This article explains how to select and combine hardware, software, and cloud load‑balancing solutions—such as F5 BIG‑IP, Nginx, LVS, and public‑cloud SLB—to achieve optimal stability and performance in high‑concurrency environments.
This article explains the three main types of load balancing—DNS, hardware, and software—their advantages and disadvantages, typical combined architectures, and the key algorithms such as round robin, weighted round robin, least‑load, performance‑optimal, and hash‑based that drive high‑performance cluster scheduling.
Load balancing distributes incoming traffic across multiple servers to improve performance, ensure high availability, and enable scalability, and this article explains its core principles, various classifications such as DNS, IP, layer‑2 and hybrid methods, and common algorithms like round‑robin, least connections, hash and weighted distribution.
This article explains the concept of load balancing, compares DNS, hardware, and software based solutions, and details common balancing algorithms such as round‑robin, load‑aware, response‑time, and hash strategies for building high‑performance server clusters.
