Cloud for e-commerce and retail peaks
Retail and e-commerce
What breaks first in a sale? In most stores it is the database connection pool, the session cache or the payment handoff, not the web tier. We load-test those paths against a forecast built from your campaign calendar before the sale date, not after the first outage.
How do you size for a peak you have never seen? Start from the marketing plan: expected visitors, conversion, the share that reaches checkout and the promotion windows. Then size the autoscaling tiers with headroom, and set a cost ceiling so that a traffic surge does not become an open-ended invoice.
What does the bill look like after the peak? Scale-in and right-sizing should happen on a schedule you write down. CDN and database spend are reviewed per event. The OnnoRokom engagement absorbed 8 times normal peak traffic and cut CDN cost by 40 percent in that case, an upper-bound figure, not a promise for your store.
If you take cards, what is in scope? The cardholder-data boundary. If a hosted payment page holds the card data, the design says so and the audit pack records it. PCI DSS is the card-industry standard we build toward; we are not certified against it and do not claim a PCI DSS certificate.
Who answers when checkout is down? Managed operations run 24×7 for in-scope infrastructure, with a named technical account manager on managed engagements. Response minutes are written into the contract. Marketing pages describe coverage; contracts describe minutes.
- Peak: load-test before the sale, against a forecast from the campaign calendar.
- Payments: name the system that holds card data and keep it out of the storefront tier.
- Bill: review CDN and database cost per event, and set scale-in rules in advance.
- We do not claim: a public price list, uptime percentages, or a zero-downtime promise.
The industry map row for this sector
| Industry | Architecture pattern | Data-location stance | Published case study |
|---|---|---|---|
| Retail and e-commerce | Autoscaling compute, managed database, CloudFront; quoted per scope, not a SKU table | Same regions; payment boundary only if you take cards | E-commerce peak traffic (OnnoRokom) |
Case studies name their clients. For e-commerce, the client is OnnoRokom. Figures are representative of past engagements.
Frequently asked questions
Can you handle campaign spikes?
Yes, with autoscaling application tiers and CloudFront in front. The OnnoRokom case reports 8 times normal peak traffic absorbed. We plan from your own forecast, not that figure.
Which cloud suits a high-traffic store?
Elastic compute, a managed database and a CDN. We build that on AWS with CloudFront and quote it per scope. We do not publish a public SKU table.
What cloud should a growing retail startup pick?
AWS has the widest service range for most product companies. Google Cloud is the usual choice when data and AI are central. AWS funding programs may apply; eligibility is AWS's decision.
Do you hold a PCI DSS certificate for shops?
No. If the store takes cards, the cardholder-data boundary applies. We build to PCI DSS readiness and claim no certificate.
This page is not legal advice. Taxes apply as applicable in your jurisdiction and the contract. Confirm the customer-data and payment requirements that apply to you with your counsel and compliance team.