This article explains the fundamentals of load balancing, compares common techniques such as DNS round‑robin, hardware and software load balancers, discusses their advantages and drawbacks, and introduces Alibaba's VIPServer as a mid‑tier, seven‑layer load‑balancing solution with advanced health‑check and traffic‑routing features.
This article explains load balancing fundamentals, differentiates layer‑4 and layer‑7 balancing, describes hardware and software solutions, local and global deployment, various algorithms and health‑check methods, and discusses performance, scalability, security, and management considerations for modern network operations.
This article explains how to design and optimize web system architecture—including load‑balancing methods, multi‑level caching, MySQL scaling, distributed deployment, and disaster‑recovery techniques—to handle traffic growth from hundreds of thousands to hundreds of millions of daily visits.
The article details Meizu's large‑scale real‑time push architecture, covering system scale, four‑layer design, mobile power‑saving optimizations, network instability handling, massive connection techniques, load‑balancing strategies, comprehensive monitoring, and gray‑release deployment practices.
This article explains how to streamline OpenFeign usage during local development by creating a custom ImportBeanDefinitionRegistrar that registers Feign clients with configurable URLs, avoiding manual URL changes in annotations and ensuring seamless switching between local and production environments.
This article explains the challenges of using WebSocket in a microservice environment, introduces a load‑balancing library that forwards messages between service instances, shows how to enable it with Spring annotations, and details the underlying connection, subscription, and selector mechanisms for reliable message routing.
This article examines the role of service registry centers in microservice architectures, compares Zookeeper, Eureka, Nacos, Consul, and Kubernetes, discusses load‑balancing strategies, and provides guidance on selecting the most suitable registry solution based on availability, consistency, and ecosystem fit.
The article explains when adding consumers can reduce RocketMQ backlog, the reasons for delayed message pulling, handling slow external services, and details six different MessageQueue allocation strategies—including average, round‑robin, custom, machine‑room, nearby, and consistent‑hash—accompanied by Java code examples.
This article explains the challenges of using WebSocket in a micro‑service environment, introduces a load‑balancing library with annotation‑based configuration, and details its abstract design, connection management, message routing, and selector mechanisms for targeted and broadcast communication.
The article explains why Spring Cloud Gateway may still call a downed service due to a stale CachingRouteLocator cache, and demonstrates how to listen to Nacos InstancesChangeEvent to evict the cache so the gateway always uses the latest service list.
This article explains how to design and evolve a system from a single‑server deployment to a highly scalable architecture using vertical and horizontal scaling, load balancing, database replication, sharding, caching, CDN, and stateless design to support billions of users.
This article presents a comprehensive overview of designing and implementing a custom RPC framework using Spring Boot and Netty, covering concepts, architecture, service registration with Zookeeper, load balancing, custom message protocol, serialization, handling TCP fragmentation, and various client invocation modes.
This article explains RocketMQ consumer fundamentals, covering concurrent and ordered consumption modes, how to achieve idempotent processing with Redis locks, the load‑balancing strategy implemented by RebalanceImpl, and the complete pull‑process‑consume workflow including code examples.
This article explains when adding consumers to a RocketMQ topic improves message consumption, the reasons for consumer pull delays, and details six MessageQueue allocation strategies—including average, round‑robin, custom, machine‑room, nearby, and consistent‑hash—accompanied by code examples.
This article explains common load‑balancing strategies—including basic round‑robin, random, weighted and smooth weighted algorithms, as well as consistent hashing, least‑active and optimal‑response methods—provides Java implementations for each, discusses their advantages, disadvantages, and suitable scenarios, and concludes with practical recommendations.
This tutorial explains what HAProxy is, its core capabilities and key features, provides step‑by‑step instructions for installing and running it on CentOS 7, demonstrates how to build both L7 and L4 load balancers, details essential configuration options, and shows how to achieve high availability with Keepalived, all illustrated with practical code examples and screenshots.
The article analyzes the extreme‑traffic challenges of China’s 12306 ticket‑spike service, presents a layered load‑balancing architecture using OSPF, LVS, and Nginx weighted round‑robin, and demonstrates a Go‑based prototype that combines local in‑memory stock deduction with Redis‑backed global stock control to achieve stable, high‑throughput ticket purchasing without overselling.
This article explains why web performance is critical, presents ten practical NGINX‑based recommendations—including reverse proxy, load balancing, caching, compression, SSL/TLS optimization, HTTP/2, software upgrades, Linux tuning, and real‑time monitoring—to help developers and operators dramatically improve application speed and reliability.
The article recounts Meizu architect Yu Xiaobo's presentation on the company's real‑time push system, describing its massive scale, four‑layer backend architecture, challenges such as power consumption, mobile network instability, massive connections, and the monitoring and gray‑release strategies employed to ensure reliability.
This article outlines a comprehensive distributed server cluster architecture for large‑scale websites, covering the evolution from simple three‑tier setups to high‑availability load‑balancing with HAProxy/Keepalived, Redis caching, NoSQL storage, and future distributed MySQL considerations.