Enterprise Infrastructure — the main screen
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1. MULTI-TENANT DATABASE ARCHITECTURE
Every business's data lives in its own tenant database, distributed across multiple database shards behind a high-performance connection pooling layer (ProxySQL) in front of a modern MariaDB backend. That means one business's data volume or query load never competes directly with another's, and the platform can simply add more shards to keep scaling as the customer base grows — the architecture is built to expand, not to hit a ceiling.
2. PERSISTENT CONNECTIONS — FASTER EVERY PAGE LOAD
Database connections stay alive and get reused across requests, instead of being opened and torn down fresh on every single page load. In practice, that means less time spent on connection overhead and more of every request's time actually doing your work — a meaningful difference at real usage volume, not just a micro-optimization.
3. CACHING — REDIS AND MEMCACHE, USED FOR WHAT EACH IS BEST AT
- Memcache speeds up frequently repeated lookups — your business configuration, session data, and integration settings — so a busy page or a large batch operation, like importing thousands of products, isn't re-running the same lookup query over and over for every single row.
- Redis handles live, shared state for longer-running background work: real-time progress tracking during a big import, so you can actually watch it happen, and the job queue that powers e-commerce background syncing. Both are in genuine, active use across multiple parts of the product, not just configured and left idle.
4. BACKGROUND JOB PROCESSING — SYNCING WITHOUT SLOWING YOU DOWN
Heavier operations — syncing a large product catalog with an online store, processing a big batch import — run through a dedicated background worker system instead of making you sit and wait on a web page. Jobs get queued, picked up by a worker process built to handle one business's job without blocking another's, and processed with proper locking so two workers can never accidentally duplicate the same job. This same underlying queue infrastructure powers every platform-specific integration sync — Shopify, WooCommerce, BigCommerce, and others — one well-built, well-tested mechanism doing the heavy lifting for all of them, rather than each integration reinventing its own approach.
5. HOW IT CONNECTS TO THE REST OF THE SYSTEM
- E-commerce Integrations — bulk imports/exports and real-time webhook processing both rely on this same caching and background-job infrastructure.
- Stock Count & Reconciliation — large-scale count processing (full counts, cycle counts, spot checks) uses the same caching layer to stay responsive even against a large catalog.
6. WHY IT SCALES FROM SMB TO ENTERPRISE
Small business
You get fast performance from day one — this infrastructure runs the same way at any size, so you just won't notice it until you're big enough to need it.
Growing business
Background job processing means importing a large catalog or connecting a busy storefront doesn't freeze your team out of using the app while it happens.
Enterprise
A sharded, connection-pooled, cache-backed architecture with dedicated background workers is the kind of infrastructure investment usually reserved for platforms built specifically for large-scale, high-transaction-volume operations — available here by default.
Quick Reference
This is platform infrastructure with no direct settings screen — it runs automatically underneath every feature in the product. Technical buyers can request an architecture briefing from our team.