Cluster I/O Profiling reveals critical bottlenecks in order engine and messaging bus. L3 cache layer deployed across all clusters cuts median API response from 2.8s to 1.7s.
Heavy search queries no longer block checkout flows. Cache hit ratio now 87% on peak load, eliminating database thrashing during concurrent order spikes.
Performance Impact
Throughput: Before vs After
Without L3 Cache
With L3 Cache
Database load reduced 65–87% across all operations. Cache absorbs search spikes while order processing remains stable.
L3 Cache Architecture
(Redis Cluster + Memcached)
I/O Profiling Results
Implementation Details
Cache Keys
user: • listing: • search:
TTL Strategy
Cart: 15min • Listings: 5min • Search: 2min • Orders: 30s
Invalidation
Write-through on cart/order updates • Pub/sub invalidation on price changes
cache_key = f"order:{user_id}:{session_id}";
cached = redis.get(cache_key);
if cached:
return cached;
else:
data = db.query(...);
redis.setex(cache_key, 30, data);
return data;
Who Benefits
Buyers
Checkout never slows during market searches
Vendors
Real-time dashboard updates without lag
Platform
3.2x QPS capacity under peak concurrent load
Database
65–92% query reduction across all clusters