This article explains how RaftKeeper leverages the Raft consensus algorithm to create a high‑availability, high‑performance ClickHouse cluster across multiple data centers, covering project background, architecture, core features, performance optimizations, and real‑world deployment results.
This article details Ctrip's Hadoop evolution, the challenges of expanding across multiple data centers, the evaluation of multi‑cluster versus single‑cluster designs, and the concrete architectural changes, migration tools, bandwidth monitoring, and future plans that enabled a stable cross‑datacenter big‑data platform.
This article details Ctrip's cross‑datacenter Hadoop architecture, covering the evolution of its Hadoop platform, the challenges of multi‑site bandwidth and latency, design choices between multi‑cluster and single‑cluster solutions, and the concrete HDFS, YARN, balancer, migration, monitoring, and throttling implementations that enable transparent, consistent, and efficient multi‑datacenter operations.
This article explains why MySQL migration is essential, outlines various migration strategies—including full, partial, and cross‑datacenter moves—and provides detailed, step‑by‑step procedures, best‑practice tips, and precautionary measures to ensure a smooth, reliable transition.
The article details Weibo's evolution toward multi‑active cross‑datacenter deployment, describing initial motivations, early synchronization attempts, the eventual MCQ‑based messaging solution, operational challenges such as latency and data consistency, and best‑practice recommendations for large‑scale distributed systems.
