This article provides a comprehensive technical overview of large distributed website architecture, covering performance, high availability, scalability, security, and agility, and illustrates the evolution, design patterns, and practical optimization techniques for modern e‑commerce platforms.
This article explains the principles, architectures, and trade‑offs of three popular software load balancers—LVS, Nginx, and HAProxy—guiding you to select the right solution based on traffic volume, protocol layer, and operational complexity.
The article describes how the Nitro team designed and implemented a Go‑based consistent‑hashing router that leverages Nginx, the Redis protocol, Envoy sidecars, and Mesos to provide low‑latency, high‑throughput request routing and caching for compute‑intensive services.
This article outlines how a .NET‑based system evolves from a single‑server deployment to a multi‑layered, load‑balanced, clustered architecture with database sharding, distributed file storage, caching, micro‑service communication, and cloud services to handle high traffic and massive data volumes.
This article summarizes the evolution stages, architectural patterns, and key concerns such as performance, scalability, extensibility, high availability, and distributed design that large‑scale websites must address, providing practical insights and visual diagrams for each concept.
This article outlines practical strategies for building high‑concurrency back‑end systems—including server architecture, load balancing, database clustering, caching, message queues, asynchronous processing, and service‑oriented design—to ensure smooth operation of traffic‑intensive e‑commerce services.
This article explains the consequences of high‑traffic spikes, presents practical database and code‑level strategies to keep data consistent, and outlines server‑side architectures—including load balancing, caching, and Redis queues—to sustain massive concurrent requests without crashing.
This article introduces the DPRD hierarchical data placement strategy, explains its roots in the CRUSH algorithm, highlights CRUSH's migration inefficiencies, and details how DPRD achieves near‑theoretical replica movement and balanced distribution during both expansion and shrinkage of a distributed storage system.
This guide explains the session‑sharing problem caused by load balancing, introduces Redis as a shared storage solution, and provides step‑by‑step instructions—including php.ini changes, runtime ini_set calls, and a custom session‑handler class—to configure PHP to store sessions in Redis, with code examples and verification commands.
This article explains practical techniques for designing high‑availability and scalable architectures across entry, business, cache, and database layers, helping developers handle rapid user growth without service interruptions.
This article explores the technical challenges of handling massive concurrent requests in e‑commerce flash‑sale and ticket‑booking systems, covering backend interface design, performance bottlenecks, overload protection, cheating mitigation, and data‑safety techniques such as optimistic locking and queueing.
This comprehensive tutorial walks Linux operators through the principles and practical setup of high‑concurrency load balancing using LVS, covering architecture, DR/NAT/TUN modes, kernel tuning, ipvsadm commands, Keepalived high‑availability, and detailed testing procedures to ensure robust, scalable services.
This article explains the concept of high concurrency, outlines a server architecture that supports it—including load balancing, distributed databases, NoSQL caches and CDN—and presents practical testing methods and implementation patterns such as caching strategies and message‑queue designs to handle massive simultaneous requests.
This article explains the fundamentals of load balancing, compares Layer 4 (IP + port) and Layer 7 (HTTP/URL) approaches, outlines common software and hardware solutions, discusses technical and security implications, and reviews strategies and implementation considerations for optimal network performance.
This article explains Nginx's role as a lightweight web and reverse‑proxy server, clarifies forward vs reverse proxy concepts, details the master‑worker architecture, hot deployment, high‑concurrency handling with epoll, and shows how to achieve high availability and load balancing using Keepalived, upstream blocks, and caching.
This article walks through the step‑by‑step evolution of a Java website—from a single‑machine setup to a multi‑tier, load‑balanced, sharded, cached, and service‑oriented architecture capable of handling billions of requests—detailing the challenges and solutions at each stage.
The article outlines a step‑by‑step evolution of a web application from a single‑machine deployment to a fully distributed architecture, covering server separation, clustering, load‑balancing algorithms, session handling, read‑write splitting, search engine integration, caching, database sharding, service‑oriented decomposition, and message‑queue middleware.
This article explains the fundamentals of distributed architecture, outlines its main applications such as distributed file systems, caches, databases and services, reviews its evolutionary stages from single‑server to clustered and cloud‑native designs, and discusses common operational challenges.
