This guide explains how to configure Nginx load balancing and reverse‑proxy features, covering upstream blocks, server directives, ip_hash, logging variables, and essential proxy_* directives with clear code examples and usage tips.
The article traces Bilibili’s customer‑service seat scheduling system from its initial balanced‑distribution algorithm and Redis‑based priority queues for live chat and ticket handling, through fairness‑focused saturation limits and virtual‑queue mechanisms, to planned dynamic tuning and expertise‑aware routing for future scalability.
This guide explains the fundamentals of Keepalived, its key features, VRRP‑based high‑availability architecture, step‑by‑step installation and configuration of Keepalived and Nginx on master and backup servers, scripts for health checks, split‑brain causes and solutions, and Zabbix monitoring to detect and alert on HA failures.
The article explains how to design resilient applications by identifying critical paths, adding redundant components, using formulas for overall availability, and applying best‑practice recommendations such as multi‑zone/region deployment, load‑balanced VMs, database replication, and thorough testing of failover mechanisms.
The new Rainbow Bridge architecture replaces the SLB‑based load‑balancing model with a self‑managed, multi‑AZ metadata center and enhanced SDK that aggregates node health, provides zone‑aware weighted routing, supports rapid failover and manual overrides, and delivers faster recovery and scalable traffic handling.
This article explains the core concepts of Linux Virtual Server (LVS), details its four operating modes—NAT, Direct Routing, TUN, and FULLNAT—and provides step‑by‑step configuration guidance, including ARP handling and kernel parameter tweaks for reliable load balancing.
This guide walks through configuring Nginx as a reverse‑proxy load balancer, setting up Keepalived for high‑availability, writing monitoring scripts, and testing failover on a CentOS 8 environment with multiple web servers.
This guide explains the core concepts of Linux Virtual Server (LVS), detailing its key components, client request flow, and the four operating modes—NAT, Direct Routing, TUN, and FULLNAT—along with practical ARP handling and mode‑by‑mode comparisons for effective load balancing.
This article defines high concurrency, outlines QPS thresholds for small, medium, high, and ultra‑high traffic, and presents practical solutions such as multi‑level caching, load balancing, database sharding, and message‑queue traffic shaping to build robust backend systems.
This article details the end‑to‑end architecture and step‑by‑step performance tuning of a high‑traffic lottery platform, covering server‑level rate limiting, application‑level throttling, semaphore usage, user‑behavior detection, caching strategies, database optimizations, and hardware upgrades that together enabled stable handling of millions of daily requests.
This tutorial walks through installing HAProxy, configuring global, defaults, listen, frontend, and backend sections, setting up ACL‑based routing, defining server groups for default, website, and blog services, testing load‑balancing behavior, and accessing the HAProxy statistics page, all with complete command‑line examples.
This article explains the Linux Virtual Server (LVS) load‑balancing architecture, defines key terms such as VS, RS, VIP, DIP, and CIP, and details the four operating modes—NAT, DR, TUN, and FULLNAT—including their workflows, configuration steps, and practical considerations.
This article explains how to configure Nginx load balancing and reverse proxy, covering upstream blocks, server weighting, ip_hash, logging variables, and essential proxy directives with practical code examples for robust backend traffic management.
This article introduces MetalLB, an open‑source load‑balancing solution for self‑managed Kubernetes clusters, explains its deployment requirements, operating principles, Layer 2 and BGP modes, and provides step‑by‑step installation and verification instructions using Kubernetes manifests, Helm, and Kustomize.
This article details the end‑to‑end architecture, rate‑limiting strategies, caching layers, database optimizations, and hardware upgrades that enabled a lottery service to handle daily traffic exceeding one million users during peak promotional events.
This comprehensive guide explains Linux Virtual Server (LVS) fundamentals, its general architecture, various load‑balancing modes (NAT, DR, TUN, FULL‑NAT), scheduling algorithms, persistent‑connection options, and provides step‑by‑step ipvsadm commands and scripts for deploying and managing LVS clusters on CentOS 7.
Learn how Linux Virtual Server (LVS) works, covering core concepts such as VS, RS, VIP, DIP, and CIP, and explore its four operating modes—NAT, Direct Routing, TUN, and FULLNAT—along with detailed workflow diagrams, configuration tips, and practical considerations for deployment.
