High-Concurrency Architecture: C10M & Scaling in Go — Executive Summary

Answer-first: Surviving C10M scale with ten million concurrent sockets and sub-10ms tail latencies requires re-engineering infrastructure across four foundational layers: kernel-bypass I/O via Linux io_uring and eBPF, zero-allocation Go netpoller pipelines using sync.Pool, asynchronous event streaming with Debezium transactional outbox, and tiered caching with singleflight deduplication to shield underlying databases from connection exhaustion. Prerequisite: Advanced knowledge of distributed systems design, Linux kernel networking primitives, Go runtime scheduling internals, database transaction isolation levels, and microservices architecture patterns is recommended for this masterclass series. ...

Chapter 1: How Systems Handle C10M — Linux epoll, io_uring & Go Netpoller

Answer-first: Building a C10M-capable Golang backend requires bypassing OS kernel bottlenecks through three core architectural shifts: replacing standard network syscalls with io_uring and eBPF/XDP, utilizing Go netpoller with fixed worker pools to eliminate unbounded goroutine scheduling overhead, and pre-allocating zero-allocation memory slabs via sync.Pool to keep garbage collection stop-the-world pauses strictly below three hundred microseconds. Prerequisite: Advanced understanding of Linux system calls, network socket lifecycles, operating system memory management, and Go concurrency primitives (goroutines, channels, and runtime netpoller) is required. ...