Eliminating the Network: How In-Process Rust Cache Beats Redis

High-throughput systems face a critical tradeoff: network-based caching like Redis introduces latency that can overwhelm single instances handling millions of operations per second. By moving to in-process caching with Rust, teams achieve sub-microsecond lookups—44x faster than distributed alternatives—making this architectural shift essential for performance-critical applications that prioritize latency over shared state.