For most businesses the right answer is one primary cloud, learned properly, plus a cheap second home for backups and DNS. Running two live production estates is a real strategy, but it is a strategy for teams with a platform engineer and a reason they can say in one sentence. If your reason is a vague worry about lock-in, you will pay twice for the privilege of being worried.

What people actually mean by multi-cloud
Three different things get called multi-cloud, and they carry very different bills. Hybrid means some workloads on your own hardware and some in a public cloud. Multi-cloud means more than one public cloud provider. Multi-vendor SaaS, which almost everyone has, means your email is with one company and your CRM with another, and it is not an infrastructure strategy at all.
Flexera’s 2026 State of the Cloud Report is the useful reference point here: 73% of organisations operate hybrid estates, three percentage points up on the previous year, multi-cloud adoption climbed by two points, and 14% run multi-cloud with no private cloud footprint. The same research estimates 29% of IaaS and PaaS spend is wasted, which is worth holding in mind before you add a second place to waste it.
Scale context matters too. Synergy Research Group put Q2 2026 cloud infrastructure spending at $143 billion, growing 43% year on year, with AWS at 28%, Microsoft at 20% and Google Cloud at 15%. Those three hold roughly two thirds of the market, which is why their tooling, documentation and labour markets are so much deeper than everyone else’s. Choosing one of them as your primary is not laziness, it is leverage.
Four reasons a second provider earns its place
There are four reasons we accept without argument, and one we push back on.
- Law or contract. A regulator, a public-sector framework or a customer contract names a jurisdiction or a provider. This is not negotiable and it is common in health, finance and government supply chains.
- A specific service you cannot get elsewhere. A particular analytics warehouse, a GPU fleet with availability, a managed database with a feature your application depends on.
- An acquisition or a merger. You inherited an estate. Running two for eighteen months while you consolidate is sensible, and pretending otherwise causes outages.
- Backups and DNS sitting outside the primary. This is the cheap, high-value case: a copy of your data and your name resolution somewhere your main provider’s bad day cannot reach.
The reason we push back on is abstract lock-in fear. It was a stronger argument when leaving meant paying for every gigabyte on the way out. AWS announced in 2024 that it waives data transfer out to the internet for customers moving off the platform, applied through a support request, and Google Cloud published a comparable programme. Add the European Commission’s Data Act, in application since September 2025, and the exit door is cheaper than the permanent cost of running two estates badly.

