High-Throughput Caching Topologies: From Edge Networks to In-Memory Stores

Multi-Tiered Caching Topology Design

Achieving sub-50ms p99 latency across thousands of concurrent requests requires a holistic, multi-layered caching blueprint:

1. Edge Compute Layer: Terminating static assets and immutable API payloads at regional edge nodes.
2. Local In-Process Memory: Memoizing configuration graphs and frequently traversed domain models in worker memory.
3. Distributed In-Memory Fabric: Redis and KeyDB clusters orchestrating shared session states and rate-limiting counters.