This guide walks through installing, compiling, and configuring Keepalived across multiple Linux nodes to create a VRRP‑based high‑availability web service cluster, covering prerequisites, virtual IP setup, load‑balancing rules, and monitoring tools.
This article reviews cloud gaming resource management, introduces search‑engine instance distribution techniques, explores AI‑based disk‑failure prediction and load forecasting, and presents replica and DDoS‑detection strategies to improve efficiency and reliability of large‑scale distributed systems.
This article explores the defining traits of large‑scale websites and walks through the step‑by‑step evolution of their architecture—from single‑server setups to distributed systems with caching, load balancing, database sharding, and micro‑services—while highlighting common design pitfalls and best‑practice recommendations.
This article explores the core components of a microservice foundation framework—including gateways, DevOps, Docker, security, load balancing, and service discovery—examines centralized vs. in‑process load‑balancing strategies, and reviews Netflix’s open‑source stack (Eureka, Zuul, Hystrix, etc.) as a reference implementation.
Xinhua integrates Huawei Cloud infrastructure with Esri's ArcGIS portal via the eSDK platform to enable flexible, load‑balanced GIS services, real‑time monitoring, and efficient remote collaboration, improving geographic data handling for news reporting and public opinion analysis.
This article explains how server‑side service discovery enables clients such as API gateways to locate dynamically changing microservice instances via a router or load balancer that queries a service registry, outlining requirements, solution architecture, examples like AWS ELB, benefits, drawbacks, and related patterns.
This guide explains how Nginx's rate‑limiting works, covering the leaky‑bucket algorithm, basic directives, burst and nodelay options, whitelist handling, logging, custom error codes, and advanced configuration examples for securing and optimizing HTTP request traffic.
This article explains the concept of load balancing in distributed systems, outlines its benefits for throughput and reliability, compares common architectural layers, evaluates key algorithmic considerations, and provides Python implementations of round‑robin, weighted, random, hash‑based, and least‑connection strategies along with deployment options.
Envoy is a cloud‑native L7 proxy and communication bus designed for modern service‑oriented architectures, offering out‑of‑process deployment, language‑agnostic operation, modern C++11 implementation, extensive L3/L4 and HTTP L7 filtering, HTTP/2, gRPC, database protocol support, service discovery, health checking, advanced load balancing, edge proxy capabilities, observability, and dynamic configuration.
This article explains why and when to move to distributed architecture, outlines the typical upgrade and splitting steps, and details five common distributed cluster patterns—including load balancing, leader election, blockchain, master‑slave, and consistent hashing—highlighting their trade‑offs and use cases.
This article summarizes the origins, core principles, typical evolution stages, and common toolkits of large website architecture, highlighting how network growth, performance demands, and scalability challenges drive the adoption of caching, load balancing, database sharding, CDNs, and distributed services.
This comprehensive guide walks through the full lifecycle of enterprise system architecture, covering access‑chain analysis, network and hardware foundations, virtualization and container strategies, layered design, load‑balancing, database high‑availability, service segmentation, and operational safeguards such as CMDB, monitoring, and disaster‑recovery.
This article explains the relationships among Storm's core components, how parallelism is calculated from configuration parameters, and how Nimbus performs task assignment and load balancing across workers, supervisors, and executors in a distributed streaming topology.
The article describes how a company replaced costly commercial load balancers with an open‑source architecture based on Nginx for layer‑4 traffic and a layer‑7 cluster, detailing project background, technology selection, redundant design, network and Nginx configurations, operational scripts, performance testing, and data analysis.
This guide walks beginners through the fundamental components of microservice infrastructure—configuration management, service registry, API gateway, authentication, message broker, BFF, circuit breaker, and load balancing—explaining their roles, interactions, and practical considerations for building resilient systems.
This article explains the fundamentals of load balancing, compares layer‑2 to layer‑7 approaches, reviews popular software solutions such as LVS, Nginx and HAProxy, and details both static and dynamic balancing algorithms with practical implementation guidance.
This article explains the fundamentals of load balancing, compares four‑layer and seven‑layer approaches, outlines their roles and advantages, and reviews popular software solutions and typical application scenarios for modern large‑scale web infrastructures.
