This article explains the concepts, costs, architectural patterns, and practical design techniques for building multi‑active systems across different geographic locations while managing latency, data consistency, and business continuity.
This article examines common misconceptions in designing geo-distributed active-active systems, explains why striving for perfect real-time data sync is unrealistic, and offers practical strategies—such as prioritizing core services, reducing distance, limiting data replication, and combining storage sync with messaging—to achieve reliable high-availability.
The article details Alibaba's three‑stage evolution from same‑city active‑active to two‑site three‑center disaster recovery and finally to geo‑distributed multi‑active architecture, explaining its motivations, technical challenges such as latency and data consistency, the solutions implemented, and the resulting scalability and fault‑tolerance benefits.
