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Scale & Reliability

Engineered for ISPs that can't afford to lose a taka

Billing, accounting and network control are designed so nothing is silently dropped — even during an outage — and so the platform stays fast as you grow past tens of thousands of subscribers.

30,000+

subscribers per ISP

~1,600

tenant databases

Sub-second

period reports at scale

Zero

lost postings or reconnections

Zero-loss accounting queue

If the accounting service is offline, postings aren't lost — each failure retries with exponential backoff (5m → 20m → 1h → 4h → 12h), event-driven so there's no overhead when healthy, and the core transaction is never blocked.

Durable network retry queue

A failed router or RADIUS operation is queued, de-duplicated and retried up to 10 times every 2 minutes — so a power outage never loses a paid customer's reconnection.

Transactional outbox

Business records and their queue message are written in the same database transaction and published with broker confirms, so async work survives an outage with end-to-end correlation.

Built for 30,000+ subscribers

Set-based SQL aggregation, mandatory column projection and batched lookups keep pages fast at scale — a period summary stays sub-second across 36 months of 30,000 customers.

Exactly-once billing

Two-level deduplication locks mean the nightly cron, a manual mass-generate and a new signup can all fire at once and still produce exactly one bill per customer per month.

Real-time, async, scheduled

A three-channel stack — SignalR live dashboards, Hangfire cron and RabbitMQ async — handles real-time, background and bulk work without blocking the operator.

Scale is a design rule here, not an afterthought

Never load unbounded queries — filter and paginate first
Always project columns — never fetch whole heavy rows
SQL-level COUNT/SUM/GroupBy — not in-memory aggregation
Batched dictionary lookups — never a query inside a loop
Viewport-bounded map endpoints with result caps
Server-side data grids across the whole product
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