Check it out 🚀 Sponsored by Dragonfly. Built in collaboration with their engineering team to highlight key performance and architectural insights. DragonflyDB vs Redis — what’s the real difference, and is Dragonfly really 25x faster? In this deep dive, we’ll explore why DragonflyDB, a blazing-fast, Redis-compatible in-memory database, is designed to crush Redis’s single-threaded limitations. ✅ How DragonflyDB solves Redis’s single-threaded bottleneck ✅ Real-world performance benchmarks (1M+ ops/sec!) ✅ The architecture behind Dragonfly’s speed: fibers, shared-nothing, dashtable ✅ How it scales vertically and horizontally with Dragonfly Swarm ✅ Why it's a drop-in replacement for Redis with zero code changes From scaling to 100TB+ memory, to hitting over 6 million ops/sec on AWS, this isn’t just a tutorial — it’s a breakdown of modern in-memory system design. Whether you're an engineer building high-throughput systems or evaluating caching infrastructure, DragonflyDB is worth understanding. #DragonflyDB #Redis #SystemDesign #InMemoryDatabase #Caching #DevTools #HighPerformanceComputing 📌 Timestamps 0:00 – Intro: Why Redis Isn't Enough Anymore 0:33 – In-Memory Databases Explained 1:40 – Introducing DragonflyDB (vs Redis) 2:47 – Drop-In Redis Compatibility (RESP Protocol) 4:31 – Dragonfly Architecture: Multi-threaded, Shared-Nothing, Fibers 4:48 – Benchmark Demo: Dragonfly vs Redis on AWS 5:56 – Vertical Scaling: From 1 Node to Terabytes 6:50 – Horizontal Scaling with Dragonfly Swarm 9:58 – Performance Test: 1M+ Ops/sec and Latency Impact 13:00 – Final Thoughts: When and Why to Use Dragonfly