You already rely on Fastly for performance at the edge. The question is how to connect that strength to the right ecommerce platform — and keep everything working at scale. We help you make that decision and deliver the full build.
Fits with
Most ecommerce projects start with a platform decision. When Fastly is already part of the stack, that decision shifts. You are not just picking a storefront — you are choosing a platform that works well behind an edge delivery layer you already control. That changes the architecture, the deployment model, and the way frontend assets reach the browser.
Fastly's strengths — VCL-based caching, edge compute via Compute@Edge, real-time purging, and request-level logic — are valuable in ecommerce, but only if the storefront is designed to take advantage of them. A headless platform with API-driven content and clean cache keys behaves very differently behind Fastly than a monolithic one generating full pages server-side. The platform choice shapes how much of Fastly's capability you actually use.
This is where we come in. Nordic Web Team works with commerce teams that already run Fastly and need help choosing, integrating, and launching the ecommerce layer around it. We are not a Fastly reseller. We are the team that makes sure the storefront, the data, and the delivery pipeline fit together.
We work with four platforms that each fit this setup in different ways: Shopware, Norce, Magento / Hyvä, and Shopify. The right choice depends on your catalogue complexity, your team's technical capacity, and how much control you want over the edge behaviour.
Shopware offers a flexible, API-first architecture that pairs well with custom edge logic. If your team wants to control VCL rules and push personalisation to the edge, Shopware gives you the backend flexibility to support that. Norce is a strong fit for Nordic B2B and omnichannel retailers who need deep product information management and multi-market support — its API-driven model works cleanly behind Fastly's caching layer.
Magento with Hyvä provides a lightweight frontend on top of a mature commerce engine. For teams managing large catalogues and complex pricing, this combination keeps server-side rendering efficient while letting Fastly handle delivery. Shopify, particularly Shopify Plus with a headless frontend via Hydrogen or a custom stack, works well when speed to market matters more than infrastructure control — though it limits how much custom edge logic you can run.
None of these is the single right answer. We help you evaluate the tradeoffs against your traffic patterns, content model, and internal capabilities.
Connecting an ecommerce platform to a Fastly-backed delivery pipeline involves more than API calls. Product data, inventory, pricing, and order status need to flow between systems reliably — and the cache layer needs to know when data has changed. Stale prices or out-of-stock products showing as available are the kinds of issues that erode trust fast.
Where integration touches data sync — product feeds, stock updates, order routing — we use Junipeer as the integration layer. Junipeer handles the mapping and transport between backend systems and the storefront, which reduces custom middleware and gives both sides a shared data contract. But the connector is only one piece. Surrounding that work sits data quality review, content migration, frontend build, QA across devices, and a staged rollout plan.
We also consider the broader technology context. Many Fastly customers already use AWS for origin infrastructure, Vercel for frontend deployment, or Cloudflare alongside Fastly for DNS or secondary CDN. Storyblok is common as a headless CMS feeding content into the storefront. Each of these has implications for cache invalidation, deployment hooks, and content delivery — and we map them out before writing code.
In a typical Fastly-backed ecommerce setup, the edge layer handles static assets, product listing pages, and often personalised content fragments via edge compute. The ecommerce platform manages the catalogue, cart, checkout, and order lifecycle. Between them sits an API layer — either the platform's native APIs or a composition layer — that Fastly caches and purges based on business events.
The data that typically syncs includes product attributes, pricing tiers, stock levels, promotional rules, and customer segments. Getting this right means defining clear cache keys, setting appropriate TTLs, and building purge triggers that fire when upstream data changes. It also means testing thoroughly — edge behaviour is hard to debug in production, and mistakes are visible to every visitor.
We build and test this as part of the delivery, not as an afterthought. QA for a Fastly-backed storefront includes cache-hit validation, edge-compute logic testing, and real-traffic simulations before go-live. This is detailed, unglamorous work — and it is where most performance gains are either secured or lost.
Every engagement starts with understanding your current Fastly configuration, your origin architecture, and your commerce requirements. From there we move into platform evaluation, architecture design, build, and phased launch. The scope ranges from an edge and CDN review — checking whether your current setup is optimised for commerce workloads — to a full staged rollout of a new storefront behind Fastly.
We work as your advisor through the full process. That means honest assessments of what your current stack can and cannot do, clear recommendations on platform and technology choices, and hands-on delivery from integration through launch. Nordic Web Team is not tied to a single platform vendor, so the recommendation you get is based on your situation, not ours.
These systems often show up when we plan ecommerce for this type of business. Use them as concrete tracks for CRM, payments, and ERP.
Your edge infrastructure stays in place. We build the ecommerce layer to take full advantage of Fastly's caching, purging, and edge compute — so the performance you have paid for actually reaches your customers.
We evaluate Shopware, Norce, Magento / Hyvä, and Shopify against your catalogue, traffic, and team. You get a recommendation grounded in your business, not a vendor preference.
Proper cache invalidation and data-sync design means your customers see accurate prices, stock levels, and promotions — even at high traffic volumes.
Edge behaviour is tested before real traffic hits. Cache-hit validation, edge-logic QA, and staged rollout planning reduce the risk of post-launch issues.
Whether you run AWS, Vercel, Cloudflare, or Storyblok alongside Fastly, the architecture accounts for every layer — not just the storefront.
Platform selection, integration, frontend, content, QA, and rollout are handled by one team. No handoffs between specialists who do not talk to each other.
Where data needs to flow between your ecommerce platform and Fastly-backed delivery layer — product feeds, stock, pricing, order status — we use Junipeer as the integration layer to handle mapping and transport. But the integration is only one part of the work. Platform choice, data quality audit, content and UX design, frontend build, QA, and rollout planning are all necessary to deliver a storefront that actually performs at the edge.
Beyond the integration
The integration is only one part of the work. Platform choice, data quality, content, UX, QA, and the launch itself also need to be planned and delivered for the solution to work in practice.
1
We review your current Fastly setup, origin architecture, and commerce requirements. Then we evaluate which platform — Shopware, Norce, Magento / Hyvä, or Shopify — fits your catalogue, team, and delivery model.
2
We design the data flow between your ecommerce platform and Fastly's edge layer, define cache strategy, and map integration points through Junipeer and your existing cloud and CMS stack.
3
Frontend, integration, and edge logic are built and tested together. QA covers cache-hit validation, purge triggers, edge-compute behaviour, and cross-device storefront testing before any real traffic.
4
We launch in phases — starting with controlled traffic segments — and monitor edge performance, data accuracy, and conversion metrics. Adjustments happen in real time, not after the fact.
Yes. The entire point is to build ecommerce around the Fastly infrastructure you already run. We design the storefront, caching, and data layer to work with your existing edge configuration — not replace it.
Shopware and Norce are API-first and give you more control over how data and content are served through the edge. Magento with Hyvä offers a lightweight frontend on a mature commerce engine, suitable for large catalogues. Shopify is fastest to launch but limits custom edge logic. We evaluate all four against your specific requirements before recommending a direction.
Product attributes, pricing, stock levels, promotional rules, and customer segments flow from the platform to the edge layer. Cache purge events trigger when upstream data changes — for example, when a product goes out of stock or a price updates. Order and checkout data stays within the platform's secure environment.
Scope ranges from an edge and CDN review — checking whether your current Fastly setup is optimised for commerce — to a full staged rollout of a new storefront. We scope and price based on your situation after the discovery phase.
Integration is one part. A full project includes platform selection, architecture design, data quality review, content and UX work, frontend build, cache and edge-logic QA, and rollout planning. Skipping any of these leads to problems that show up after launch.
