Designing Million-Request Architecture with LVS, Keepalived, and Nginx
The article explains how to build a million‑level high‑performance system by layering LVS with Keepalived for entry‑level redundancy and Nginx for flexible proxying, while adding health checks, logging, and auto‑scaling to ensure stability and rapid recovery.
High performance is the core of large‑scale systems; achieving million‑level traffic requires not only traffic splitting but also stable load bearing and fast recovery. In practice, a double‑layer or multi‑layer redundant topology is used, with a pair of LVS servers managed by Keepalived as the front‑end entry layer.
LVS (Linux Virtual Server) sits at the very front of the load‑balancing stack, operating at layer 4. Implemented in the Linux kernel, it delivers extremely high forwarding throughput and minimal resource consumption, making it capable of handling massive connections and request distribution. In a million‑level architecture, LVS is typically the first traffic entry point, quickly dispatching external requests to a downstream Nginx cluster.
Keepalived provides the high‑availability mechanism that LVS alone lacks. Using the VRRP protocol, Keepalived creates a virtual IP (VIP) that can float between the primary and backup LVS nodes. When the primary LVS fails, the standby node instantly takes over the VIP, ensuring continuous service. This automatic failover is critical for finance, e‑commerce, and government workloads.
Nginx sits behind LVS and handles layer 7 load balancing and reverse‑proxy duties. Unlike LVS, Nginx can route based on URL, domain, headers, and other application‑level attributes, and it also provides static‑resource caching, compression, rate limiting, and access control. By evenly distributing traffic across multiple application servers, Nginx reduces single‑point pressure and boosts overall throughput.
Combining LVS, Keepalived, and Nginx separates load‑balancing responsibilities across layers, delivering high performance, high availability, and strong scalability. To complete the solution, health‑check mechanisms, connection‑limit controls, log monitoring, and automatic scaling should be integrated, forming a fully observable and operable system capable of handling traffic spikes and rapid fault recovery.
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Architect Chen
Sharing over a decade of architecture experience from Baidu, Alibaba, and Tencent.
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