Effective Methods to Distribute Traffic Among Proxy Servers > 자유게시판

Balancing load across multiple proxy devices is essential for maintaining high availability, reducing latency, and ensuring consistent performance under heavy traffic

You can implement round robin DNS to rotate proxy server addresses in responses, providing a simple, software-only way to balance traffic without extra infrastructure

No specialized load balancer is required; just proper DNS zone management suffices to begin distributing traffic

Many organizations rely on a front-facing load balancing layer to manage and route traffic intelligently to their proxy fleet

It may run on physical appliances or as software like HAProxy, NGINX, or hackmd Traefik, continuously checking backend status

Traffic is dynamically directed only to healthy endpoints, with failed nodes temporarily taken out of rotation

This ensures that users are always directed to functioning proxies and minimizes downtime

When servers vary in power, you can assign proportional traffic shares based on their resource capacity

A server with 16GB RAM and an 8-core CPU might be given a weight of 5, while a 4GB

This helps make better use of your infrastructure without overloading weaker devices

Session persistence is another important consideration

Certain services rely on in-memory session storage, making stickiness essential for functionality

Enable source IP-based persistence or cookie-based tracking to lock users to their assigned proxy

Without real-time analytics and responsive scaling, your proxy layer risks instability under fluctuating loads

Watch for spikes in 5xx errors, rising response times, or saturated connection pools as early warning signs

Proactive alerting lets your team intervene before users experience degraded performance or outages

Integrate your load balancer with Kubernetes HPA or AWS Auto Scaling to adjust capacity dynamically based on CPU, memory, or request volume

Never deploy without validating behavior under realistic traffic volumes

Leverage Locust, k6, or wrk to generate concurrent traffic and measure backend performance

It exposes configuration drift, timeout mismatches, or backend bottlenecks invisible during normal operation

Together, these six pillars form a robust, self-healing proxy architecture capable of sustaining high availability under unpredictable traffic patterns