System Design & Traffic Surge Sandbox•Interactive Distributed Architecture Testing
Swiggy IPL Final: 50,000 Orders / Sec
When the match reaches the 19th over, 1.2M concurrent users hit 'Place Order' at once. Direct database writes will exhaust connection pools within 1.2 seconds without an async ingestion queue.
LIVE ARCHITECTURE PIPELINE5/8 Components Active
Web & Mobile Clients
Active
Cloudflare Edge CDN
Active
API Gateway & Rate Limiter
Active
Application Service Cluster
Active
Redis Distributed Cache
Disabled (Click to add)
Kafka / RabbitMQ Queue
Disabled (Click to add)
Async Worker Fleet
Disabled (Click to add)
PostgreSQL Database Cluster
Active
SIMULATED TRAFFIC CONCURRENCY50,000 Req/Sec
5,000 RPS (Normal Baseline)50,000 RPS (IPL Over 19)100,000 RPS (Black Friday Surge)
TELEMETRY STATUS 504 • Outage
P99 Latency
3493ms
Error Rate
58.55%
DB CPU
100%
Throughput Handled32,500 / 50,000 RPS
ARCHITECTURAL BOTTLENECK ANALYSIS
⚠️ Bottleneck #1
Database overwhelmed by 10,000 direct read queries/sec.
⚠️ Bottleneck #2
Direct synchronous writes (40,000/s) saturating DB connection pool.
⚠️ Bottleneck #3
🚨 PostgreSQL CPU at 100%! Connection pool exhausted. DB rejecting queries.
Suggested Architectural Fix:
Add a Redis Distributed Cache to absorb >85% of repeated catalog reads.
Introduce a Kafka or RabbitMQ Queue to buffer high-throughput writes asynchronously.