This article explains essential techniques for building high‑concurrency systems—including load balancing algorithms, microservice decomposition, caching strategies, database sharding, message‑queue integration, and CDN usage—to help engineers design scalable architectures and advance their careers.
This article explains the principles of consistent hashing, compares it with simple modulo hashing, and shows how the hash ring, virtual nodes, and key mapping improve load balancing, minimize data loss during node changes, and prevent cache avalanche in distributed caching systems.
This article walks through the evolution from a single‑server Tomcat setup to a multi‑layer architecture using Nginx, a gateway, and LVS, explaining dynamic/static request separation, high‑availability strategies, and the performance trade‑offs that guide scalable backend design.
This article explains the fundamentals, architecture, strategies, core components, request interception, initialization, synchronization, heartbeat mechanisms, and common configurations of Ribbon, the client‑side load balancer used in Spring Cloud microservice ecosystems.
This article describes how Zhongtong tackled severe pod‑scheduling imbalance in its Kubernetes clusters by extending the scheduler with the Scheduling Framework, adding custom filter and score plugins that balanced CPU load, boosted overall utilization from 30% to 50%, and reduced manual scheduling interventions by about 80%.