How Vivo Supercharged Dubbo Routing with Async Caching and Load‑Balancing Optimizations
This article analyzes the CPU‑heavy routing and load‑balancing modules of Dubbo in a large‑scale microservice cluster, identifies O(n) traversal as the root cause, and presents a step‑by‑step redesign—including disabling unused routers, caching route results with epoch validation, BitMap‑based intersection, and grouped routing—that reduces CPU usage by up to 27% and doubles TPS when provider instances exceed 2,000.