This guide explains how to optimize Nginx settings and adjust Linux kernel parameters—such as worker processes, connection limits, caching, HTTP/2, rate limiting, and TCP tweaks—to reliably handle massive traffic spikes while maintaining high availability and performance.
The article explains what high concurrency means, defines TPS thresholds for moderate, high, and ultra‑high traffic, and outlines key backend techniques such as distributed and microservice architectures, caching, load balancing, traffic shaping, and rate‑limiting/circuit‑breaking to handle massive request volumes.
This guide walks through planning a four‑layer reverse‑proxy cluster, installing Nginx, configuring load‑balancing streams, setting up keepalived high‑availability with master/backup modes, testing failover, and troubleshooting common keepalived issues on Linux servers.
This article explains port reuse techniques, covering scenarios, protocol characteristics, and step‑by‑step configurations for Nginx (OpenResty) and HAProxy to route multiple services through one port, improving resource utilization and high availability.
The article explains, using a startup scenario, how a single‑server setup leads to performance bottlenecks and single‑point failures, prompting the adoption of load balancing with Nginx and an additional gateway layer for authentication, security, and traffic control, while also containing promotional material for development tools.
This article explains how to build a lossless flash‑sale system that can handle massive, simultaneous traffic by using system isolation, multi‑level caching, rate‑limiting, RPC grouping, and asynchronous message queues to smooth peaks without sacrificing performance.
The article explains fault isolation as a key technique for improving distributed system availability, detailing multiple isolation levels—from data‑center to user‑level—and complementary strategies such as circuit breakers, timeouts, fast‑fail, load balancing, caching, and degradation switches.
This article explains gray (canary) release concepts and demonstrates two practical Nginx-based methods—weight distribution and client‑request routing—complete with configuration snippets, enabling safe incremental rollouts and A/B testing for production systems.
Learn how to set up Nginx as a front‑end load balancer for web applications, define upstream servers and proxy_pass directives, and apply round‑robin, least‑connected, ip‑hash, weight, timeout, and backup server options to optimize traffic distribution and reliability.
This article presents a typical multi‑layer system architecture, examines the theoretical performance limits of each component—including load balancers, HTTP servers, Redis, message queues, relational databases and network bandwidth—and evaluates whether the combined stack can sustain one million concurrent requests.
This article explains the evolution from monolithic to microservice architectures, introduces Spring Cloud Alibaba and Nacos for service discovery and governance, provides step‑by‑step installation and configuration instructions, and demonstrates load balancing with Ribbon, including essential code snippets for quick adoption.
Learn how to create a fast, modular HTTP load balancer using Rust’s Pingora framework, covering its core advantages, step‑by‑step project setup, code walkthrough, testing, and advanced features like health checks, service discovery, SSL offloading, and traffic control.
RocketMQ stores messages in a sequential CommitLog while using a ConsumerQueue index for fast random access, and employs two looping threads—RebalanceService for load‑balancing queue assignments and PullMessageService for continuously pulling messages and dispatching them to user callbacks via a thread‑pooled consumer pipeline.
This article explains the purpose, architecture, configuration steps, TLS setup, validation, technical selection, controller operation, reload process, high‑availability design, customization options, and future roadmap of the Kubernetes Ingress NGINX solution for seven‑layer load balancing.
This article explains what an API gateway is, outlines its core functions such as routing, load balancing, security, rate limiting, aggregation and caching, and reviews ten popular gateway solutions—including Amazon API Gateway, Kong, Apigee, NGINX, Tyk, MuleSoft Anypoint, Azure API Management, IBM API Connect, Kubernetes‑native options, and Traefik—highlighting their key features and typical use cases.
This guide explains how to create a high‑availability web load‑balancing cluster using Linux Virtual Server (LVS) and Keepalived on CentOS, covering background, terminology, environment setup, detailed configuration steps for master and backup nodes, real‑server preparation, HA testing, and final conclusions.
This article examines the progression of load‑balancing techniques used in JD's advertising online model system, analyzing current challenges, outlining requirements, reviewing static and dynamic strategies, and presenting a multi‑objective, hierarchical approach that improves service availability, resource utilization, and overall system stability.
