The article describes the design, architecture, and implementation details of the CLOUD‑DPVS gateway, a high‑performance, VXLAN‑based load‑balancing solution that connects VPC networks to classic IDC networks, covering its high‑availability improvements, FULLNAT mode, traffic flow, and future offload plans.
This article explains the role of Kubernetes Service and kube-proxy, details each Service type (ClusterIP, NodePort, LoadBalancer, Ingress), compares iptables‑based and IPVS‑based load‑balancing implementations, and provides configuration examples for both modes.
This article explains the purpose, architecture, configuration steps, TLS setup, validation, technical selection, controller operation, reload process, high‑availability design, customization options, and future roadmap of the Kubernetes Ingress NGINX solution for seven‑layer load balancing.
This article introduces Apache Pulsar, an open‑source cloud‑native distributed messaging platform, detailing its storage‑compute separation architecture, multi‑tenant support, load balancing, fault tolerance, schema handling, functions, IO connectors, tiered storage, cross‑region replication, and operational commands for managing brokers, bookies, and namespaces.
This article explains the key design principles, components, and techniques—such as availability, performance, reliability, scalability, cost, redundancy, partitioning, caching, proxies, indexing, load balancing, and queuing—required to build large‑scale, high‑performance, and fault‑tolerant web and distributed systems, illustrated with an image‑hosting example.
This article presents a comprehensive guide on building a VOIP service for overseas users, covering VOIP fundamentals, open‑source PBX selection, SIP client libraries, demo deployment, load‑balancing with Kamailio, high‑availability via Keepalived, NAT handling, TLS/SRTP support, and troubleshooting techniques.
The article explains the three LVS load‑balancing modes—NAT, IP tunnel, and direct routing—and details eight scheduling algorithms (Round‑Robin, Weighted Round‑Robin, Least‑Connection, Weighted Least‑Connection, Locality‑Based, Locality‑Based with Replication, Destination Hashing, and Source Hashing), describing their principles and use cases.
The article details Meizu's large‑scale real‑time push architecture, covering system scale, four‑layer design, power‑consumption optimizations, network reliability challenges, massive connection handling, load‑balancing strategies, strict monitoring, and gray‑release practices to ensure high performance and stability.
The article reviews the evolution of large‑scale website architecture, explaining how business complexity, multi‑server deployment, session handling, load balancing, database read/write separation, caching, and search indexing together address availability, concurrency, and performance challenges in modern web systems.
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.