Choosing a Cloud Provider for a Global Business

Choose the provider with a region close to your users, terms your regulator accepts and a console your team can already drive. Those three tests decide almost every case, and they rarely point at whichever platform is winning the current news cycle. Price comes fourth, because on the services a mid-sized business actually buys, the three major providers are close enough that the difference is swamped by how well you run the thing.

Start with your users, not the brand

Latency is felt by people, not measured in abstract. A customer in Johannesburg loading an application hosted in Virginia pays for every round trip, and a chatty application makes dozens of them before the page settles. Map where your users and staff actually are, in rough percentages, then look at which providers have a region in or near those places.

Do it with real numbers rather than instinct. Your analytics already know where your traffic comes from. If 70% of it is in Western Europe and 20% in South Asia, the shortlist writes itself, and a provider with twice as many regions in North America gains you nothing.

The market, in numbers

Market share is not a reason to pick a provider, but it tells you something about ecosystem depth, hiring and how long the services you depend on are likely to exist. Synergy Research Group reported in July 2026 that quarterly enterprise spending on cloud infrastructure services reached USD 143.4 billion in Q2 2026, up by more than USD 43 billion year on year and the highest growth rate in eight years, with trailing twelve-month revenues at USD 500 billion.

Two things in that release matter more than the ranking. Amazon still leads while Microsoft and Google grow faster, which means the gap narrows every quarter rather than the order changing. And the tier-two providers with the strongest growth are increasingly AI-centred specialists rather than general-purpose clouds, so if your workload is ordinary web and database work, the big three remain the sensible shortlist.

Footprint: regions, zones and what they buy you

A region is a geographic area containing multiple isolated data centres, which AWS calls availability zones and Google calls zones. The distinction matters because surviving a single data centre failure means spreading across zones, which is cheap, while surviving a regional failure means a second region, which is not. AWS documents that each of its regions has at least three availability zones; Google states that its regions consist of three or more zones.

Microsoft’s own documentation is worth reading rather than skimming here, because not every Azure region offers availability zones and some regions are paired while others are not. Those details decide whether your resilience design works, and they vary region by region on every provider. Check the specific region you intend to use, not the global headline.

Data residency and the rules that actually bind you

Residency rules are where a technically sound choice becomes a commercially impossible one. The pattern to follow is simple: write down, in one sentence per dataset, where that data is permitted to be stored and processed, and who is permitted to access it. Then check each candidate region against that sentence before you build anything.

• Personal data from EU residents brings obligations about transfers outside the EU and about which supplier terms you sign. All three providers offer EU regions and standard contractual terms; the work is picking the region and recording the decision.
• Regulated sectors often add requirements on top: specific certifications, named regions, or a right for a regulator to audit. Ask for the provider’s current attestation documents rather than trusting a marketing page.
• Public sector contracts sometimes require sovereign or government regions, which are a different set of regions with a different service catalogue and different prices.
• Backups count. A recovery copy in another country is still a transfer. We have seen more compliance problems created by disaster-recovery design than by production design.

Eudora Technology works remotely across borders, so this question comes up on nearly every engagement. The practical advice is unglamorous: decide residency first, pick the region second, and write both down in a place your future auditor will find. Retrofitting residency onto a live system is among the most expensive remediation work there is.

Cost predictability and the egress question

Cloud bills surprise people in three places: data transfer out, storage that nobody deletes, and environments nobody switched off. Of those, egress is the one that differs most between providers and the one most often missed in a comparison spreadsheet, because it does not appear until customers start using the thing.

AWS publishes an allowance worth knowing: 100 GB a month of data transfer out to the internet free of charge, aggregated across all services and regions, with tiered rates above that. The same page notes that customers in the EU may request reduced data transfer rates for eligible cases under the European Data Act, which is a genuinely new lever and one most buyers have not asked about.

• Model egress from real traffic. Average page weight times monthly page views is a rough but honest start.
• Put a content delivery network in front of anything heavy. Images and downloads served from cache cost less and load faster.
• Watch inter-region and inter-zone transfer. Chatty services split across zones can generate more internal traffic than customer traffic.
• Set billing alerts on day one. Every provider offers them and nobody enables them until after the first shock.

Commitment discounts are the other half of predictability. All three providers will cut compute rates substantially in exchange for a one or three year commitment, and that is usually the largest single saving available to a steady workload. Do not commit in month one. Run for a quarter, see the shape of your usage, then buy the commitment that matches the floor rather than the peak.

Match the platform to the team you have

The best platform is the one your people can operate confidently at two in the morning. If your team already administers Microsoft 365 and Entra ID, Azure removes a whole category of identity work. If your developers live in Linux and open source tooling, AWS or Google Cloud will feel natural. If your analytics work is the centre of the business, Google’s data stack is a genuine pull.

Price the learning curve explicitly. Two engineers spending a month becoming competent on an unfamiliar platform is a real cost, and it recurs every time someone leaves. We have moved clients from a technically better platform to a slightly worse one purely because the second one matched the skills in the building, and the outcome improved.

Architecture choices interact with this. A managed runtime removes most of the platform-specific operations work, which is one reason serverless suits small teams. Containers keep you portable across all three, which our Kubernetes piece covers in detail, including the parts that do not travel as cleanly as the marketing suggests.

A scoring sheet you can fill in this week

Here is the sheet we use. Score each provider from one to five on each row, weight the rows according to your business, and the winner is usually obvious before you finish. The point is not the arithmetic; it is that the conversation becomes explicit instead of a preference contest.

1. Proximity to users. Is there a region within acceptable latency of your two biggest user populations?
2. Residency fit. Does a permitted region exist for every dataset, including backups?
3. Team familiarity. Could your current team run this in production next month?
4. Managed services you need. Database, queue, identity, search. Count the ones you would otherwise run yourself.
5. Cost predictability. Can you forecast and cap spend, and do commitment discounts fit your usage shape?
6. Exit cost. If you had to leave in two years, what would that take? Portable formats and container images lower this score for everyone.

One more rule, learned the hard way. Do not split a small workload across two providers to hedge. You double the operational surface, the identity model and the monitoring, and you halve the attention each gets. Multi-cloud is a legitimate strategy for specific regulatory or acquisition reasons; it is a poor default for a business with one platform team.

Working with us from anywhere

Eudora Technology is a remote-first provider. We work with clients across several time zones, and everything in this article is delivered without a site visit: our cloud solutions service covers provider selection, region and residency decisions, migration planning and the ongoing cost review that keeps the bill honest. We are not a reseller for any platform, so the recommendation is based on your situation rather than our margin.

Before you migrate anything, settle the recovery question too. Four cloud disaster-recovery patterns by budget covers what a second region costs and why the pattern you pick should come from your downtime tolerance rather than from a product page. Clients who need on-site work in Sri Lanka are served by our local sister operation at eudora.lk.

Weighing providers for a business with users in several countries? We will score the options against your traffic, your residency rules and the skills you already have. Get in touch with Eudora Technology to talk about your project.