Most enterprise IT leaders will face this question at some point. Do you put all your cloud workloads with one provider, or spread them across two or three? There’s no universal right answer, so here’s what actually drives the decision and how to get it right.
Where a Single Cloud Provider Makes Sense
For small to mid-size businesses with relatively simple IT needs, consolidating everything under one cloud provider is often the smartest move. If your team is already deep into one ecosystem, say Microsoft 365 or Google Workspace, there’s a strong argument for keeping storage, compute and collaboration tools in the same place.
You’ll get tighter integration between services, fewer compatibility headaches, and usually better volume pricing. Your IT team only needs to learn one set of admin tools and one billing structure.
There’s also less room for misconfiguration. The UK’s National Cyber Security Centre (NCSC) makes clear in its cloud security guidance that the shared responsibility model between provider and customer is where most incidents originate, and it’s easier to stay on top of that boundary when you’re only managing one vendor relationship.
The Lock-In Problem
The downside of going all-in with one provider is concentration risk. If that provider has an outage, your entire operation can stall. And if you ever want to move, you’ll find that your data, workflows and integrations are deeply tied to proprietary formats and APIs.
Switching costs aren’t just financial. Enterprise-scale migrations away from a single hyperscaler can take anywhere from several months to a couple of years, and complex regulated environments are at the longer end.
The CMA’s investigation into UK cloud services flagged exactly this concern, singling out egress fees and technical barriers that make switching hard, though it stopped short of imposing remedies and its proposed next steps remain unresolved.
When Multi-Cloud Is Worth the Complexity
Multi-cloud is no longer a fringe choice.The overwhelming majority of UK organisations now operate in hybrid or multi-cloud environments, and it’s especially common in regulated industries. If you’re dealing with UK GDPR data residency requirements, or DORA obligations for financial firms, you might need to store certain data in specific jurisdictions, and no single provider covers every region equally well.
There’s also the best-of-breed argument. One provider might offer stronger AI tooling, another a better managed database service. Spreading workloads lets you pick the right tool for each job.
Businesses with strict uptime requirements benefit too. If one provider goes down, critical workloads can fail over to another.
How Businesses Are Splitting Workloads in Practice
One increasingly common pattern is using a hyperscaler like AWS or Azure for general compute, while routing sensitive data through a specialist provider with stronger privacy controls.
This is where enterprise cloud storage providers built around encryption and data protection tend to fit in, particularly for firms handling confidential client files, legal documents or healthcare records where the default controls of a hyperscaler aren’t enough.
The key is to be intentional about which workloads go where. Personal data, trade secrets and anything carrying regulatory obligations are the workloads most often routed to a provider with stronger native encryption and access controls.
How to Structure a Practical Multi-Cloud Setup
If you do go the multi-cloud route, CIOs who’ve done it successfully tend to prioritise a few basics:
- A clear workload allocation policy that spells out which data and applications go to which provider.
- Consistent identity and access management across all platforms, ideally through single sign-on (Entra ID, Okta or similar).
- Centralised monitoring and logging so your security team isn’t jumping between three different dashboards.
- Regular cost reviews, because multi-cloud billing can spiral fast if nobody’s watching egress fees. The EU Data Act will remove switching charges from January 2027, which is worth factoring into procurement timing.
Without these basics, multi-cloud creates more risk than it removes.
Match the Strategy to the Workload, Not the Trend
There’s no prestige in running a multi-cloud setup if your business doesn’t need one. Equally, there’s real risk in putting every egg in one basket when your data demands more protection, or your uptime requirements leave no room for single points of failure.
The CIOs who get this right start with a clear-eyed assessment of what they actually need. They map their workloads, identify where the real risks sit and build their strategy around that.
