Scale
Enterprise Scale-Out
When one server is no longer enough, your store runs on many — as one.
Every single server has a ceiling, and a serious traffic surge finds it: at thousands of checkouts a minute, one machine and one database simply run out of headroom. The big players never bet the storefront on a single box. They point the domain at a load balancer, spread the traffic across many web nodes, split the database into a write master and read replicas, and keep sessions and carts in a central Redis so every node sees the same truth. Enterprise Scale-Out brings that architecture to your store.
What it does
Load Balancing
Your domain points at a load balancer instead of a single server. Behind it sit many web nodes running PHP and your store code; the balancer spreads traffic across them, and if a node falls or overloads, requests are routed to the others — invisibly to your customers.
Database Replication
At thousands of checkouts a minute, one MySQL is not enough. We split it into a write master that owns orders and payments, and multiple read replicas that serve catalogue browsing and search — so heavy catalogue reads never slow down the writes that complete a sale.
Centralized Redis
With many nodes, a login or a cart cannot live on one node's local disk — the next click may land on another node and the cart looks empty. A central Redis cluster holds sessions, carts and the object cache; every node reads and writes there, kept in sync within milliseconds.
Async Message Queues
Calls to AI models or to your ERP take time, and the user must never freeze waiting for them. PHP pushes the command to a queue and moves on; a background worker does the heavy work and returns the result to the frontend, so the interface never blocks. This is what keeps the Ergofix AI Salesman and ERP integrations responsive.
Auto-Scaling
A normal day runs on a few nodes. When a TV spot or a campaign sends traffic surging, the system adds nodes in seconds to absorb it, then scales back down once the wave passes — so you carry capacity for the peak without paying for idle machines the rest of the time.
Shared Media Storage
With many nodes, an uploaded image cannot stay on the single node that received it, or every other node serves a broken picture. Media lives on shared storage — NFS or S3-style object storage — so every node reads the same files and images never 404.
How it works
- 01
We Map The Load
We study how your store behaves under real and peak traffic — where reads pile up, where writes contend, what freezes the interface — and design the topology of balancer, nodes, database roles and cache around those pressure points.
- 02
We Build The Cluster
We stand up the load balancer, the web nodes, the write master with its read replicas, the central Redis, the message queues and shared media storage — one coherent system where every layer knows its job and no node holds state alone.
- 03
We Make It Elastic
We containerize the nodes and wire in auto-scaling, so capacity follows demand on its own: more nodes when a surge hits, fewer when it passes. The cluster grows and shrinks without anyone watching a dashboard at 2am.
What you get
- Your store stays up and responsive through spikes that would flatten a single server.
- Checkout never waits on catalogue reads — writes and reads run on separate database roles.
- Carts and sessions survive across nodes, so a customer's basket never vanishes between clicks.
- You pay for the capacity you actually use, because the cluster scales back down when the wave passes.
Get started
Your store is losing money on every slow page. Let’s measure it.
A technical diagnosis puts hard numbers on what your current setup is really costing you — and gives you a concrete plan to fix it. Senior engineers, billed by the hour and credited toward the work if you go ahead.