Every Go developer takes for granted that they can spin up 100,000 goroutines to handle concurrent network requests without crashing the operating system. But beneath the surface of a simple net.Listen, a complex dance is happening between the Go Runtime, the Scheduler, and the OS kernel. This session pulls back the curtain on the Netpoller, the silent engine that transforms blocking, synchronous-looking Go code into non-blocking, asynchronous system calls. We will journey through the G-M-P scheduling model to see exactly what happens when a goroutine "parks" while waiting for data, and how the Netpoller utilizes epoll, kqueue, or io_uring to wake it back up with surgical precision. By understanding the interaction between memory management and network I/O, you will walk away not just with a deeper appreciation for Go’s internals, but with practical insights on how to profile and optimize high-throughput systems where every microsecond of latency counts.