot, and they drift within weeks.

7. Build the operating model

Architecture decisions get most of the attention. Operating decisions determine whether the architecture survives its first year.

Who runs it

• A platform team owns cloud infrastructure across all providers, and product teams consume it through shared DevOps standards
• Common rules for networking, identity and deployment stop the estate fragmenting into three incompatible clouds
• Product teams do not each negotiate their own hyperscaler relationship

FinOps ownership

• Name an owner with a real mandate covering tagging, chargeback and the authority to challenge architecture on cost grounds
• Consolidate billing into one view, since each provider reports on its own format and cycle
• Reporting into the CFO works better than reporting into engineering, because the role needs independence from the teams whose spend it questions

On-call across providers

• Keep at least two engineers per provider who can debug it under pressure at three in the morning; one is a single point of failure wearing a pager
• Document who declares an incident and who contacts which provider's support
• Agree the escalation path for faults sitting between two clouds that neither provider will claim, which is what turns a two-hour outage into a two-day one
• If the rota maths does not work, managed services and 24/7 support is usually more affordable than hiring for depth you need twice a year

Advantages of a multicloud strategy

Storage economics

Working with more than one provider gives you a wider range of storage tiers to place data against. Latency-sensitive data sits on high-performance storage with whichever provider serves it fastest in the relevant region. Archives that are read twice a year go wherever cold storage is cheapest.

Management and portability

Two things sit behind multicloud management: keeping applications able to move between providers, and running the estate day to day through consistent monitoring and control.

Done well, teams deploy through one pipeline, observe through one dashboard, and shift workloads when pricing or performance changes. That portability is also what makes a credible exit plan possible, which matters commercially at renewal and legally under DORA.

Resilience

Multicloud is the only architecture that survives a full provider outage. If one goes down and your critical services already run elsewhere, work continues.

This is the advantage that has strengthened most recently. Forrester expects at least two major multiday cloud outages during 2026, and the 2025 AWS and Azure incidents showed how far dependencies extend beyond the failing service itself. For payment processing, trading and booking systems, that resilience is worth paying for. For an internal reporting tool, it is not.

Disadvantages of multicloud strategy

Every advantage above is entangled with a cost, and the costs land on people and process more than on technology.

The complexity

A basic single-cloud setup can be run by a competent generalist. A multicloud estate cannot. Managing one well needs a team of skilled platform engineers, so the labour cost has to sit alongside the infrastructure saving in any business case. Teams that count only the second number are the ones who end up disappointed.

Even experienced teams find these systems hard to keep in good shape. Optimisations found in month one drift by month six unless someone owns them continuously. Without that attention, costs rise, issues multiply and performance drops back below where a single provider would have left you.

Gartner expects more than half of organisations to miss the results they wanted from multicloud by 2029, citing interoperability between environments as the constraint. The same research puts 25% of organisations at significant dissatisfaction with cloud adoption by 2028, driven by unrealistic expectations, weak implementation and uncontrolled costs.

Read Next: AI Cloud Setup vs On-Premise vs Hybrid: Pros and Cons

Where multicloud commonly breaks

Most companies already use more than one cloud provider. However, multicloud architectures can lead to a variety of challenges. The infographic below illustrates how for 57% of companies, multicloud strategy causes siloed apps on different clouds as well as failover between clouds (49%). Other notable challenges include data integration problems, experienced by almost half of the companies (45%) and workload mobility problems between cloud platforms.

Partner with Dreamix for your multicloud journey

Navigating the complexities of multicloud implementation requires more than just technical expertise - it demands a deep understanding of business strategy, cloud architecture, and emerging technologies. As an experienced software development company with extensive cloud expertise, Dreamix serves as a trusted partner that businesses can rely on to make the right strategic decisions for their unique needs.

Our team combines years of hands-on experience across AWS, Microsoft Azure, Google Cloud Platform, and other leading providers with a proven track record of successful multicloud implementations. We understand that every organisation's cloud journey is different, which is why we take a consultative approach to help you evaluate whether a multicloud strategy aligns with your business objectives, technical requirements, and long-term growth plans.

How to decide between a single-cloud or multicloud deployment

Six questions settle most of this. Work through them with your platform lead and your CFO in the room, because the answers are split between them.

1. Regulatory obligation

Go multicloud if e.g.you are a financial entity in scope of DORA, a UK firm dealing with a designated critical third party, or an APRA-regulated institution. Concentration risk assessment and a tested exit strategy are obligations, and portability has to be designed years before you need it.

Stay single if you carry no concentration exposure and no regulator is asking how you would leave your provider.

2. Workload criticality

Go multicloud if an hour of downtime costs more than a year of running the second environment. Payments, trading, booking and dispatch systems usually clear this bar.

Stay single if your most critical workload can absorb a provider outage on the provider's recovery timeline. Most internal systems can.

3. In-house platform skills

Go multicloud if you have a platform team and at least two engineers per provider who can debug it under pressure.

Stay single if cloud infrastructure is owned part-time by people whose main job is something else. Hire first, then decide. This is the criterion most often skipped and the one that causes the most damage.

4. Egress cost exposure

Go multicloud if your workloads separate cleanly, with limited chatter across the boundary. Batch transfers and independent services are fine.

Stay single if your architecture is tightly coupled and services call each other constantly. Egress will erase the savings and then some. The data flow map from step 2 gives you the answer.

5. Provider-specific service dependency

Go multicloud if the capability you need is materially better somewhere else. BigQuery for analytics and specialist GPU capacity for AI training are the common cases.

Stay single if you are deep into one provider's managed services. Re-platforming to gain optionality is a large project justified by leverage you may never use.

6. Acquisition history

Go multicloud if you are already there through acquisitions and shadow IT. That estate needs governing whether or not you chose it. Formalising it beats pretending it does not exist.

Stay single if consolidation is genuinely achievable at reasonable cost. Some accidental multicloud estates are worth collapsing rather than governing.

Where multicloud is heading

The direction of multicloud is set by regulation rather than business preference. DORA has applied across the EU since January 2025 and the UK critical third parties regime runs alongside it, both requiring regulated firms to assess concentration risk and hold a tested exit strategy for any provider supporting a critical function.

The EU AI Act adds a second layer for anyone running AI in production, with logging and documentation obligations that make the location of training data and inference records a matter of record rather than preference. Portability and traceability have both moved from architectural nice-to-haves to things a supervisor can ask you to demonstrate. For firms in scope, the question is how long that work takes once they start, and the answer is usually longer than anyone plans for.

FAQ regarding multicloud: