High-Concurrency Architecture: C10M & Scaling in Go
Answer-first: High-concurrency B2B commerce platforms achieve 25M monthly throughput by coupling Go microservices, distributed queues, and resilient database connection pooling. Prerequisite: This is the executive summary and introductory overview of the High Concurrency Systems series. No prior reading is required to start here. You can view the full series roadmap at the Series Hub. Despite the massive advancements in cloud computing, enterprise applications facing explosive traffic growth inevitably hit a brutal wall: the Database and the Network layer. The root cause lies not in the hardware, but in the Architecture. We attempt to solve the “Millions of Requests per Second” (C10M) problem by simply throwing more servers at it (Vertical/Horizontal Scaling), only to realize that stateful bottlenecks, cache stampedes, and dual-write inconsistencies bring the entire cluster to its knees. ...