This article explains Nginx's core load‑balancing algorithms—Round Robin, Weighted Round Robin, IP‑Hash, and Least Connections—detailing their working principles, configuration examples, advantages, disadvantages, and ideal use‑cases for building reliable backend services.
This article explains the design, features, and deployment architecture of a unified Layer‑7 load‑balancing service that supports both classic and VPC networks, offering intelligent routing, session persistence, health checks, hot‑config reload, and high availability for cloud‑native environments.
This article explains why traditional load‑balancing methods fall short for large language model services and introduces Higress AI Gateway's three specialized algorithms—global minimum‑request, prefix‑matching, and GPU‑aware load balancing—detailing their design, Redis‑based implementation, deployment steps, and performance gains.
This article explains Nginx's event‑driven, non‑blocking architecture, efficient I/O multiplexing, powerful load‑balancing, and keep‑alive support, showing how a few processes can serve hundreds of thousands of simultaneous connections in large‑scale systems.
This article explains single‑layer, double‑layer, and multi‑layer load‑balancing architectures, outlining their structures, advantages, disadvantages, and suitable use cases for building highly available and scalable backend systems in modern cloud environments and enterprise.
An experienced ops engineer shares a production incident caused by mis‑chosen Nginx load‑balancing, compares Weighted Round‑Robin and IP‑Hash in depth, presents a week‑long stress test, offers best‑practice configurations, common pitfalls, performance‑tuning tips, and actionable recommendations for reliable traffic distribution.
This article explains the fundamental differences between forward and reverse proxies, covering their service objects, typical application scenarios, configuration locations, and how each hides identities, with illustrative diagrams to help backend developers understand Nginx’s role in modern architectures.
This guide explains how Nginx functions as a load balancer and reverse proxy, covering its event‑driven architecture, worker processes, and core mechanisms, and details common balancing algorithms such as round‑robin, least connections, IP hash, weighted round‑robin and weighted least connections with full configuration examples and monitoring commands.
This article explains how Nginx forwards HTTP request headers to backend servers, details the default headers passed, shows how to customize header transmission with directives like proxy_set_header, and addresses typical issues such as missing client IP, incorrect Host headers, and security concerns.
This article explains Nginx’s origins, its event‑driven, non‑blocking multi‑process architecture, modular design, and detailed request‑handling workflow, providing a comprehensive overview of how the high‑performance web server operates in modern backend systems.
This guide walks you through configuring OLLAMA for multi‑GPU load balancing, covering hardware checks, CUDA setup, native and Docker deployment methods, detailed parameter tuning, advanced sharding strategies, troubleshooting, performance optimization, and production‑grade monitoring to maximize throughput and stability of large language models.
This article explains key high‑availability concepts such as availability metrics, microservice modularization, load balancing, rate limiting, circuit breaking, isolation, retry strategies, rollback plans, stress testing, monitoring, and on‑call processes, providing concrete design guidelines for building resilient internet services.
This article walks you through practical Nginx configurations covering reverse‑proxy load balancing, static resource handling, cache control, version hiding, JSON‑formatted logging, rate‑limiting, IP restrictions, gray‑release traffic splitting, security headers and DNS anti‑spoofing, with ready‑to‑use code examples.
This article explores the four‑layer load‑balancing architecture, five common algorithms (including Round Robin, Weighted RR, Least Connections, Consistent Hashing, and AI‑driven adaptive load), high‑availability design, deep pitfalls, and a self‑built load balancer implementation, providing practical code examples and best‑practice guidelines.
Dynamic‑datasource 4.3.1 offers a powerful AOP‑based, annotation‑driven solution for seamless multi‑database routing, read‑write separation, and load‑balancing in Spring Boot applications, while addressing common pitfalls such as transaction boundaries, connection‑pool configuration, health‑check failures, and version compatibility.
This article examines the four Linux Virtual Server (LVS) clustering modes—NAT, Direct Routing, Tunneling, and FULLNAT—detailing their architectures, data flows, configuration steps, advantages, disadvantages, and ideal use cases, helping operations engineers select the most suitable load‑balancing solution for high‑performance, scalable web services.