This article explains how Feign performs remote calls using a registration center and Ribbon for load balancing, details Ribbon's internal mechanisms such as RibbonClientConfiguration, ZoneAwareLoadBalancer, various load‑balancing rules, and demonstrates how to enable eager‑load mode to reduce first‑call latency.
Exploring the evolution of JD’s advertising online model system, this article examines the challenges of heterogeneous hardware load balancing, outlines static and dynamic strategies—including DNS, Nginx, LVS, Ribbon, and Dubbo—and presents a multi‑objective framework that improves service availability and resource utilization, achieving up to 20%+ efficiency gains.
This guide walks through Nginx’s four primary load‑balancing methods—round‑robin, weighted, IP‑hash, and least‑connections—explaining their principles, when to use each, and providing complete configuration examples and code snippets to help you distribute traffic efficiently across multiple backend servers.
This guide walks you through installing Docker Compose, creating and configuring docker‑compose.yml files, launching multi‑service applications, scaling containers, integrating HAProxy for load balancing, managing sockets with socat, and exploring advanced Compose directives such as build, depends_on, deploy, logging, network_mode, and secrets.
This article examines the evolution, theory, and practical implementation of load balancing strategies for JD Advertising's online model system, focusing on heterogeneous hardware clusters, dual‑objective optimization of service availability and resource utilization, and the resulting performance improvements in large‑scale production environments.
The article examines the rapid growth of AI‑driven compute demand, explains why conventional ECMP load balancing struggles with uneven, high‑bandwidth flows in data‑center networks, and compares advanced strategies such as Fat‑Tree design, VoQ, flow‑based, packet‑based, flowlet, and cell‑based approaches, including vendor implementations.
This course covers Nginx installation, process control, reload, configuration loading, static service, HTTP and gRPC reverse proxy, load balancing, and demonstrates building simple static servers in Go, Python, PHP, C, and C++ to deepen understanding of Nginx’s core principles.
The article explains why deploying only Tomcat without Nginx is impractical due to DNS IP limits, scaling costs, lack of health checks, and static file handling, and demonstrates how Nginx provides load balancing, failover, virtual hosting, and reverse‑proxy capabilities with concrete configuration examples.
This article presents nine comprehensive performance‑optimization strategies—including load balancing, sharding, read/write separation, caching, indexing, CDN, asynchronous processing, code refinement, and algorithm improvement—aimed at boosting the efficiency and scalability of large‑scale backend systems.
This article outlines eight fundamental microservice governance techniques—including service registration and discovery, load balancing, circuit breaking, security, monitoring, configuration management, and API gateway—to help architects design reliable, secure, and maintainable cloud‑native systems.
This article explains why native Kubernetes Service load balancing is limited, introduces the richer algorithms offered by Alibaba Cloud Service Mesh (ASM) such as RANDOM, ROUND_ROBIN, LEAST_REQUEST, and PEAK_EWMA, and provides a step‑by‑step deployment and testing guide to illustrate their behavior in real scenarios.
This article details how a large‑scale lottery service was architected and tuned for extreme traffic spikes by applying server‑side rate limiting, application‑level throttling, behavior‑based filtering, caching strategies, database optimizations, and hardware upgrades, resulting in a ten‑fold performance improvement.
This article explains the principles, core implementations, performance trade‑offs, and typical use cases of 4‑layer (transport‑level) and 7‑layer (application‑level) gateways, helping readers understand how each operates within the OSI/TCP‑IP models and choose the appropriate solution for their network architecture.
This article explains how modern web architectures use server clusters and load balancers, compares the three most popular software solutions—LVS, Nginx, and HAProxy—covers their architectures, operating modes, advantages, disadvantages, and provides guidance on selecting the right tool for different traffic scales.
The article explains why deploying only Tomcat without Nginx leads to scaling, cost, and reliability problems, and demonstrates how Nginx’s health‑check, failover, and virtual‑host features complement Tomcat to build a robust, production‑grade web architecture.
This article explains how Kubernetes routes traffic from a pod to a Service and back to another pod, details the role of kube‑proxy with iptables or ipvs, and discusses how long‑lived connections are managed and potential load‑balancing issues.
This article walks through the evolution from a single‑Tomcat deployment to a multi‑layer load‑balancing architecture using Nginx, a gateway, LVS, and DNS, explaining static‑dynamic separation, high‑availability strategies, and performance trade‑offs for scalable backend systems.
This article provides a comprehensive overview of Spring Cloud, detailing its core components—including Zuul, Eureka, Ribbon, Feign, Config, and Sleuth—their definitions, roles, underlying principles, and how they work together to enable robust microservice architectures.
This article explains how Kubernetes' kube-proxy component implements service discovery and load balancing using two modes—iptables and ipvs—detailing the underlying packet‑processing chains, NAT rules, probability‑based forwarding, and the performance differences between the two approaches.
This guide walks through installing Docker on Debian hosts, creating a Swarm cluster, exposing required ports, visualizing the cluster with Portainer, deploying sample services, scaling them, and implementing load balancing with Nginx, all illustrated with command snippets and screenshots.
This article provides a detailed, step‑by‑step tutorial on Nginx, covering its purpose, core features, installation on Linux, essential commands, configuration file structure, practical examples for static serving, reverse proxy, load balancing, HTTPS, security hardening, health checks, and load‑balancing algorithms.
This article explains the concept of high‑availability architecture and details eight practical solutions—including redundant servers, load balancers, data backup strategies, security measures, redundancy patterns, automated operations, and monitoring/alert systems—to help large‑scale sites achieve continuous, fault‑tolerant service.
This guide walks you through Nginx fundamentals—including its role as a web server, proxy, reverse proxy, and load balancer—followed by step‑by‑step installation, configuration examples, and essential commands for managing a production‑grade Nginx setup.
This article explains how IPVS (IP Virtual Server) provides layer‑4 load balancing in Linux, compares it with iptables, details its reliance on iptables, outlines the various LVS scheduling algorithms, and provides practical ipvsadm commands for setting up a load‑balancing cluster with real servers.
As AI workloads push intelligent compute power growth beyond 50% CAGR, data‑center networks face massive parallel paths, making traditional ECMP load‑balancing insufficient and causing severe congestion, while newer granular schemes such as packet‑spraying, flowlet, and cell‑based balancing offer higher bandwidth utilization and fairness.
Building a scalable backend requires a distributed architecture complemented by caching, optimized database queries, robust monitoring, message queues, load balancing, horizontal scaling with containers, CDN integration, auto‑scaling, and a microservices design to ensure performance, reliability, and seamless growth under increasing demand.
This tutorial walks through planning the NAT architecture, preparing hosts, configuring Linux route, LVS, and rs servers, installing httpd, setting up ipvsadm load‑balancing rules, testing client access via gateway or direct router IP, and persisting the configuration for a reliable Linux LVS NAT solution.
Bilibili’s downstream CDN was rebuilt from a tightly‑coupled scheduler model into a cloud‑native architecture featuring separate gateway, cache, back‑origin and control services that provide layer‑4 and layer‑7 load‑balancing, cluster‑wide health checks, centralized routing, and a refactored NGINX slice module, cutting latency by 40 % and dramatically reducing incidents.
This article explains what high concurrency is, why it matters for large‑scale systems, and presents practical techniques such as distributed caching, load balancing, database optimization, traffic shaping, and distributed architecture to dramatically improve a backend's ability to handle massive simultaneous requests.
This article explains why Nginx is renowned for high performance and details the architectural components—master and worker processes, event‑driven non‑blocking I/O, memory pooling, load‑balancing, caching, modular design, and proxy mechanisms—that enable it to sustain millions of simultaneous connections.
This article explains the role of Nginx load balancing, compares common algorithms such as Round Robin, Weighted Round Robin, and IP Hash, and provides a step‑by‑step configuration example with detailed parameter explanations for building a robust backend traffic distribution system.
This guide explains how to design and deploy a highly available web load‑balancing cluster using Linux Virtual Server (LVS) together with Keepalived, covering architecture, required software, configuration steps for both master and backup nodes, real‑server setup, and HA testing procedures.
