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This article presents a detailed case study of Zhihu's read‑service architecture, describing its high‑availability, high‑performance, and easy‑scalability design goals, key components such as Proxy, Cache and TiDB storage, performance metrics, and the migration from MySQL to TiDB with practical lessons learned.
This article details Zhihu's read‑service architecture, covering its business requirements, high‑availability and high‑performance design goals, key components such as Proxy, Cache and Storage, extensive performance metrics, the migration from MySQL to TiDB, and the benefits brought by TiDB 3.0 features.
This article details Zhihu's read‑service architecture, its massive data scale and performance challenges, early Bloom‑filter and HBase solutions, the design goals of high availability, high performance and scalability, and the subsequent migration from MySQL to TiDB with cloud‑native practices.
This article details the architectural design, technical challenges, and iterative evolution of Zhihu's massive read‑service, covering early Bloom‑filter solutions, the RBase cache‑through system, high‑availability and performance optimizations, and the final migration to TiDB for cloud‑native scalability.