This article explains the concept of load balancing, compares HTTP redirection, DNS load balancing, reverse proxy, and various LVS methods (NAT, Direct Routing, IP Tunnel), discusses their advantages, limitations, configuration steps, and practical considerations for building scalable server architectures.
The 2017 Double‑11 festival shattered records with 168.2 billion yuan in sales, and Alibaba Cloud’s VPC, load‑balancing SLB, NAT gateway, and high‑speed hybrid‑cloud network together ensured the massive traffic and payment spikes ran smoothly for millions of shoppers.
This article explains how 360’s Linux Virtual Server (LVS) platform evolved with the FULLNAT forwarding mode, enhancing cross‑VLAN deployment, simplifying real‑server configuration, adding SYN‑proxy protection, and improving UDP handling, while detailing the new deployment architecture and operational benefits.
This article shares practical experience on evolving a single‑server Java monolith into a scalable architecture by introducing Nginx reverse proxy, separating services and static resources, adopting load‑balancing strategies, implementing distributed sessions, enabling read/write separation, and applying CI/CD tools such as Docker, Jenkins, Git, and Maven.
This article explains the evolution of Alibaba Cloud's high‑performance load balancing, covering early LVS modes, Tengine integration, architectural improvements, and multi‑region high‑availability designs that together deliver massive throughput, fault tolerance, and flexible deployment for cloud services.
This article reviews Alibaba Cloud's high‑performance load‑balancing solution, explaining the evolution from basic load‑balancing concepts to the architecture of LVS and Tengine, detailing their modes, optimizations, high‑availability designs across groups, AZs and regions, and outlining current use cases and future directions.
This article explains how load balancing and reverse proxy mechanisms such as Nginx, Consul, and Hystrix work together with various isolation strategies—including thread, process, cluster, data‑center, and resource isolation—to improve system reliability and scalability in large‑scale web architectures.
This article examines the technical challenges of handling massive concurrent requests during flash‑sale and ticket‑buying events, offering practical backend design, performance tuning, anti‑cheat measures, and data‑safety techniques to keep web systems stable under extreme load.
This article explores the principles and components of large‑scale internet architecture, covering goals such as low cost, high performance, availability and scalability, and detailing practical implementations of DNS, CDN, load balancing, web services, caching, proxies, indexing, and queueing to build robust, efficient systems.
The article describes the motivation, architecture, FullNat forwarding process, high‑availability mechanisms, and performance‑optimizing techniques of TVS, a custom four‑layer load‑balancing platform built to overcome LVS limitations and meet the company’s demanding traffic and reliability requirements.
This article explains Alibaba Cloud's Server Load Balancer (SLB) architecture and its four-tier high‑availability design—application processing, cluster forwarding, cross‑zone disaster recovery, and cross‑region disaster recovery—detailing both product features and user‑side best practices.
This article presents a step‑by‑step operations‑focused roadmap for evolving a website from a single‑server prototype to a highly available, horizontally scalable architecture using load balancing, caching, database replication, service‑oriented design, DNS round‑robin, CDN, and disaster‑recovery techniques.
This article explains how a web system can evolve from handling 100,000 daily visits to over 100 million by progressively implementing multi‑level caching, various load‑balancing techniques—including HTTP redirects, reverse‑proxy, IP‑level, DNS, and GSLB—and optimizing MySQL through indexing, connection pooling, sharding, replication, and integrating memory caches such as Redis to ensure high performance and reliability.
This article dissects the technical challenges of building a high‑concurrency flash‑sale (seckill) system—covering business analysis, traffic isolation, static page caching, CDN bandwidth, dynamic order URLs, request throttling, database sharding, optimistic locking, and anti‑cheat mechanisms—while presenting concrete architectural principles and code examples.
This article traces the evolution of game server architectures across seven types, from early weak‑interaction HTTP servers and the first MUD systems to modern seamless, dynamically balanced, and P2P‑enabled back‑ends, highlighting design choices, scalability challenges, and practical implementation details.
