This article shares 360 Group's systematic Kafka capacity‑planning methodology, covering hardware performance analysis, disk I/O benchmarking, cluster configuration, load‑testing procedures, observed write‑read dynamics, and practical recommendations for reliable Kafka deployments.
This article details the end‑to‑end process of expanding a high‑traffic ride‑hailing order system on Alibaba Cloud, covering capacity planning, database sharding from 256 to 4096 tables, custom data‑sync middleware, validation, repair, and a gray‑release migration that achieved zero incidents.
The article explains how Alibaba introduced full‑link stress testing and a four‑step capacity‑planning process for the Double 11 shopping festival, detailing traffic‑prediction, system‑capacity evaluation, fine‑tuning via production‑environment load tests, and dynamic flow‑control mechanisms that together ensure system stability during massive traffic spikes.
