Node.js Distributed Systems: Consistent Hashing, DHTs, and P2P Architecture

Node.js Distributed Systems: Consistent Hashing, DHTs, and P2P Architecture Every distributed system eventually hits the same wall: the central coordinator becomes the bottleneck. Whether it's a load balancer under traffic, a cache that needs resharding, or an AI agent mesh that grows past a single router's capacity — centralization has a ceiling. This article covers the fundamental data structures and algorithms that let you push past that ceiling in Node.js: consistent hashing, Distributed Hash Tables (DHTs), and the architectural principles behind P2P systems. Consistent Hashing: The Cache Resharding Problem Imagine you have 4 cache servers and use a simple hash to route requests: function getServer ( key , servers ) { const hash = fnv1a ( key ); return servers [ hash % servers . length ]; } Works great until you add a 5th server. Now hash % 5 gives different results for almost every key — you've invalidated ~80% of your cache. Every miss hits your database. You have a thundering he