How Distributed Cache Works: Design & Architecture

Lord Peter on Instagram: "Caching makes apps feel INSTANT by serving data from “closer” locations, skipping slow origin servers! 🌍⚡ CDNs clone static content (images, videos) to edge servers worldwide — users get content from their city, not continents away (ms vs seconds). Redis/Memcached cache dynamic data (sessions, leaderboards) in RAM for microsecond lookups, skipping expensive DB joins. Caches are fast but volatile — perfect as a high-speed front layer with databases as durable backup. Mu

Tech Dopamine on Instagram: "Both Redis and Memcached are in-memory caching systems, but they are designed with different goals. 1️⃣ High-level Difference (One-liner): Memcached → Simple, ultra-fast key-value cache Redis → Advanced in-memory data store (cache + database-like features) 2️⃣ Data Model Difference (Very Important) 1. Memcached key → value (string) Example: "user:123" → "{name:'Kajal', age:25}" You always get/set entire object. 2. Redis key → data structure Examples: "user:123" → Has