This guide explains how to set up a highly available Tomcat service on CentOS 7 by installing and configuring Nginx as a reverse proxy and load balancer together with Keepalived for VRRP‑based failover, covering environment preparation, installation steps, master‑backup configuration, and Nginx upstream settings.
This article presents a comprehensive guide to designing high‑concurrency architectures for e‑commerce applications, covering server topology, load balancing, database clustering, caching strategies, concurrency testing tools, message‑queue based asynchronous processing, first‑level cache, static data handling, layering, distribution, service‑oriented design, redundancy, automation, and practical implementation examples.
This article explains how Nginx can be used to achieve various load‑balancing strategies—including round‑robin, least‑connections, IP hash, generic hash, least‑time, and random—provides detailed configuration examples, shows how to integrate Nginx with SpringBoot services, and outlines testing and deployment steps.
This article provides a concise Nginx cheat sheet covering essential configuration snippets such as listening ports, access logs, server names, static assets, redirects, reverse proxy, load balancing, and SSL settings, along with links to an online visual configuration tool.
This article provides a detailed technical overview of an internet company's architecture, covering DNS resolution, load balancing strategies, API gateway design, push notification mechanisms, microservice communication, distributed transactions, and supporting infrastructure, offering a practical reference for developers.
The article presents a comprehensive overview of large‑scale distributed website architecture, detailing its characteristics, performance and availability goals, layered design patterns, high‑performance and high‑availability techniques, scalability, extensibility, security, and practical e‑commerce case studies.
This article provides an in‑depth tutorial on Nginx, covering its core concepts, installation, configuration directives, reverse proxy, load balancing, caching, HTTPS setup, CORS handling, gzip compression, and the internal multi‑process architecture for high‑performance web serving.
This article describes the end‑to‑end design, technology selection, architecture, core code implementation, data synchronization, and performance testing of a custom high‑throughput gateway built with Spring WebFlux, Netty, and Nacos, highlighting routing rules, load‑balancing, and gray‑release capabilities.
This article provides a detailed overview of Nginx, covering its core concepts, installation steps on Linux, configuration files, common commands, reverse proxy and load‑balancing setups, static‑dynamic separation, and high‑availability solutions using Keepalived, offering practical examples and code snippets throughout.
This article explains the evolution of software project architectures—from single‑server monoliths to MVC, RPC, SOA, and micro‑services—while providing clear definitions of key terms such as clusters, load balancing, caching, and flow control for readers unfamiliar with high‑concurrency and distributed systems.
This article traces Nginx’s creation by Igor Sysoev, explains its advantages over Apache, and details how Nginx functions as a forward and reverse proxy, supports various load‑balancing algorithms, and is widely used in modern web infrastructure.
This article outlines how large‑scale web applications evolve from simple single‑server deployments through static‑dynamic separation, clustering, database read/write splitting, sharding, service‑oriented architecture, and message queues, emphasizing the trade‑offs and best practices for each architectural stage.
This article traces the evolution of internet architecture from simple single‑instance Java projects through Nginx load balancing, HA clusters, CDN, database read/write separation, NoSQL, distributed search, sharding, distributed file systems, service decomposition, and finally microservice architectures, explaining the motivations, techniques and trade‑offs of each stage.
This article uses Taobao as a case study to trace the step‑by‑step evolution of server‑side architecture from a single‑machine deployment to distributed clusters, caching, load‑balancing, database sharding, micro‑services, containerization and finally cloud platforms, summarizing the key technologies and design principles at each stage.
This article explains the concept of load balancing, compares DNS‑based, hardware‑based, and software‑based solutions, and details common balancing algorithms such as round‑robin, load‑aware, response‑time, and hash strategies, highlighting their advantages, limitations, and typical use cases in high‑traffic systems.
This article outlines the step‑by‑step evolution of a Java web e‑commerce platform, covering initial single‑machine deployment, server‑database separation, application clustering, load‑balancing algorithms, session handling, read‑write splitting, caching, database sharding, microservice decomposition, and the introduction of messaging middleware to achieve a scalable, resilient architecture.
This article explains the concept of distributed architecture, its key properties such as cohesion and transparency, various applications like distributed file systems, caches, databases, and services, and outlines the evolutionary stages from single‑server setups to modern micro‑service and cloud‑native designs.
The article explains how the slowdown of Moore's Law drives the shift from monolithic applications to distributed systems, covering load balancing, session handling strategies, read‑write separation, and database sharding to achieve scalable, high‑availability backend architectures.
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 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.