What the second provider really costs
The compute bill is the part people model, and it is the smallest part of the difference. Everything below has to be duplicated or bridged, and each one needs an owner.
| What gets duplicated | One provider | Two providers | Why it hurts |
|---|---|---|---|
| Identity and access model | One set of roles and policies | Two, kept in step by hand or by tooling | Drift between them is how over-permissive access appears |
| Monitoring and alerting | One dashboard, one on-call runbook | Two, plus a correlation problem | Alert fatigue and missed incidents |
| Infrastructure as code | One set of modules | Two dialects of the same intent | Changes land in one place and not the other |
| Team skills | Depth in one platform | Half the depth in two | Incidents take longer when nobody is fluent |
| Data movement between clouds | Mostly in-region, often free | Billed as internet egress at roughly $0.087 to $0.09 per GB | Chatty cross-cloud services get expensive quietly |
| Compliance evidence | One audit trail | Two sets of evidence per control | Audit effort roughly doubles |
Work a quick example. A service in provider A that calls a database in provider B a hundred times a minute, shifting 2 KB a call, moves roughly 8.6 GB a month. That is trivial. Now replicate a 500 GB dataset nightly between them and you are moving about 15 TB a month, which at $0.087 per GB is in the region of $1,300 a month before anything useful happens. Architecture decides whether multi-cloud is affordable.
Multi-cloud does not fail on technology. It fails because one of the two estates stops getting attention in month four.
Resilience: find the single points you actually have
Before buying provider-level redundancy, check the failures you are actually exposed to. Amazon’s Compute Service Level Agreement commits to 99.99% at region level only when your instances run across two or more Availability Zones, and 99.5% for a single instance. Most small estates we review are running single-zone, single-instance workloads and worrying about provider outages. Fixing the zone problem is a day of work and improves your odds far more than a second provider.
- Your domain registrar: lose that account and nothing resolves, whatever cloud you use.
- Your DNS provider: a separate decision from your hosting provider, and worth making separately.
- Your identity provider: single sign-on is a lovely single point of failure.
- Your CI pipeline and code host: if you cannot deploy, you cannot recover.
- One administrator account with no multi-factor authentication.
Multi-region inside one provider handles most disaster scenarios, with one set of skills and one bill. Multi-provider handles the rarer case of a provider-wide control plane failure, and it only helps if the standby is tested. An untested standby in a second cloud is an expensive way to feel better.
Portable by default, without the purity test
You can keep your options open without refusing every managed service, which is the mistake purists make. Containers and Kubernetes give you a common runtime: the Cloud Native Computing Foundation’s annual survey reports 82% of container users running Kubernetes in production, so the skills and tooling are widely available. Standard databases such as PostgreSQL and MySQL run as managed services on every major platform, which means the engine stays portable even when the hosting does not.
- Script your infrastructure. If rebuilding takes a week of clicking, you have no exit regardless of how portable the technology is.
- Keep data exportable. Standard formats, documented schemas, a tested export you have actually run once.
- Use managed services deliberately. A managed queue or database saves real money; a proprietary workflow engine woven through your business logic is harder to leave.
- Write the exit paragraph annually. Where would we go, what would move, what would be rebuilt, how long, how much? One page, reviewed each year.
Three patterns that work
One cloud, offsite backups
The default we recommend for international small and mid-sized teams.
- One set of skills and one bill to understand
- Backups survive a compromised primary account
- Cheapest path to a credible recovery story
- No protection against a provider-wide control plane failure
- Still needs multi-zone design to hit 99.99% commitments
Primary plus warm DR elsewhere
Worth it when a day of downtime is genuinely existential.
- Survives a provider-level failure if the standby is exercised
- Satisfies auditors who ask about concentration risk
- Roughly doubles platform engineering effort
- Cross-provider replication is billed as internet egress
- Standbys rot unless someone fails over on purpose each quarter
Split by capability
Honest about the cost, chosen for a named capability rather than a feeling.
- Access to the one service you genuinely need
- Commercial leverage at renewal time
- Two audit trails, two identity models, two on-call rotas
- Cross-cloud data movement needs designing, not assuming

Whichever pattern you pick, write down who owns it and what the quarterly test looks like. We help international clients make this call remotely as part of our cloud solutions work, and the three posts worth reading alongside it are backup and recovery, the shared responsibility model and whether serverless suits your application, since serverless choices are where portability is usually traded away first.
Frequently asked questions
Does multi-cloud make us more reliable?
Only if the second estate is tested. Most outages that affect small businesses are single-zone or single-instance failures, and Amazon’s own SLA only offers 99.99% when you deploy across two or more Availability Zones. Fix that first. Provider-level redundancy is the expensive answer to a rarer problem.
Is lock-in still a serious risk?
Less than it was. AWS waives internet egress for customers leaving the platform and Google Cloud runs a similar programme, and the EU Data Act has applied since September 2025. The lock-in that still bites is proprietary services buried in your business logic and a team that only knows one console.
How much does cross-cloud traffic cost?
It is billed as internet egress on both sides of the conversation. Azure lists $0.087 per GB after the first 100 GB free from North America and Europe, and AWS uses $0.09 per GB in its own examples. A nightly 500 GB replication is roughly 15 TB a month, which is around $1,300 at those rates. Keep chatty traffic inside one provider.
We are on Microsoft 365 and AWS. Is that multi-cloud?
That is multi-vendor SaaS plus one infrastructure provider, which is normal and sensible. The question only becomes a multi-cloud decision when you start running the same kind of workload in two infrastructure providers and have to keep identity, networking and monitoring in step.
Can you support an estate spread across two providers?
Yes, and we will tell you honestly if the second one is not earning its keep. We work remotely with international clients, so reviews, builds and incident support happen in your own accounts and on your schedule.
Not sure whether to consolidate or spread out? Describe your estate and we will give you a straight recommendation. Get in touch with Eudora Technology to talk about your project.
Sources
- The new era of cloud: what 2026 data tells us about spend, scale and strategy
- Q2 Cloud Market Passes $143 Billion; Highest Growth Rate in Eight Years
- The CNCF Annual Cloud Native Survey
- Amazon Compute Service Level Agreement
- Bandwidth pricing (data transfer)
- Free data transfer out to internet when moving out of AWS



