Case Study · High-Scale Real-Time Platform
A high-performance affiliate tracking system designed to process millions of events per day with real-time attribution, live dashboards, and built-in fraud protection.
1M+
Events Processed / Day
peak capacity
<150ms
P99 Latency
end-to-end
99.9%
Attribution Accuracy
real-time
99.99%
Uptime
SLA compliant
Traditional affiliate systems struggled with delayed reporting, inaccurate attribution, and high vulnerability to fraudulent traffic. Existing solutions couldn't scale beyond 100K daily events.
24-48 hour reporting delays causing missed optimization windows
No real-time fraud detection leading to significant revenue loss
System failures during traffic spikes from major campaigns
No real-time dashboards for campaign optimization
A distributed, event-driven architecture designed for massive scale and real-time processing across multiple services.
Real-Time Event Processing Flow
Dedicated message queues handle 10K+ events per second with automatic scaling.
Services process events with <150ms latency for instant attribution.
Redis for caching, MySQL for transactions, TimescaleDB for analytics.
Event Processing
1M → 10M/day
Attribution Speed
24h → <150ms
Fraud Detection
70% → 95%
System Uptime
99.5% → 99.99%
Revenue Impact
+35%
Increased affiliate revenue
Cost Reduction
-60%
In fraud-related losses
Customer Satisfaction
4.8/5
Platform rating
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