\n In high-throughput API backends, serving 100,000+ requests per second with sub-millisecond latency is the holy grail. RedisJSON, the document store module for Redis, achieves exactly that by embedding JSON directly into Redis’s in-memory data structures—but how does it actually work under the hood? This deep dive exposes the internals of RedisJSON 2.2 (shipping with Redis 8.0), revealing the design decisions, memory layout, and query engine that make it a powerhouse for modern API storage. \n 📡 Hacker News Top Stories Right Now Dirtyfrag: Universal Linux LPE (220 points) The Burning Man MOOP Map (482 points) Agents need control flow, not more prompts (226 points) Natural Language Autoencoders: Turning Claude's Thoughts into Text (124 points) AlphaEvolve: Gemini-powered coding agent scaling impact across fields (219 points) \n Key Insights RedisJSON 8.0 delivers up to 150,000 reads/sec on a single 8-core node with p99 latency under 2ms for 1KB documents.…