TL;DR; Java virtual threads let you handle millions of I/O-bound tasks concurrently without async gymnastics. Write blocking code, ditch the thread-pool nightmares, and scale on commodity hardware. Old-school platform threads are like bouncers at an exclusive club: each one hangs onto its guest (the OS thread) even while they’re stuck at the bar (waiting on I/O). You hit resource limits fast, see OutOfMemoryError, and then spend weeks refactoring to reactive frameworks. Not fun. Virtual threads flip the script. They’re lightweight, JVM-managed objects that only bind to an OS thread when they actually work. While you’re waiting on a database or HTTP call, they politely step aside—letting the carrier thread serve someone else. The result? Your Spring Boot server can juggle 100,000+ connections without breaking a sweat or rewriting everything in callbacks. This isn’t about speeding up CPU-bound loops; it’s about scaling I/O without reinventing your code. Just watch out for “pinning” operations like certain JNI calls or JVM locks—those still glue you to the carrier thread. Otherwise, say goodbye to the old “Mutex Club” limits and hello to limitless concurrency. Ready to ditch the velvet rope? — Chandler
The Mutex Club: How Distributed Locks Make Async Payments Bulletproof
Introduction ### The Retry Mirage Ever think slapping retries onto your async payment gateway will fix everything? It’s like using a…