This article explains the thundering herd issue in Nginx’s multi‑process model, detailing both accept‑ and epoll‑related herd problems, their causes, and practical mitigation techniques such as kernel‑level improvements, Nginx’s accept_mutex, dynamic load balancing, and the SO_REUSEPORT feature.
This tutorial explains Keepalived’s VRRP‑based failover, IPVS rule generation, health‑checking, script integration, installation methods, detailed configuration files, notification handling, logging, brain‑split prevention, and VRRP scripting for building robust high‑availability clusters on Linux.
This guide provides a comprehensive, operations‑focused walkthrough of Nginx performance tuning, covering worker processes, event models, network settings, buffers, compression, SSL, load balancing, caching, security hardening, system limits, monitoring, and testing to achieve up to a 500% QPS increase.
This article explains the nuances of Nginx's proxy_pass directive, illustrating how trailing slashes and URI paths affect backend request URLs, compares configurations across http and stream modules, and provides practical load‑balancing examples with detailed parameter settings.
This tutorial walks through setting up Nacos as a cloud‑native service registry and configuration center, covering installation modes, service registration, discovery, load‑balancing with Spring Cloud, dynamic configuration loading, namespace isolation, and best‑practice patterns for managing microservice environments.
This article provides a comprehensive overview of Nginx, covering its high‑performance architecture, key features, common deployment scenarios such as web serving, reverse proxy, load balancing and caching, detailed explanations of load‑balancing algorithms, and step‑by‑step configuration examples with essential directives.
This article details a step‑by‑step AWS cloud‑native solution that combines 10 Gbps internal networking, Elasticsearch distributed indexing, Windows Server tuning, SQL Server read‑write splitting, and intelligent load‑balancing to reduce search latency by 80 % and boost database throughput by 300 % under million‑level concurrency.
This guide explains how to break a monolithic LNMP stack into separate components—dedicated MySQL servers, multiple Nginx/PHP web nodes, shared static storage, and session persistence using Redis—while providing step‑by‑step commands, configuration snippets, and best‑practice recommendations for building a reliable, high‑performance Nginx cluster.
This article analyzes a production‑line data‑distribution issue where parallel processing and rule‑based assignment cause some employees to receive no tasks, explains why simply increasing batch size fails, and presents a Redis‑counter solution that balances efficiency with fair workload distribution.
This comprehensive guide walks you through Nginx’s key features, core configuration syntax, built‑in variables, global settings, common directives, HTTPS setup, CORS handling, gzip compression, access control, caching strategies, and practical examples of rewrite rules, load balancing, proxying, and server name matching, all illustrated with clear code snippets and diagrams.
This article explains how to design and implement custom routing strategies—including default branch routing, version‑specific routing, and service‑specific routing—to achieve isolated version testing and gray‑release deployments in distributed microservice systems.
This article explains how to decompose a monolithic Nginx‑LNMP setup by moving the database, web nodes, and static assets to separate servers, configuring load balancing, shared storage, and session persistence with Redis, and provides complete command‑line examples for each step.
This tutorial explains the definitions of faults and failures in distributed systems, explores their types and root causes, and presents fault‑tolerance mechanisms such as replication, checkpointing, redundancy, error detection, load balancing, and consensus algorithms to build resilient architectures.
Learn how to install, configure, and optimize Nginx for high‑performance web serving, covering core settings, reverse proxy, load balancing, caching, SSL, gzip compression, and advanced modules, with practical examples and step‑by‑step commands for real‑world deployment.
This article explains a proven high‑concurrency solution that combines Linux Virtual Server (LVS), Nginx, and Keepalived to achieve million‑level request handling, load balancing, and high availability for large‑scale web services.
This article explains the fundamental differences between Nginx forward and reverse proxies, covering their target objects, server perception, typical use cases, and configuration methods, helping readers choose the right proxy mode for their architecture.
This comprehensive guide walks you through Nginx's core features, configuration syntax, and practical modules such as server blocks, load balancing, SSL, gzip compression, CORS handling, access control, and caching, complete with clear code snippets and real‑world deployment examples.
This article explains how Spring Cloud Ribbon provides client‑side load balancing, outlines its classification, core mechanisms, common algorithms, and shows step‑by‑step code to replace the default balancing rule in a Spring Boot microservice.
This article provides a comprehensive, hands‑on guide to installing HAProxy, configuring global, defaults, listen, frontend, and backend sections, setting up ACL‑based load balancing, preparing backend web servers, testing the setup, and accessing the HAProxy statistics page.
This article explains the essential role of load balancing in modern distributed systems and walks through single‑layer, double‑layer, and billion‑scale architectures, highlighting their design principles, benefits, trade‑offs, and typical deployment scenarios for high‑availability and high‑performance applications.
This article explains how to configure Nginx load balancing with upstream blocks, server weight, ip_hash, and logging variables, and details reverse‑proxy settings such as proxy_pass, proxy_method, header handling, redirects, and error‑fallback options, providing complete code examples for each feature.
This guide presents ten essential operations tools—including Zabbix, Prometheus, MySQL, Redis, Ansible, Jenkins, Docker, Kubernetes, LVS, and Kafka—covering monitoring, databases, automation, containerization, and load balancing, to help engineers shift from reactive firefighting to proactive, efficient system management.
An extensive collection of 2025 Linux cloud computing interview questions—covering fundamentals, system architecture, security, shell scripting, networking, load balancing, and practical command‑line tasks—provides job seekers with a ready‑to‑study resource to master the knowledge most interviewers demand.
This comprehensive guide walks web developers and system operators through Nginx fundamentals, history, core and advanced configurations, rewrite rules, reverse proxy setup, performance tuning, and a practical LNMP WordPress deployment, providing theory and hands‑on examples for deep mastery.
This guide explains the fundamental differences between Layer 4 and Layer 7 load balancing, outlines their respective advantages and drawbacks, provides practical Nginx and HAProxy configuration examples, and offers advice on selecting the appropriate approach for various scenarios, including modern cloud services.
This article explains the fundamentals of Layer‑4 and Layer‑7 load balancing, compares their advantages and disadvantages, and describes how a hybrid approach can combine high‑performance traffic handling with flexible application‑level routing for large‑scale systems.
This article explores how to embed load‑balancer concepts such as intelligent request distribution, health checks, automatic failover, and dynamic strategy adjustment directly into PHP applications using algorithms like weighted round‑robin, response‑time balancing, and circuit‑breaker patterns, providing code examples and practical deployment scenarios.
This article explains how to implement a thread‑safe round‑robin load balancer in Java using AtomicInteger, discusses its advantages and limitations, provides sample code for single‑thread and multithreaded scenarios, and suggests further optimizations such as health checks, weighted routing, and dynamic server updates.
This guide walks through upgrading a Spring Cloud Gateway by integrating Nacos as a service registry and configuration center, showing how to enable automatic request forwarding, dynamic route loading, and load‑balancing with step‑by‑step code examples and configuration files.
The article explains the practical limitations of using only Tomcat—such as DNS IP caps, scaling costs, deployment downtime, and lack of health checks—and demonstrates how adding Nginx as a reverse proxy and load balancer resolves these issues with concrete configuration examples.
This article explains how to design custom routing rules, version‑based load balancing, and gray‑deployment strategies in distributed microservice systems to isolate service versions, ensure safe acceptance testing, and smoothly roll out new releases.
This article walks through Nginx's role as a high‑performance reverse proxy and load balancer, explains core concepts, provides step‑by‑step configuration examples—including upstream pools, server blocks, and location directives—and details performance optimizations such as gzip, connection reuse, worker settings, static‑file caching, and proxy caching.
This article explains the Mixture of Experts (MoE) technique used in modern LLMs, detailing its core components—experts and router—comparing dense and sparse layers, describing load‑balancing, expert capacity, and routing strategies, and showcasing real‑world examples such as Switch Transformer, Vision‑MoE, and Mixtral 8x7B.
This article explains the design of an AI gateway that centralizes LLM access, detailing its background, overall architecture, authentication, quota management, multi‑model routing, load‑balancing strategies, multi‑tenant isolation, observability features, and the supported API protocols for enterprise integration.
This article explains the motivation, design choices, and implementation details of a custom distributed job scheduling framework, covering its architecture, load‑balancing strategy, message‑queue handling, persistence mechanisms, and key code snippets, while comparing it to existing solutions like Quartz, XXL‑Job, and PowerJob.
