Black Friday at the same speed as your Tuesday.
Reports run on a separate engine, so your dashboards never slow down a checkout. Search runs on its own engine, so finding any order is instant. Background work runs on a queue, so a slow channel can't block a fast one. Architecture validated against the workloads high-volume operators actually run.
1M-orders-a-month operators trust the architecture.
Each runs 350k+ orders a month, every month. Black Friday is just another day.
The actual problem, grounded in reality.
Past about 100k orders a month, the architecture choices Shopify and most operations vendors made stop working. Reports take 9 minutes because they hit the same database serving live order writes. Search times out because nobody indexed your 4-year history. Webhooks fire 30 seconds late because the queue ahead of yours is congested. The vendor blames your usage pattern. You blame the vendor. Both are right.
The shortcut most platforms take is to lift-and-shift to a bigger database and call it scale. This buys you another order of magnitude, then breaks the same way. The real fix is a separation of concerns: live transactions on one engine, analytics on a different engine, search on a real search engine, queues for everything that fans out, and an architecture where slow queries cannot block fast ones.
CCEN was built around this assumption from day one. The dashboards your CFO refreshes do not slow down the order page. The 4-year search history responds in milliseconds. One slow channel does not delay your fulfillment events. The numbers we benchmark against are the numbers your business actually hits.
What changes on CCEN
What an architecture-for-scale looks like when scale is the design constraint, not the upgrade path.
Reports run on their own engine
Every dashboard, every cohort query, every margin breakdown runs on a separate analytics engine. A 9-minute report does not slow the order page. An expensive dashboard does not lock a customer's checkout.
Find any order in milliseconds
Search across orders, products, listings, customers, returns, tickets. Cmd+K finds anything, instantly, across years of history. Operators stop tab-switching because finding is instant.
Queues for everything that fans out
Channel publishes, label generations, return workflows, assistant jobs, all go through queues with retry, error parking, and per-merchant isolation. One slow channel does not block the others.
Per-tenant isolation, real
Your loud neighbor cannot starve you. Per-tenant quotas at every layer, query cost accounting on the analytics engine, queue priority lanes, all enforced. The platform survives the worst of its tenants.
Real-time everywhere, batch jobs nowhere
No nightly rebuilds. No 4am job that has to finish for the dashboard to be right. Inventory recalculates on event. Reports recompute incrementally. The number on the screen is the number.
App screenshot · Throughput dashboard · 24-hour view
Order rate, queue depth, search latency, all live. Placeholder image.
What the platform looks like under your peak.
Real numbers from a high-volume operator running 1.2M orders in a peak month. The platform does not slow.
Schedule an architecture review.
30 minutes with the engineering team. Bring your peak-day numbers and your current bottleneck. We'll walk through how the architecture handles your volume.
Tools you'd typically replace
High-volume operators tend to have built or licensed expensive infrastructure to make off-the-shelf platforms scale. CCEN replaces both the platform and the bolted-on infrastructure.
Reference setup
A high-volume operator running 350k orders a month and 14M annual orders on CCEN.
Our last platform took 7 minutes to load the orders page on Black Friday. CCEN under load was 400 milliseconds. Our reports moved from a 4am job to a live dashboard. We didn't even have to scale the cluster.
Common questions from high-volume operators
- What's the order ceiling?
- We do not publish a ceiling because the architecture does not have one in the same way the legacy stacks do. Our largest production tenant runs 1.2M orders in a peak month. We've load-tested 5x that on the same architecture without re-shaping the queries.
- Can we run on our own infrastructure?
- Not today. CCEN runs on managed cloud infrastructure with managed databases and managed search. Talk to us if you have specific deployment requirements.
- What about EU and APAC residency?
- Multi-region writes for tenants with residency requirements. EU tenants run isolated in the EU region, APAC tenants run isolated in the APAC region. Same product, separated data plane.
- How do reports stay fast?
- Reports run on a separate analytics engine. Hot reports (margin per SKU, channel mix, cohort retention) are pre-aggregated and refresh incrementally on event. Most dashboards are sub-second even at 14M+ orders.
- What about webhook backpressure?
- Per-tenant queues with priority lanes. Webhooks for live ops are in the priority lane. Your noisy channel cannot starve your fulfillment events.
- Do you have an SLA?
- Yes. Scale tier is 99.95% on the API and ops surface, 99.5% on reporting. Multi-region readers in case the primary writer has a bad day. SOC 2 Type II, HIPAA optional, custom DPA.
Built for high-volume operators. See it run.
A 30-minute call with a real engineer. We connect a sandbox to your Shopify, Amazon, or EDI partner and walk through the workflow you care about. No slides. No discovery deck. The product, on data that looks like yours.