This article provides a beginner-friendly overview of Nginx, explaining its role as a high‑performance HTTP server, load balancer and reverse proxy, outlining its advantages, and offering step‑by‑step instructions for installing and configuring Nginx on CentOS 7.
The article explains how Nginx achieves high concurrency, performance, and efficiency through its master‑worker process model, modular design, event‑driven non‑blocking architecture, and built‑in proxy capabilities, making it a leading web server for reverse proxy and load balancing.
This article explains Nginx's various load balancing algorithms—including round‑robin, weighted, ip_hash, fair, and url_hash—their scheduling states such as down, backup, max_fails, and fail_timeout, and provides example configuration steps with real server IPs, highlighting differences from LVS.
This article provides an in‑depth overview of API gateways, explaining their basic concepts, design principles, key features such as request routing, service registration, load balancing, resilience and security, and compares popular gateway solutions like OpenResty, Kong, Zuul and Spring Cloud Gateway for microservice architectures.
This article describes a series of improvements to a Spring‑Boot based Java RPC framework—including support for Protobuf and Kryo serialization, multiple load‑balancing algorithms, client‑side service caching, TCP long‑connection reuse via Netty, and a performance test that reduces request latency by more than tenfold.
This article explains how to build a high‑concurrency train‑ticket flash‑sale system that can handle millions of requests by combining layered load‑balancing, Nginx weighted round‑robin, in‑memory stock deduction, Redis atomic Lua scripts, and a Go HTTP service with channel‑based concurrency control, and it provides performance test results and source code.
This article explains the purpose of load balancing, describes Nginx's upstream distribution algorithms such as round‑robin, weight and IP‑hash, shows how to configure these strategies with example settings, and discusses additional parameters and high‑availability setups for robust backend services.
This article introduces Nginx’s key capabilities—including static file serving, various load‑balancing strategies, leaky‑bucket rate limiting, browser and proxy caching, and black‑/white‑list access control—explaining how each feature can be configured and applied in high‑concurrency web environments.
The article explains that although Kafka could technically implement a master‑slave (write‑read) model, it deliberately avoids it because the master‑write master‑read design already provides superior load balancing, consistency, and lower latency, making a separate read‑only replica unnecessary.
The article explains how to design a high‑concurrency server architecture—including load balancing, database master‑slave clusters, NoSQL caching, CDN static assets, concurrency testing, message queues, tiered caching, and automated redundancy—to keep large‑scale e‑commerce services responsive and reliable under heavy user traffic.
This article explains what Spring Cloud is, its advantages for distributed microservices, the meaning of service registration and discovery, the purpose of load balancing, how Hystrix provides fault tolerance and circuit breaking, the role of Netflix Feign, and the function of Spring Cloud Bus for configuration refresh across instances.
This article examines the governance of WeChat NLP algorithm microservices, outlining the management, performance, and scheduling challenges they pose, and presents solutions including automated CI/CD pipelines, task‑aware auto‑scaling, DAG‑based service composition, custom Python interpreter PyInter, and an improved Joint‑Idle‑Queue load‑balancing algorithm.
This article provides a detailed tutorial on Nginx, covering its core features, configuration file structure, and practical examples for reverse proxy, load balancing, static‑dynamic separation, and high‑availability clustering with code snippets and deployment steps.
This article provides a detailed overview of Nginx, covering its architecture, key features such as load balancing and proxying, common commands, directory layout, configuration syntax, and practical examples, while also offering download links and code snippets for hands‑on use.
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 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 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 compares Spring Cloud and Dubbo across protocol handling, performance tuning, load‑balancing strategies, fault‑tolerance mechanisms, and routing/traffic‑scheduling features, highlighting the flexibility of Dubbo and the simplicity of Spring Cloud in microservice architectures.
This article compares Spring Cloud and Dubbo across protocol handling, performance tuning, load‑balancing strategies, fault‑tolerance mechanisms, and routing/traffic‑shaping features, highlighting their flexibility, configuration complexity, and suitability for different microservice scenarios.