This comprehensive guide covers the most common Nginx interview questions, including its definition, advantages, architecture, request handling, high‑concurrency mechanisms, proxy types, configuration files, load‑balancing algorithms, rate limiting, health checks, compression, and many practical code examples for real‑world deployment.
This article surveys current network load‑balancing approaches—including CONGA, Hula, DRILL, Hermes, MP‑RDMA, ConWeave, Proteus, and CAVER—detailing their granularity, information exchange, signaling methods, and the performance gains they achieve in modern data‑center environments.
This article explains why Nginx has overtaken Apache to become the leading web server, covering its performance‑focused design, high stability, master‑worker architecture, core configuration, location directives, access control, reverse‑proxy features, and real‑world deployment examples from major Chinese internet companies.
This article explains how Nginx works as an HTTP server and reverse proxy, detailing its modular gateway capabilities, single‑thread design, multi‑worker architecture, shared memory, proxy caching, master‑worker coordination, and how to address its single‑point‑of‑failure limitations.
This comprehensive guide walks you through Nginx fundamentals, including its advantages, installation methods, core configuration hierarchy, key modules such as stub_status, random_index, sub_filter and gzip, log management, virtual host setup, HTTPS, rewrite rules, and smooth upgrade techniques, empowering you to deploy and optimize a high‑performance web server.
This article explains how Nginx transforms a simple local HTML file into a high‑performance HTTP server and reverse‑proxy gateway, detailing its modular capabilities, configuration via nginx.conf, single‑thread design, multi‑worker processes, shared memory, proxy caching, master‑worker coordination, and the challenges of single‑point failure.
The article shows how adding HTML tags turns a plain‑text file into a web page, explains the need for an HTTP service to serve it, introduces reverse proxies for load‑balancing and address hiding, and outlines Nginx’s event‑driven architecture with master and worker processes, shared memory, proxy cache, multi‑protocol support, configurable modules, and scaling options, while warning of a single‑instance failure and recommending cluster mode.
This article explains why Nginx has overtaken Apache to become the leading web server, highlighting its performance‑optimized design, stability, widespread adoption by major Chinese tech firms, core functions such as load balancing and caching, and detailed insights into its master‑worker architecture and configuration.
This article explains how to configure Nginx as a load balancer for web applications, covering upstream and proxy_pass definitions, the three built‑in balancing methods, weight and connection settings, fail‑over options, and practical code examples for both HTTP and HTTPS deployments.
The article explains how to design a scalable, highly available backend system capable of handling millions of requests per second by defining key performance metrics, estimating traffic with the 2/8 rule, and applying architectural patterns such as load‑balanced clusters, vertical service splitting, distributed caching, and database master‑slave replication, illustrated with a Taobao case study.
This article presents MaRCA, a multi‑agent reinforcement learning framework that allocates computation resources across the full ad‑serving chain by modeling user value, compute consumption, and action rewards, enabling fine‑grained power‑tilting toward high‑quality traffic and achieving significant business gains under strict latency constraints.
This article presents MaRCA, a multi‑agent reinforcement‑learning framework that allocates computation resources across the full ad‑serving chain, modeling user value, compute cost, and action rewards to maximize ad revenue while keeping system load stable under fluctuating traffic.
This article describes how to build a lightweight service registry using Eureka Server that also acts as a client, enabling a task dispatcher to discover and load‑balance task executor instances without deploying a separate registry, including Maven dependencies, Spring annotations, Feign client definitions, and troubleshooting steps.
The article explains how Linux’s multicore scheduler distributes tasks across CPU cores, describes the core CFS and real‑time algorithms, details load‑balancing mechanisms such as pull/push and active/passive strategies, and discusses power, thermal, and algorithmic optimizations for servers and embedded devices.
This article explains how AI inference services can tackle five core problems—rate limiting, load balancing, asynchronous processing, user data management, and index enhancement—by leveraging Tair's rich data structures, offering practical code examples, architectural diagrams, and a comparison with alternative solutions.
ROFF is a Rust‑implemented, seven‑layer gateway that delivers high‑throughput load balancing with memory‑safe performance, TLS hardware offload, native QUIC/HTTP3 support, a hot‑reload/upgrade mechanism, and an extensible module system allowing over thirty built‑in filters and custom Rust macros.