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 presents a detailed case study of optimizing a distributed batch processing system by replacing static shard‑key concurrency with a dynamic task‑grabbing mechanism, dramatically reducing execution time from several hours to under fifteen minutes while maintaining stable resource usage.
This article explains the concept and importance of load balancing, then demonstrates a practical Docker‑Compose setup with multiple PHP containers and an Nginx reverse proxy, including configuration files and test results that show how traffic is distributed to improve system reliability and performance.
This article explains the role of load balancing in distributed systems and details five common strategies—Round Robin, Weighted Round Robin, IP Hash, Least Connections, and Least Response Time—highlighting their mechanisms, advantages, drawbacks, and suitable scenarios for optimal system performance.
By integrating Intel QuickAssist hardware and AVX‑512 software acceleration into the VUA component of Vivo’s load‑balancing platform, the article demonstrates asynchronous OpenSSL offloading that boosts HTTPS forwarding throughput to roughly 44 000 QPS with QAT cards and 51 000 QPS with software, while preserving scalability and security.
This article explains what a service gateway is in a microservice architecture, outlines its key responsibilities such as routing, load balancing, traffic control, security, and monitoring, and compares popular gateway solutions to help you choose the right one for your system.
This article explains how a high‑throughput, low‑latency flight search system handles billions of daily requests by employing multi‑level caching, distributed Redis and MongoDB stores, AI‑driven TTL optimization, and advanced load‑balancing techniques such as pooling and overload protection.
This article presents a comprehensive guide to high‑concurrency architectural techniques—including microservice decomposition, load‑balancing strategies, distributed caching, asynchronous processing, database sharding, message‑queue integration, rate‑limiting and circuit‑breaking, as well as distributed database options—targeted at building scalable backend systems.
This article introduces the NGINX Config visual generator, outlines its key features such as high‑performance static handling, reverse proxy, load balancing, and security options, and provides complete example configuration files with detailed code snippets for main, site, PHP, and security settings.
The article analyzes the extreme‑traffic challenges of the 12306 ticket‑seckill service, presents a layered load‑balancing architecture, compares inventory‑deduction strategies, and demonstrates a complete Go‑based prototype with Nginx weighted round‑robin, Redis stock management, and ApacheBench performance testing.
This article presents a systematic overview of essential distributed architecture concepts—including load‑balancing principles, message‑queue mechanisms, microservice design, Redis cache challenges, idempotency solutions, distributed ID generation, single sign‑on, and database sharding—offering practical insights for building high‑performance, scalable backend systems.
This article provides an in‑depth overview of load balancing, covering its necessity, functions, principles, algorithms, and classifications across OSI layers, and compares popular software solutions for implementing four‑ and seven‑layer load balancers in modern distributed systems.
This article explains the fundamentals of load balancing, covering its principles, classifications from layer 2 to layer 7, common software implementations, and typical application scenarios such as high traffic handling, horizontal scaling, fault tolerance, and multi‑zone disaster recovery.
This article explains why keeping the client source IP in an Istio service mesh matters, outlines the reasons for IP loss, and provides step‑by‑step solutions for north‑south and east‑west traffic using Service settings, traffic policies, and Envoy headers.
This article explains how Spring Cloud Commons abstracts service discovery, load balancing, and circuit breaker patterns, covering annotations like @EnableDiscoveryClient, SimpleDiscoveryClient configuration, service registration, RestTemplate and WebClient load balancing, network interface filtering, HTTP client factories, and creating custom features for Spring Cloud applications.
This article walks through the complete lifecycle of a request handled by Envoy, covering terminology, network topology, configuration details, listener and filter chain processing, TLS transport sockets, HTTP/2 encoding/decoding, routing, load balancing, and post‑request cleanup, illustrated with diagrams and sample YAML configuration.
This article provides a comprehensive overview of Dubbo's six built‑in load‑balancing strategies—Random, Round Robin, Least Connection, Consistent Hash, Weighted Random, and Weighted Round Robin—explaining their principles, suitable scenarios, and exact XML configuration examples for Java RPC services.
This article walks you through building a scalable system—from a single‑server prototype to a multi‑data‑center design that uses load balancers, database replication, caching, CDNs, stateless layers, message queues and automated monitoring—to handle traffic from hundreds of thousands to millions of users.
