How Didi Scales Elasticsearch: Architecture, Performance Tuning, and Cost Optimization
This article details Didi’s use of Elasticsearch 7.6, covering its architecture on physical machines, gateway and control layers, user console features, deployment models, data synchronization strategies, engine iterations such as fine‑grained tiered protection, multi‑active replication, JDK 17/ZGC performance upgrades, cost reductions, multi‑tenant isolation, security enhancements, and future migration to ES 8.13.