This article details how Ctrip's Soft Load Balancer (SLB) transitioned from a simple Nginx reverse‑proxy to a multi‑datacenter, dynamic routing gateway using OpenResty, Lua scripts, and a three‑layer architecture that eliminates reloads and supports high‑frequency configuration updates.
This article walks through the background of Spring Cloud Ribbon, explains its client‑side load‑balancing role, provides step‑by‑step code to create multiple provider services and a consumer that uses Ribbon, and shows how to configure different balancing algorithms and retry mechanisms.
This article explains the Mixture of Experts (MoE) architecture, detailing experts, routers, dense vs. sparse layers, load‑balancing strategies such as KeepTopK, auxiliary loss, capacity constraints, the Switch Transformer simplification, and how MoE is applied to both language and vision models, illustrated with concrete examples and parameter counts.
DeepSeek’s recent Open‑Source Week unveiled a suite of AI‑focused tools—including the DualPipe pipeline parallelism algorithm, the EPLB expert load balancer, detailed training‑inference framework data, the high‑performance 3FS parallel file system, and the Smallpond data‑processing framework—each with GitHub links and performance highlights.
This article explains how to design custom routing strategies for versioned microservices, including default master branch routing, unified version routing, and service‑specific routing, and shows how to apply these rules to achieve gray deployments with load‑balancing and seamless version isolation.
This comprehensive guide explains what Nginx is, its advantages, typical use cases, request processing, high‑concurrency architecture, forward and reverse proxy concepts, directory layout, configuration directives, cookie vs session, load‑balancing algorithms, rate limiting, static‑dynamic separation, CDN integration, health checks, compression, and worker process tuning, providing practical code examples for each topic.
This guide explains what load balancing is, why it’s essential, the different L4/L7 methods, hardware options, HAProxy features and limitations, and provides step‑by‑step installation, compilation, service setup, and detailed configuration examples for CentOS environments.
Consistent hashing, a cornerstone of distributed systems, balances load, enhances scalability, and minimizes data migration; this article explains its fundamentals, the drawbacks of basic implementations, the role of virtual nodes, and provides a complete Go-language example with code for adding, removing, and locating nodes.
This article reviews the development of DeepSeek's Mixture-of-Experts (MoE) models, tracing their evolution from the original DeepSeekMoE V1 through V2 to V3, detailing architectural innovations such as fine‑grained expert segmentation, shared‑expert isolation, load‑balancing losses, device‑limited routing, and the shift from softmax to sigmoid gating.
This article explains the concept of IPVS (IP Virtual Server) as a layer‑4 load balancer, compares ipvs with iptables, details LVS scheduling algorithms, and provides step‑by‑step commands for configuring ipvsadm on both load‑balancer and real‑server nodes, including VIP setup and client testing.
A production ClickHouse cluster suddenly showed blacked‑out dashboards due to CPU load soaring above 2,700%, and this guide walks through step‑by‑step diagnostics using system tables, a simple query to spot heavy SQL, and practical remediation actions to restore normal load levels.
This article explains Nginx’s key advantages—high‑concurrency handling, efficient load balancing, versatile mail proxying, simple installation and zero‑downtime upgrades—illustrates its architecture with master/worker processes, and outlines essential configuration topics from basic setup to advanced HTTPS and reverse‑proxy techniques.
This guide walks through planning a NAT architecture, preparing Linux hosts, configuring route and LVS servers, setting up real servers with httpd, creating an LVS NAT cluster, testing client access, and persisting ipvsadm rules for reliable load balancing.
When the U.S. TikTok ban drove millions of users to Xiaohongshu, the app saw a massive traffic spike, prompting a detailed Operations guide covering unitized architecture, monitoring, load balancing, caching, database optimization, CI/CD automation, and emergency response planning.
This article explains why the traffic team switched from traditional MQ to Redis Stream, covering the underlying concepts, design choices, implementation details, load‑balancing strategies, cross‑datacenter handling, monitoring metrics, performance benchmarks, and practical lessons learned.
This tutorial explains how to design and deploy a high‑availability web cluster using Linux Virtual Server (LVS) and Keepalived, covering terminology, test environment setup, detailed configuration steps, HA testing procedures, and a concise summary of the solution.
