Amazon Web Services (AWS) is a global infrastructure platform built on the IaaS (Infrastructure as a Service) model.
In practical terms, instead of physical servers, businesses access resources through APIs:
virtual machines (compute)
networking
data storage
load balancing
The entire infrastructure is deployed as code and managed programmatically, without dependence on specific hardware, so this is a deeper question than simply hosting in the cloud. We don't just host a site — we build a system that grows with the business.
If you currently:
feel that your servers can't handle peak loads
overpay for resources kept in reserve
are planning to scale or expand internationally
are building an eCommerce store or a complex digital product
AWS: what the technology actually changes for your business
AWS is often seen as a set of services: EC2, S3, RDS, Load Balancer. But what matters more to a business is how it affects costs, stability and growth.
Scaling without limits
In a classic infrastructure setup, a business is always playing catch-up: how many servers are needed, what the peak will look like, and whether the system will hold up on Black Friday. As a result, companies typically buy or rent capacity with a margin of safety — and that reserve sits idle most of the time, while you still pay for it.
With Amazon Web Services, the logic is different. Infrastructure becomes a managed process rather than a static resource.
When auto-scaling is set up, the system continuously monitors the project's state: CPU load, the number of concurrent requests, processing speed, queues.
And then the key thing happens:
when load increases, new instances spin up automatically
when the peak passes, excess resources are shut down
when traffic returns to normal, the infrastructure scales back down
There is an important point that often gets underestimated.
Even if you have caching set up on Magento — Varnish, for example — that doesn't eliminate the need for scaling.
Cache reduces the number of heavy requests to Magento, but:
some requests still reach the backend
checkout, APIs and logged-in users aren't cached
peak loads create queues even with good caching in place
In other words, caching reduces the load, but doesn't remove it entirely. This is exactly where auto-scaling solves a different problem — it doesn't optimize requests, it guarantees the system can handle them at any moment.
As a result, the business pays only for what it actually uses right now. That's one of the key shifts.
Stability under load
For eCommerce, peak periods are critical: promotions, sales, launches.
AWS lets you:
distribute traffic across servers
avoid overload
keep the site running stably
The business doesn't lose sales due to technical limitations.
Global availability
Amazon Web Services has data centers located around the world. But what matters isn't the number of them — it's the effect on your project.
When infrastructure is closer to the user, the site runs faster: fewer delays, a more stable experience, better conversion. This matters especially when entering new markets, once your audience is no longer in a single country.
Global infrastructure lets you build fault-tolerant systems: if one region becomes unavailable, traffic can be redirected to another without taking the site down.
As a result, infrastructure doesn't limit your business's geography, and entering new markets doesn't require rebuilding the system.
Cost control
One of AWS's key advantages is its flexible pricing model.
A business can:
pay only for the resources it uses
optimize spending against actual load
scale without large upfront investments
Infrastructure becomes a predictable part of the financial model.
What an AWS infrastructure for eCommerce looks like technically: common questions
Why isn't caching inside AWS enough?
In a typical AWS project, the infrastructure consists of several key components:
application servers (Magento, for example)
a database
load balancing
file storage
In simplified form: User --> Load Balancer --> Magento --> database
This model scales well. But this is exactly where the main source of cost comes from, since almost every request reaches Magento.
Even a repeat page view, a bot, or static content — all of it loads the CPU, memory and database, and directly affects your AWS bill.
To reduce the load, caching (Varnish, for example) is added to Magento. It does reduce the number of requests to the backend. But it still operates within the same infrastructure.
This means it:
uses the same resources
scales along with the servers
doesn't remove the load entirely
So as traffic grows, costs still grow with it.
What does an edge layer change for AWS?
When Cloudflare sits in front of AWS, the request-handling model changes.
User → Cloudflare → AWS → Magento
But here's the key part: some requests are handled before they ever reach AWS. This means:
less load on the servers
fewer database queries
less resource usage
and, as a result, lower AWS costs
In effect, you're scaling the cache, not the servers.
When can AWS be overkill?
AWS isn't a one-size-fits-all solution. If a project is small, has stable load, and no plans to scale, a complex cloud architecture can be unnecessary. In these cases, it's important not to overcomplicate the system without a reason.
Where AWS delivers the most value in practice: who uses it
In practice, this architecture is most valuable in a few typical scenarios, and they're almost always tied to specific business models.
eCommerce with peak loads.
When traffic arrives in waves, the infrastructure has to handle sharp spikes.
This is typical for businesses like:
apparel and footwear brands (seasonal collections, sales)
electronics retailers (new product launches, promotions)
cosmetics brands (influencer campaigns, promos)
marketplaces with thousands of users online at once
In scenarios like these, Black Friday or a major ad campaign carries a real risk of lost sales if the infrastructure can't keep up.
Fast-growing businesses.
When a product or brand takes off, the infrastructure shouldn't hold back growth.
This is a common scenario for:
D2C brands scaling aggressively through advertising
startups and subscription-based SaaS products
online services (delivery, booking, service platforms)
eCommerce projects moving from small to mid-size
Here, it matters that the system doesn't break under growth — it needs to scale along with it.
International projects.
When a business operates in multiple markets at once, the infrastructure needs to deliver a consistent experience for users in different countries.
This is relevant for:
Ukrainian brands expanding into Europe or the US
eCommerce stores with multi-currency support and localization
B2B companies with clients in different countries
digital products with a global audience
In these cases, speed and availability become part of the competitive advantage.
Complex digital systems
When the website is just one part of a larger ecosystem.
This is typical for:
retailers with their own warehouse systems, manufacturers with ERPs (accounting, logistics, finance)
B2B platforms with customer accounts, companies with multiple sales channels (website, mobile app, marketplaces)
Here, what's critical isn't just page speed but the stability of the whole system, where any failure affects business processes.
Our approach at Planeta Web to building infrastructure
We always start with a deep analysis of the business:
how infrastructure affects costs, stability and scalability
AWS and Cloudflare are tools. And they only make sense when they solve your specific problem.
So we:
analyze the load and current architecture
identify where costs are being wasted
design infrastructure for real-world scenarios
set up caching and the edge layer
optimize costs after launch
Planeta Web builds solutions that work efficiently for your specific business, across any scenario and ambition.
Reasons to choose Planeta Web
A team of 80+ experts
Certified back-end and front-end
developers and project managers.
Experience since 2010
We've grown from UI/UX design into comprehensive digital solutions.
Trusted by major brands
From retail chains to international companies.