Load Balancing

Executive Overview: High-concurrency system design requires lock-free data structures, asynchronous I/O multiplexing, and zero-copy memory buffers to scale to millions of requests. Pillar Architecture Guide: This article is part of the High-throughput Go Framework Benchmarks: Gin, Fiber, Kratos series. Please refer to the original article for a comprehensive overview of the architecture. Answer-First: Handling millions of requests per second (the C10M problem) requires eliminating kernel-space context switching overhead through asynchronous event loops (epoll/kqueue) or kernel-bypass networking (DPDK, io_uring), paired with zero-copy I/O memory buffers, L4 DSR (Direct Server Return) load balancing, and lock-free concurrency structures in Go. ...

Part 4 — MCP Gateway Architecture & Routing Executive Summary & Quick Answer: Operating multiple independent MCP servers across an enterprise creates point-to-point management sprawl and security leaks. An MCP Gateway acts as a centralized reverse proxy control plane, handling dynamic tool routing, rate limiting, authentication enforcement, and circuit breaking for all downstream MCP server microservices. Key Takeaways: Centralized Control Plane: Eliminates point-to-point connections by proxying all AI agent tool requests through a single gateway. Dynamic Tool Aggregation: Aggregates disparate backend tools/list responses into a unified tool directory for client hosts. Resilient Circuit Breaking: Protects downstream database and microservice MCP servers from agent traffic spikes. In early enterprise AI deployments, every development team built their own standalone MCP server. Soon, an organization operating 30 engineering teams found itself managing 30 distinct MCP server URLs, each requiring separate authentication configs, firewall rules, and observability integrations. ...