In RocketMQ, adding consumers speeds consumption only when they are fewer than MessageQueues, while pull delays arise from ProcessQueue thresholds or ordered‑lock timeouts; slow processing often stems from heavy business logic or external calls, and load can be balanced using average, round‑robin, custom, machine‑room, nearby‑room, or consistent‑hash allocation strategies.
This article explores the challenges and opportunities of distributed architectures and explains how various static and dynamic load‑balancing strategies, hardware and software balancers, redundancy, health checks, and failover mechanisms together ensure high availability, illustrated with real‑world e‑commerce and live‑streaming case studies and future trends.
This article explores the challenges of handling massive simultaneous requests in distributed architectures and presents practical solutions such as load balancing, distributed caching, asynchronous processing, and sharding, illustrated with case studies from major e‑commerce and social platforms.
This article outlines eight essential high‑performance architecture techniques—including load balancing, asynchronous processing, database optimization, caching, distributed clusters, CDN, microservices, and rate‑limiting/circuit‑breaking—to improve scalability, availability, and responsiveness of large‑scale backend systems.
This article explores practical techniques for boosting system performance through IT architecture optimization, covering caching strategies, database query and connection‑pool tuning, load‑balancing, asynchronous messaging, code‑level refinements, memory pooling, network tricks, and real‑world case studies.
This article explains what constitutes high concurrency, categorizes load levels, and presents practical solutions such as load balancing, database sharding, query optimization, caching, message queues, and rate‑limiting, complete with code examples for implementing these techniques in backend systems.
The article explains why 24/7 high‑availability systems are essential for modern enterprises and details core design principles, layered architecture, and critical technologies such as redundancy, load balancing, caching, elastic scaling, monitoring, and fault‑tolerance to ensure continuous, reliable service.
This article explains how Nginx’s performance‑oriented design, high stability, mature codebase, and versatile features such as load balancing, reverse proxy, and caching have made it the leading web server worldwide, with widespread adoption by major Chinese internet companies and detailed configuration guidance.
This article introduces the motivation, architecture, technology choices, and key implementation details of a lightweight, highly extensible distributed job scheduling framework built on gRPC, Protobuf, a custom name‑server, and a bespoke message‑queue, addressing limitations of existing solutions like Quartz, XXL‑Job, and PowerJob.
This article explores the fundamentals of load balancing in microservice architectures, detailing both stateless and stateful strategies such as round‑robin, random, hash, and weighted algorithms, and demonstrates how go‑zero and gRPC implement these mechanisms through custom balancers, service discovery, and request scheduling.
This article explains the core principles of Nginx, describing its multi‑process architecture, the roles of the master and worker processes, the request handling workflow, and why it is widely used as a high‑performance reverse proxy, load balancer, and HTTP cache.
This article provides a comprehensive walkthrough of Keepalived, covering its VRRP‑based address failover, architecture components, installation methods, detailed configuration files, notification scripts, logging, unicast/multicast settings, brain‑split prevention, and practical LVS‑Keepalived high‑availability deployment steps.
This article explains how Nginx’s event‑driven, asynchronous non‑blocking architecture, combined with epoll/kqueue I/O multiplexing and cache optimization, enables it to serve millions of simultaneous connections with high concurrency, low latency, and high throughput.
This guide explains how Nginx's proxy_pass directive behaves with and without a trailing slash, compares the ngx_http_proxy_module and ngx_stream_proxy_module, demonstrates request URI transformations in various scenarios, and provides practical load‑balancing configuration examples.
This article explains how Nginx uses an event‑driven, asynchronous non‑blocking I/O model together with epoll/kqueue and various optimization strategies such as keep‑alive, caching, efficient data structures and load balancing to handle millions of concurrent connections in large‑scale internet architectures.
This article explains how to streamline OpenFeign usage during local development by configuring custom URL routing, detailing the underlying Feign mechanism, creating a custom ImportBeanDefinitionRegistrar, and providing step‑by‑step code examples, testing procedures, and best‑practice recommendations.
This article explores whether Node.js can handle millions of concurrent users, explains the core non‑blocking architecture, outlines challenges such as the single‑thread model and memory leaks, and provides practical scaling tactics like clustering, load balancing, caching, and database optimization.
