Discover how we structured Kubernetes pod autoscaling, Redis caching tiers, and gRPC inter-service communication to survive massive traffic spikes.
The Production Traffic Spike
Handling 40,000 requests per second requires eliminating synchronous bottlenecks across every layer of the network stack. Here is the architectural post-mortem from our latest enterprise deployment.
Optimizing Connection Pooling and gRPC
Switching from REST JSON over HTTP/1.1 to persistent gRPC HTTP/2 streams reduced payload serialization overhead by 54% and slashed container CPU usage by half.
Multi-Tier Caching Strategy
By pairing local in-memory LRU caches with cluster-wide Redis Sentinel replicas, 92% of read queries never touched the persistent storage engine.
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