Building a Million‑Request Load‑Balancing Architecture with LVS, Nginx, and Keepalived

This article explains how to design a high‑availability, million‑level concurrent architecture using LVS for layer‑4 load distribution, Nginx for intelligent application‑layer routing, and Keepalived for automatic failover, illustrated with clear diagrams and practical insights.

Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Building a Million‑Request Load‑Balancing Architecture with LVS, Nginx, and Keepalived

In scenarios requiring million‑level concurrent requests, a single server cannot bear the massive traffic, so a robust, highly available load‑balancing architecture is essential.

A classic and efficient solution combines LVS, Nginx, and Keepalived, addressing high concurrency, traffic distribution, and fault tolerance.

Overall architecture diagram
Overall architecture diagram

LVS operates at layer 4, handling massive TCP connections (e.g., tens of thousands per second) with low overhead, acting as the front‑line distributor that spreads requests evenly to a backend Nginx cluster, preventing individual Nginx nodes from being overwhelmed.

LVS architecture diagram
LVS architecture diagram

Nginx receives traffic forwarded by LVS and performs intelligent HTTP‑level load balancing based on request headers, URLs, etc. Multiple Nginx instances can be horizontally scaled, each optionally using Keepalived for VIP management or DNS/service discovery for traffic scheduling.

Nginx architecture diagram
Nginx architecture diagram

Keepalived monitors the health of LVS and Nginx, enabling automatic master‑backup failover. The LVS master binds a VIP to receive all user requests; Keepalived watches both master and standby nodes, and if the master fails, it instantly triggers a failover to maintain service continuity.

Keepalived architecture diagram
Keepalived architecture diagram

Overall, the LVS + Nginx + Keepalived combination provides a cost‑effective, mature, and stable solution for high‑concurrency and high‑availability scenarios.

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Backend Architectureload balancinghigh concurrencyNGINXLVSkeepalived
Mike Chen's Internet Architecture
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Mike Chen's Internet Architecture

Over ten years of BAT architecture experience, shared generously!

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