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Table of Contents
2. Optimize Kernel & System Limits
3. Optimize Static Content & Caching
4. Use Gzip (But Wisely)
5. Monitor & Log Efficiently
6. Scale Horizontally (If Needed)
Home Operation and Maintenance Nginx Optimizing Nginx for High Traffic

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Aug 02, 2025 am 01:12 AM

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To optimize Nginx performance under high traffic, you need to start from six aspects: configuration, system, cache, compression, log and expansion: 1. Set worker_processes to the number of CPU cores and increase worker_connections (such as 4096) to improve concurrency capabilities; 2. Adjust system file descriptor restrictions and TCP parameters (such as somaxconn, tcp_tw_reuse), and enable epoll event model; 3. Enable long-term cache and open_file_cache for static resources to reduce disk I/O; 4. Enable moderate gzip compression (levels 1–3) to save bandwidth; 5. Turn off static resource access logs and use buffered logs to reduce write frequency; 6. Enable horizontal scaling through upstream load balancing and CDN. Ultimately, the effect must be verified through stress testing tools and continuously monitored key indicators to ensure complete and effective optimization.

Optimizing Nginx for High Traffic

When running Nginx under high traffic—say, thousands or tens of thousands of concurrent connections—default settings won't cut it. You'll need to tune both Nginx itself and the underlying system to handle the load efficiently without dropping requests or spiking latency.

Optimizing Nginx for High Traffic

Here's how to optimize Nginx for high traffic, broken down into key areas:


1. Tune Nginx Worker Processes & Connections

Nginx uses an event-driven, asynchronous architecture. To maximize CPU utilization:

Optimizing Nginx for High Traffic
  • Set worker_processes to match the number of CPU cores:
     worker_processes auto;
  • Increase worker_connections per worker:
     events {
        worker_connections 4096;
    }

    With 4 workers × 4096 connections = 16,384 concurrent connections per Nginx instance (theoretical max). Monitor with netstat or ss -s .

? Tip: Use worker_rlimit_nofile to raise the file descriptor limit per worker if hitting "too many open files" errors.

Optimizing Nginx for High Traffic

2. Optimize Kernel & System Limits

Nginx is only as fast as the OS allows. Tune these:

  • Increase file descriptor limits ( /etc/security/limits.conf ):

     nginx soft nofile 65536
    nginx hard nofile 65536
  • Tune TCP stack for high concurrency ( /etc/sysctl.conf ):

     net.core.somaxconn = 65535
    net.ipv4.tcp_max_syn_backlog = 65535
    net.ipv4.tcp_tw_reuse = 1
    net.ipv4.ip_local_port_range = 1024 65535

    Apply with sysctl -p .

  • Enable epoll (Linux) :

     events {
        use epoll;
        multi_accept on;
    }

3. Optimize Static Content & Caching

  • Serve static assets directly from memory or fast storage:
     location /static/ {
        expires 1y;
        add_header Cache-Control "public, immutable";
    }
  • Use open_file_cache to reduce disk I/O:
     open_file_cache max=100000 inactive=20s;
    open_file_cache_valid 30s;
    open_file_cache_min_uses 2;
    open_file_cache_errors on;

4. Use Gzip (But Wisely)

Compressing responses saves bandwidth but costs CPU. Balance it:

 gzip on;
gzip_min_length 1024;
gzip_comp_level 3; # Level 1–3 for high traffic (CPU vs size tradeoff)
gzip_types text/plain text/css application/json application/javascript;

5. Monitor & Log Efficiently

  • Disable access logs for static assets:
     location /static/ {
        access_log off;
    }
  • Use buffered logging:
     access_log /var/log/nginx/access.log main buffer=32k flush=1m;

6. Scale Horizontally (If Needed)

  • Load balance across multiple Nginx instances (or apps) using upstream :
     upstream backend {
        least_conn;
        server app1:8080;
        server app2:8080;
    }
  • Consider using a CDN for static content to offload Nginx entirely.

Final Tip : Always test changes under realistic load using tools like ab , wrk , or hey . Monitor metrics like:

  • nginx_status (enable with stub_status )
  • CPU, memory, and network I/O
  • 5xx errors and request latency

Optimizing Nginx isn't just about config—it's about aligning the whole stack: OS, network, app, and infrastructure. Start with the basics above, then iterate based on real-world performance.

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