ICS Mobile

Telecom

DevOps

Scalability

From 500 to 3,000 TPS — Telecom Messaging at Scale

Re-architected a telecom messaging pipeline from 500 to 3,000 TPS — a 6× throughput lift that silenced client complaints across SMS, WhatsApp, and RCS.

Region

Global

Duration

14 months

Team

5 engineers

Engagement

Re-architecture + platform engineering

Throughput

500 → 3,000 TPS

Complaints

Regular → Zero client complaints

Channels

SMS, WhatsApp & RCS — all near real-time

The Challenge

What they were up against

ICS Mobile's messaging platform for SMS, WhatsApp, and RCS was handling only 500 TPS with regular client complaints about delays and failures.

Messaging throughput capped at 500 TPS — far below channel demand
Frequent customer escalations about delivery delays across channels
No parallelism between SMS, WhatsApp, and RCS pipelines
Monitoring invisible to ops during peak hours

Our Approach

How we moved in

Complete Kubernetes migration. We re-architected the messaging pipeline for parallel processing across all channels.

End-to-end pipeline profiling to locate the true bottlenecks
Re-architected around event streams with per-channel workers
Kubernetes migration with horizontal auto-scaling
Observability rebuilt with Prometheus + Grafana dashboards

What we built

The solution, in detail

Parallel processing across SMS, WhatsApp, and RCS channels

Back-pressure and retry semantics wired into the message bus

Per-tenant rate limiting and quota management

Real-time dashboards for delivery rate and error budget

Business Impact

The outcomes that matter

Throughput lifted from 500 to 3,000 TPS — 6× capacity

Zero client complaints post-launch across all channels

Near real-time delivery maintained under peak load

Ops team now has live visibility into every dispatch

Throughput

500 → 3,000 TPS

Transactions per second

Complaints

Regular → Zero client complaints

Client satisfaction

Channels

SMS, WhatsApp & RCS — all near real-time

Multi-channel delivery

“We went from telling customers to wait to telling them it's already delivered. That's the difference Qilin Lab made.”

Head of Platform

ICS Mobile

Technology Stack

Built with

Kubernetes

Docker

RabbitMQ

Node.js

AWS

Prometheus

Grafana

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