SOLUTIONS / E-COMMERCE
An online store is more than its catalogue pages. Search, baskets, orders, payment providers and product images place different demands on infrastructure. Plan your FibaCloud setup around those flows, considering campaign traffic, data consistency and everyday operating responsibilities together.
01 / Overview
A larger server does not solve every slowdown. Database queries, image sizes, stock integrations and payment-provider delays can all affect the customer journey. Start by identifying dependencies and bottlenecks throughout the purchasing flow.
Make separate capacity and protection decisions for the application, order records and media. Adapt this architecture guidance to your e-commerce software. It is not a promise of increased sales, a fixed response time or payment security certification.
Test browsing, baskets and order processing separately. A fast homepage does not describe the whole shopping experience.
Define how orders, stock and payment status are reconciled. Check application behaviour for repeated notifications and interrupted transactions.
Consider images and files separately from application releases. Plan file size and access patterns alongside storage capacity.
02 / Architecture
Example architecture: the store application, order data and media have separate needs. Payment providers and software integrations require their own planning.
Selection guide03 / Selection guide
| Consider | How to decide | Why it matters |
|---|---|---|
| Software requirements | List application versions, extensions and data dependencies. | Resource choices should reflect the software you run. |
| Peak demand | Test expected campaign flows with application-specific scenarios. | A visitor-count estimate cannot explain capacity by itself. |
| Data and recovery | Plan a consistent restore of order records and files. | The business impact of returning to older data becomes visible. |
| Total cost | Separate compute, media, transfer and external services. | Campaign planning includes infrastructure and service costs. |
04 / Use cases
Observe catalogue searches, sessions and administration together. Measure CPU, memory and queries during representative shopping flows.
Load-test with realistic product and basket data. Do more than open pages; consider the limits of external services too.
Product records, image versions and integration jobs consume different resources. Define retention and cleanup for unused files.
05 / From planning to operation
Record components and providers from catalogue to order confirmation. Make the point of investigation clear when something fails.
Start with compute suited to the application and data. Use available measurements instead of sizing only by comparison with other stores.
Review software and extension changes in staging. Establish test-order and rollback procedures before taking customer transactions.
Restore files and databases to a separate target. Include order and stock consistency in the acceptance checks.
CPU can reduce a relevant bottleneck. Products, design, prices, checkout and external services also affect outcomes; infrastructure changes cannot guarantee higher sales.
No. Before adding application servers, plan sessions, files and shared data. A load balancer does not resolve those application requirements by itself.
Order, customer and configuration data usually matter too. Define scope for your software and verify that the restored components work together consistently.
Not on its own. Payment flows, data processing and applicable requirements need separate assessment. Buying infrastructure does not automatically certify an application.
Connect product decisions with installation, configuration and operating knowledge.
These references explain the technical concepts discussed on this page. Available configurations and service scope are defined by FibaCloud product and order information.
FIBACLOUD / E-commerce
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