Alibaba’s eight‑year evolution of Double 11 showcases how limited cost can deliver maximal user experience and massive throughput by transitioning from a centralized 3.0 distributed architecture to multi‑active zones, employing capacity planning, full‑link stress testing, fine‑grained dependency governance, and dynamic traffic scheduling to ensure high availability.
This article explains how website systems achieve scalability through architectural designs such as physical function separation, server clustering, various load‑balancing techniques, distributed cache mechanisms, and both relational and NoSQL database scaling methods, providing practical guidance for large‑scale web deployments.
The article details Meizu's massive real‑time push system handling 25 million online users and 600 million messages per minute, explains its four‑layer architecture, and shares how the team tackled phone power consumption, mobile network instability, massive connections, monitoring, and gray‑release deployment.
The article outlines the progressive architectural stages of large‑scale websites—starting with a single‑server setup and advancing through service separation, caching, load balancing, database read/write splitting, CDN/reverse proxy, distributed storage, NoSQL, business splitting, and distributed services—to illustrate how high concurrency, massive traffic, high availability, and massive data are handled.
This article explains the layered architecture of large‑scale web systems, covering flexible component choices, load distribution strategies, business service and communication layers, storage options from file to object systems, and key evaluation criteria such as cost, scalability, security, and maintainability.
This article explains the fundamentals of database sharding, including horizontal partitioning, routing, load balancing, clustering, and read/write separation, and discusses practical strategies such as range, hash, and mapping partitions to improve scalability, availability, and performance for high‑traffic web applications.
This article reviews Ctrip's two‑year architecture transformation, describing the limitations of the legacy Croller release system, the design of a new group‑based configuration model, the introduction of seven‑layer load balancing and the TARS deployment platform, and detailing the implementation of a unified configuration management system (CMS) to improve operational efficiency and reliability.
The article explains how high‑concurrency systems can be built by decomposing workloads through optimistic locking, read‑write database splitting, resource separation with CDN acceleration, dynamic‑to‑static conversion, caching, and load‑balancing strategies, providing practical code examples for each technique.
This article details Meizu’s private cloud platform built on Kubernetes, covering cluster architecture, single-image deployment, master and minion configurations, Calico networking, 4/7‑layer load balancing, monitoring with Prometheus, logging pipelines, automated deployment, multi‑datacenter strategies, and performance optimizations for a robust, low‑cost infrastructure.
This step‑by‑step guide shows how to set up two Tomcat instances, configure Nginx as a reverse‑proxy load balancer, and use Redis to share session data, solving session‑loss issues in a simple load‑balanced environment.
This article outlines the design principles and architectural strategies for constructing a high‑concurrency, high‑availability e‑commerce platform, covering space‑time tradeoffs, caching layers, indexing techniques, parallel and distributed computing, load balancing, stateless services, resource optimization, fault tolerance, data storage options, and real‑time processing components.
This article explains the concepts of distributed clusters and load balancing, contrasting clusters and distributed systems with real‑world analogies, describing various load‑balancing techniques such as DNS, LVS, and reverse proxies, and offers practical guidance on designing simple, reliable, and efficient load‑balancing solutions for distributed back‑ends.
This article explains how 360’s Linux Virtual Server (LVS) platform has progressed over six years, introducing the FULLNAT forwarding mode, Syn‑Proxy attack protection, a new UDP‑friendly tunnel design, and an enhanced redundant deployment architecture to improve performance, security, and scalability.
Microservices architecture introduces technical concerns such as service registration, discovery, load balancing, health checks, front-end routing, fault tolerance, dynamic configuration, and framework selection, with common solutions ranging from centralized and in-process load balancers to Netflix and Spring Cloud components.
This article explains how Facebook Live handles millions of concurrent streams and viewers by using a multi‑layer edge cache system, request merging, and load balancing to achieve high‑availability, low‑latency video delivery at massive scale.
Facebook Live must support millions of concurrent streams and viewers, so its architecture uses a multi‑layer edge‑cache system, request merging, and load balancing to filter traffic, reduce streaming server load, and prevent request leakage, ensuring high performance during traffic spikes.
This article explains the design and improvements of WeChat's MQ 2.0 asynchronous queue, covering its cross‑machine consumption model, enhanced task scheduling, MapReduce‑style processing, stream tasks, and robust overload protection that together enable high‑performance, resilient backend services.
