The article explains how a web system can evolve from handling 100,000 daily visits to over 100 million by implementing multi‑level load‑balancing, various caching strategies, MySQL optimization, distributed database architectures, and geographic deployment to ensure performance, reliability, and scalability.
The article explains why adding servers and shifting traffic, often dismissed as low‑effort tricks, actually require substantial architectural planning, state management, load balancing, sharding, and multi‑datacenter coordination to reliably handle high‑traffic scenarios.
This guide outlines essential Azure cloud considerations—including cost monitoring, VM storage types, load‑balancing strategies, SSD advantages, IP address differences, reserved IP billing, SLA guarantees, storage cost factors, diagnostics, and overall best practices—to help avoid common pitfalls when moving projects from local environments to the cloud.
The article analyzes the challenges of high‑traffic ticketing platforms, compares business models, identifies concurrency bottlenecks, and presents comprehensive front‑end and back‑end optimization techniques—including load balancing, caching, data partitioning, and queue‑based flow control—to achieve horizontal scalability and reliable performance.
This article explains the consistent hashing algorithm, its motivation in cache systems, the concept of monotonicity, the step‑by‑step mapping process, and how virtual nodes improve balance and resilience when cache servers are added or removed.
This article details how to diagnose and resolve Nginx load‑balancing performance issues under extreme concurrency by analyzing NIC packet loss, kernel SYN drops, backlog limits, and applying systematic kernel, network‑card, and Nginx configuration optimizations that raise QPS from 20,000+ to over 40,000.
The article explains how WMB, a high‑performance distributed message queue, uses Paxos‑based master election, periodic lease renewal, and a multi‑stage load‑balancing strategy to evenly distribute master nodes across groups, improve throughput, and ensure consistent message delivery.
The article analyzes a slowdown issue in the 58 Cloud Platform caused by an overloaded API Server and uneven Etcd load, explains the root causes—including load‑balancing failure and missing namespace segmentation—and presents concrete remediation steps such as DNS round‑robin, namespace partitioning, Etcd client upgrade, and cache‑enabled queries.
This article describes the architecture, components, and deployment strategies of the 58 deep learning online prediction service, covering TensorFlow‑Serving, custom model serving, traffic forwarding, load balancing, GPU configuration, resource monitoring, and the supporting web management platform.
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.
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.
This article explains how to use the ngx_lua module in Nginx to assign traffic tags, implement header‑based or domain‑based routing, and integrate with dynamic upstreams for parallel testing, load testing, and gray‑release scenarios, providing code examples and configuration details.
The article describes the motivation, architecture, FullNat forwarding process, high‑availability mechanisms, and performance‑optimizing techniques of TVS, a custom four‑layer load‑balancing platform built to overcome LVS limitations and meet the company’s demanding traffic and reliability requirements.
This article provides a comprehensive overview of Nginx, covering its core functions as an HTTP server and reverse proxy, the differences between forward and reverse proxy, supported load‑balancing algorithms, the master‑worker process architecture, and the detailed steps of how Nginx processes a request.
This article explains how to employ the open‑source ApacheBench (ab) tool to conduct load‑testing and dynamic monitoring of a Linux‑based load‑balancing module, detailing environment setup, command parameters, and result analysis for effective performance evaluation.
This article examines the limitations of traditional L4 load balancers like LVS and explains how modern software solutions—leveraging DPDK, VPP, XDP/eBPF, and consistent‑hash algorithms such as Google Maglev and Facebook Katran—can achieve high‑throughput, scalable, and highly available L4 load balancing in data‑center environments.
This article explains how to configure Dble's read‑write splitting feature by preparing MySQL master‑slave instances, defining dbGroup and rwSplitUser in XML configuration files, reloading the settings, and verifying that write statements go to the primary node while reads are load‑balanced across replicas.
This tutorial demonstrates how to replace the traditional VIP‑based MySQL Router deployment with DNS SRV and Consul service discovery, enabling automatic failover and load balancing for MySQL InnoDB Cluster using supported MySQL Connectors and a Python client.
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 concept of remote calls, compares Feign and OpenFeign, walks through the step‑by‑step setup in a Spring Cloud project, and deeply analyzes the scanning, registration, dynamic proxy creation, MVC annotation parsing, request dispatch, Ribbon load‑balancing, and response handling mechanisms of OpenFeign.