Cloud Architecture
Choosing Between AWS, Azure, and Google Cloud
By ThinkingLab · · 7 min read
AWS, Microsoft Azure, and Google Cloud are all mature, capable platforms. For most organizations, any of them can run the workload. The better question is which one fits your team, your customers, and your operating model — and how to avoid regretting the choice later.
Start with your context, not feature lists
Feature comparisons change constantly and rarely decide the outcome. The factors that matter most are usually stable: the skills your team already has, the systems you already depend on, what your customers require, and where your data must reside.
Questions that usually decide the choice
- Team skills: which platform do your engineers already know well? Retraining has real cost.
- Existing ecosystem: organizations heavily invested in Microsoft identity and productivity tools often find Azure integration simpler.
- Customer requirements: enterprise customers sometimes prefer or require a particular provider.
- Data and AI services: compare the specific managed services you need, not the platform as a whole.
- Data residency: confirm the regions and compliance attestations relevant to your jurisdiction, such as Canadian data residency.
- Commercial terms: startup programs, committed-use discounts, and marketplace channels can be significant.
Multi-cloud is a cost, not a default
Running across several clouds can reduce dependence on one vendor, but it adds operational complexity, duplicated skills, and harder security management. For most small and medium organizations, a well-designed single-cloud architecture with portable application code is the more practical choice.
Designing for flexibility
You can reduce lock-in without going multi-cloud: use infrastructure as code, containerize where it makes sense, keep business logic separate from provider-specific services, and document the decisions where you deliberately accept lock-in for speed or cost.