This article provides a comprehensive overview of distributed architecture, covering its definition, core benefits such as performance, availability, scalability, and fault tolerance, and detailing major categories like microservices, distributed databases, storage systems, computing, communication, load balancing, security, and transactions.
Load balancing, essential for distributed systems and microservices, boosts performance, ensures high availability, provides scalability, improves user experience, and adds security layers, making it a critical technique for modern architecture.
This article explains how to evolve a single‑server application into a highly available, horizontally scalable system that can serve over a million users by introducing load balancers, database replication, caching layers, CDNs, stateless network design, multi‑data‑center deployment, and message queues.
This article walks through the step‑by‑step process of turning a single‑server prototype into a highly available, horizontally‑scaled system that can serve over a million users, covering server configuration, database selection, load balancing, caching, CDN, stateless networking, multi‑data‑center deployment, message queues, monitoring, and sharding strategies.
This guide walks you through expanding a single‑server application into a highly available, horizontally‑scaled architecture that can serve over a million users by adding load balancers, database replication, caching layers, CDNs, stateless network design, multi‑data‑center support, message queues, monitoring and automation.
This article analyzes the CPU‑heavy routing and load‑balancing modules of Dubbo in a large‑scale microservice cluster, identifies O(n) traversal as the root cause, and presents a step‑by‑step redesign—including disabling unused routers, caching route results with epoch validation, BitMap‑based intersection, and grouped routing—that reduces CPU usage by up to 27% and doubles TPS when provider instances exceed 2,000.
This article analyzes Elasticsearch shard imbalance incidents, explains the built‑in shard balancing algorithm and its configuration parameters, demonstrates weight calculations with source code, and proposes practical improvements—including shard count adjustments and a custom load‑aware balancing tool—to achieve more effective cluster load distribution.
Apache Pulsar, a cloud‑native distributed messaging platform, solves Didi Big Data’s DKafka bottlenecks by separating compute and storage, using sequential log writes, heterogeneous disks, multi‑level caching, bundle‑based load balancing and automatic scaling, dramatically improving stability while introducing richer monitoring complexity.
This comprehensive guide introduces Nginx as a high‑performance web and reverse‑proxy server, explains its core features such as virtual hosting, load‑balancing strategies, and detailed security hardening techniques, and provides practical configuration examples for production environments.
This article explores the end‑to‑end design of a modern dating platform, covering requirement analysis, micro‑service architecture, gateway routing, sharded MySQL, CDN caching, matchmaking, recommendation scoring, high‑concurrency strategies, load balancing, database optimization, message queues, and spatial proximity algorithms such as grid, quadtree, and GeoHash.
This article details the design, evolution, and best‑practice implementation of load‑balancing for ASR (speech‑recognition) services in Ctrip's massive call‑center, covering component architecture, MRCP integration, challenges with traditional balancers, and two practical solutions using FreeSWITCH distributor and OpenSIPS.
This article provides a detailed introduction to Nginx, covering its features, installation on Linux, core configuration directives, reverse proxy and load balancing setups, caching strategies, HTTPS support, CORS handling, gzip compression, and the server's architecture and process model.
This extensive tutorial explains Nginx's architecture, installation, directory layout, configuration directives, location matching rules, reverse proxy setup, load balancing strategies, static‑dynamic separation, CORS handling, caching mechanisms, access control lists, rate limiting, HTTPS configuration, compression, and many other essential directives for effective web server and reverse‑proxy management.
Learn how to make multiple Docker containers share a single external port by using reverse‑proxy load balancing with Nginx, configuring DNAT iptables rules, and leveraging the SO_REUSEPORT socket option, complete with step‑by‑step commands and network setup examples.
This guide walks through setting up a Percona XtraDB Cluster (PXC) version 5.7.43 on three Docker‑installed machines, configuring hostnames, loading images, creating a Swarm overlay network, deploying the cluster, adjusting MySQL settings, handling common failures, and adding load balancing with Nginx or HAProxy.
This article outlines five comprehensive techniques—including database indexing, caching, code refactoring, load balancing, and horizontal scaling—to dramatically improve API response times and reliability, illustrated with practical Java code examples and a real‑world case study.