The article introduces WeChat's self‑developed MQ 2.0 asynchronous queue, detailing its architecture, cross‑machine consumption model, improved task scheduling, efficient processing frameworks—including a MapReduce‑style engine and streaming tasks—and robust overload protection mechanisms that together boost reliability and performance for large‑scale backend services.
This article walks through the evolution of a website from a single‑server setup to a distributed, high‑performance architecture, covering service separation, caching strategies, server clustering, load balancing, database replication, CDN acceleration, distributed storage, NoSQL adoption, and modular business decomposition.
This article explains load‑balancing concepts and demonstrates Java implementations of several algorithms—including Round Robin, Random, source‑IP hash, weighted round robin, weighted random, and least‑connections—while discussing their advantages, drawbacks, and concurrency considerations.
This article explains the concept of load balancing, compares HTTP redirection, DNS‑based balancing, reverse‑proxy methods, and Linux Virtual Server techniques (LVS‑NAT, LVS‑DR, LVS‑TUN), detailing their mechanisms, performance trade‑offs, configuration commands, and practical deployment considerations for scalable server infrastructures.
This article explains various load‑balancing techniques—including HTTP redirects, DNS‑based balancing, reverse‑proxy solutions, and Linux Virtual Server methods (LVS‑NAT, LVS‑DR, LVS‑TUN)—detailing their principles, advantages, limitations, and practical configuration commands.
This article explains the concept of load balancing and provides Java implementations of several common algorithms—including Round Robin, Random, Source‑IP Hash, Weighted Round Robin, Weighted Random, and a discussion of Least Connections—highlighting their principles, advantages, drawbacks, and concurrency considerations.
This article explains common load‑balancing strategies—round‑robin, random, minimum response time, minimum concurrency, and hash—detailing their principles, advantages, drawbacks, and mathematical reliability analysis, including probability formulas and visual illustrations to help choose the most fault‑tolerant approach for distributed systems.
The article reviews hardware and software load‑balancing, explains classic strategies such as round‑robin, random, minimum‑response‑time, least‑connections and hash, and quantitatively evaluates their fault‑tolerance using probability formulas and example scenarios in distributed systems.
This step‑by‑step guide shows how to prepare two Tomcat servers, create a simple web project, configure Nginx as a reverse‑proxy load balancer with various strategies, start the services on Windows, and verify that requests are distributed across the Tomcat instances.
This article explains the key challenges of high availability and scalability in distributed architectures and provides practical solutions for each layer—entry, business, cache, and database—using techniques such as heartbeat IPs, stateless services, consistent hashing, and sharding.
This article compares three popular open‑source proxy servers—Nginx, HAProxy, and Varnish—detailing their performance, features, and ideal use‑cases, helping ops and network engineers decide which solution best fits high‑availability, high‑concurrency environments while considering maintenance overhead and resource consumption.
This article explains the principles of load balancing, distinguishes stateless service and stateful data balancing, describes DNS, hardware and software solutions such as F5, HAProxy, LVS, and GSLB, and illustrates real‑world implementations at Alibaba and Tencent while offering practical guidance on sharding, caching, and fault tolerance.
This article provides a comprehensive overview of Linux Virtual Server (LVS) load‑balancing clusters, detailing core concepts, packet‑flow mechanisms, key terminology, NAT/DR/TUN modes, scheduling algorithms, step‑by‑step configuration scripts, and high‑availability setup with keepalived, all illustrated with diagrams and command examples.
This article chronicles the evolution of a LNMP‑based website from a single‑machine setup to a multi‑server architecture handling millions of daily visits, detailing each scaling stage—including adding a database server, introducing memcached, implementing MySQL read‑write separation, load balancing, and NoSQL integration.
This article chronicles the step‑by‑step evolution of a LNMP‑based website, detailing how increasing traffic drove architectural changes such as separating web and database servers, adding memcached, implementing MySQL master‑slave replication, load balancing, NFS sharing, and finally integrating NoSQL caching to handle millions of daily visits.
This article explains HAProxy’s role as a free, open‑source Linux load balancer, compares Layer 4 (TCP) and Layer 7 (HTTP) balancing, discusses SSL handling, and provides detailed installation and configuration steps—including package and source builds, global settings, defaults, and health‑check options.
