This article reviews common load balancing strategies—including round-robin, random, weighted, smooth weighted round-robin, consistent hashing, least-active and optimal-response algorithms—explains their advantages and drawbacks, and provides complete Java code examples for each method.
This article explains how to evolve a simple single‑server web application into a highly available, horizontally scalable system by introducing DNS routing, vertical and horizontal scaling, load‑balancing, database replication, sharding, denormalization, SQL/NoSQL choices, caching, CDN, and GeoDNS techniques.
The article outlines a comprehensive, multi‑layer architecture—including DNS routing, L4/L7 load balancing, micro‑service or monolithic deployment, caching, database sharding, hybrid‑cloud deployment, elastic scaling, and tiered degradation—to reliably support systems handling from millions to billions of daily active users under sudden traffic spikes.
The article outlines a comprehensive backend architecture for handling million‑to‑tens‑of‑million daily active users, covering DNS routing, L4/L7 load balancing, monolithic versus microservice deployment, caching, database sharding, hybrid‑cloud strategies, elastic scaling, and multi‑level degradation mechanisms.
This article provides a comprehensive overview of Linux Virtual Server (LVS), covering its basic concepts, three‑tier architecture, load‑balancing techniques, scheduling algorithms, high availability, reliability, and suitable deployment environments for building high‑performance, scalable server clusters.
This article provides a comprehensive overview of large‑scale distributed website architecture, covering its characteristics, design goals, architectural patterns, performance, high‑availability, scalability, extensibility, security, agility, evolution stages, and practical implementation techniques such as caching, load balancing, database sharding, service‑orientation and message queues.
This article explains how to build a high‑concurrency ticket‑seckill system that can handle millions of simultaneous requests by using multi‑layer load balancing, Nginx weighted round‑robin, local stock deduction, Redis atomic scripts, and Go’s native concurrency, and it demonstrates the implementation with complete code and performance testing.
This article explores the design of a high‑concurrency train‑ticket flash‑sale system, covering distributed load‑balancing strategies, Nginx weighted round‑robin configuration, local and remote stock deduction using Go and Redis, performance testing with ApacheBench, and key architectural lessons for preventing overselling and ensuring high availability.
The article outlines the defining traits of large-scale websites—high concurrency, massive data, 24/7 availability, security, and rapid iteration—and discusses major technical challenges such as scaling, caching, clustering, database read/write separation, CDN acceleration, distributed storage, and service decomposition.
This article walks through the step‑by‑step architectural evolution of a Java Web e‑commerce platform, covering initial single‑machine deployment, separation of application and database servers, clustering, load‑balancing algorithms, session handling, read/write splitting, search integration, caching, database sharding, microservice decomposition, SOA governance, and the introduction of message middleware.
This article provides a comprehensive overview of the Domain Name System (DNS), covering its distributed database design, TCP/UDP usage, hierarchical structure, top‑level domains, resolution workflow, recursive versus authoritative servers, caching, smart routing, BIND configuration, load‑balancing techniques, sub‑domain delegation, debugging tools, and security considerations such as DNS amplification attacks.
This article outlines a comprehensive design for a microservice API gateway, covering functional aspects such as routing, load balancing, aggregation, authentication, rate limiting, circuit breaking, caching, retries, and logging, as well as non‑functional concerns like high performance, high availability, scalability, and monitoring, with practical implementation options and recommendations.
This article explores the architecture and implementation of a high‑concurrency ticket‑spike system, covering distributed load‑balancing, Nginx weighted round‑robin configuration, Go‑based local and remote stock deduction with Redis, performance testing, and strategies to avoid overselling and underselling.
The article explains core flash storage techniques—including global load balancing, multi‑stream partitioning, and end‑to‑end I/O priority—by describing Active‑Active architectures, hash‑based request distribution, cache mirroring, data classification, and latency management to improve performance, reliability, and SSD lifespan.
This article explains the fundamentals of server NIC teaming, covering physical and network address concepts, ARP mechanisms, switch‑independent and switch‑dependent modes, detailed configuration steps for Intel and Broadcom adapters, management practices, and real‑world test results demonstrating load‑balancing and failover behavior.
The 2021 Hybrid Cloud Whitepaper explains the definition, major vendor solutions, and five key use‑case scenarios—load scheduling, disaster recovery, hybrid deployment, DevOps, and data analytics—illustrating how enterprises can leverage mixed public, private, and edge clouds to meet diverse business requirements.
This article explains how to design a high‑concurrency system by selecting appropriate server architecture, load balancing, database clustering, caching layers, message‑queue handling, static‑content delivery, service‑oriented decomposition, redundancy, automation, and monitoring to ensure smooth operation under heavy user traffic.
This article explains what a Content Delivery Network (CDN) is, why it is essential for reducing latency and improving user experience, describes its operational workflow—including DNS resolution, load balancing, and caching—and outlines the core technical components such as scheduling, cache, and security.
This article provides a comprehensive technical overview of large‑scale distributed website architecture, covering characteristics, design goals, architectural patterns, performance, high availability, scalability, extensibility, security, agility, evolution stages, and a detailed e‑commerce case study.
This article explains the principles and procedures of disaster recovery switching, covering network switching methods (IP, DNS, load balancer), DNS resolution processes, load balancing technologies, and application-level failover techniques such as clustering and active‑active architectures, highlighting decision criteria and best practices for data‑center continuity.