This article examines various business load scenarios for a logistics management system and presents four progressive load‑balancing architectures—ranging from simple Nginx/Haproxy to DNS round‑robin with LVS and Keepalived—while defining key performance terms and outlining future discussion topics.
This article explains how load balancers act as the nervous system of web applications, compares hardware versus open‑source solutions, and details why HAProxy—especially in TCP (layer 4) mode—often outperforms Nginx for high‑performance reverse proxy and load‑balancing tasks.
This article outlines practical strategies for optimizing the LNMP stack—including load balancing, server tuning, caching, and database improvements—to enhance performance, scalability, and reliability of web applications across various programming languages.
This article outlines the design and implementation of high‑concurrency systems, covering server architecture, load balancing, database clustering, caching strategies, message‑queue based asynchronous processing, static data handling, and operational best practices such as monitoring, redundancy, and automation.
This article explains how to improve service availability and optimal user routing by comparing traditional DNS‑based access with advanced techniques such as smart DNS, smart routing, CDN multi‑point access, and global server load balancing (GSLB), highlighting their advantages, drawbacks, and practical deployment considerations.
This article presents a detailed walkthrough of a typical web system architecture, covering layered components, load‑balancing strategies, business service and communication layers, storage options from file to object stores, and key criteria for evaluating architecture such as cost, scalability, security, and disaster recovery.
This article explores Nginx’s built‑in and extended load‑balancing algorithms—including weighted round‑robin, IP‑hash, fair, generic‑hash and consistent‑hash—by dissecting source code, explaining implementation details, and presenting comprehensive performance tests that compare their balance, consistency, and fault‑tolerance across varied scenarios.
This article explains what an LVS cluster is, outlines its types (LB, HA, HP), details common LVS deployment modes (nat, dr, tun) and their features, describes scheduling algorithms, and provides practical ipvsadm commands and configuration examples for building and managing high‑availability Linux load‑balancing clusters.
This article examines the critical factors influencing web performance—including network latency, TCP/HTTP protocols, browser rendering, and server-side architecture—and provides practical optimization techniques such as TCP tuning, HTTP/2 adoption, resource compression, caching, load balancing, and distributed design to achieve fast, scalable web services.
This step‑by‑step guide shows how to provision a Tencent Cloud VM, install Nginx, PHP‑FPM and MySQL client, download and configure WordPress, set up its database, enable horizontal scaling with a load balancer, share the VM image, and finally clean up the database.
This article summarizes the evolution, patterns, and five core factors—performance, availability, scalability, extensibility, and security—of large‑scale website architecture, covering server tiers, caching, clustering, load balancing, data redundancy, and security measures.
This article walks through a hands‑on packet‑capture experiment comparing HAProxy and Nginx load‑balancing behavior, showing how HAProxy’s health‑check interval can cause request loss during backend failures while Nginx continues to serve traffic.
This article explains the architecture and challenges of network‑based scheduling systems, CDN and DNS‑driven video playback, the structure of the QQWry IP database, and proposes efficient IP‑based routing and quality‑monitoring methods for large‑scale backend services.
Meituan’s self‑developed MGW replaces LVS with a DPDK‑based four‑layer load balancer that handles tens of gigabits per second and millions of concurrent connections by eliminating interrupts and locks, isolating control and data planes, and providing OSPF‑ECMP clustering with seamless failover and session synchronization.
Google’s internal Maglev load balancer, described in a recent research paper, bypasses the kernel to operate directly on the NIC, uses ECMP routing, consistent hashing, and memory‑shared queues to achieve sub‑microsecond packet processing while scaling horizontally across clusters.
This article presents a comprehensive guide on building a VOIP service for overseas users, covering VOIP fundamentals, open‑source PBX selection, SIP client libraries, demo deployment, load‑balancing with Kamailio, high‑availability via Keepalived, NAT handling, TLS/SRTP support, and troubleshooting techniques.
This article walks through the typical evolution of a growing website—from separating web and database servers to adding caching layers, load balancing, sharding, and distributed systems—explaining why each change is needed and what knowledge areas it touches.
