Operations 3 min read

Boost Linux Server Performance: Essential Kernel and File Limit Tweaks

This guide shows how to increase file descriptor limits, adjust TCP settings, and tune kernel parameters such as net.ipv4.tcp_max_syn_backlog on Linux systems, providing step‑by‑step commands for both individual users and all users to improve network performance and handle more concurrent connections.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Boost Linux Server Performance: Essential Kernel and File Limit Tweaks

1. Increase file descriptor limits

For the current shell:

ulimit -n 102400
echo "ulimit -n 102400" >> ~/.bashrc

For all users, edit /etc/security/limits.conf:

* soft nofile 102400
* hard nofile 102400

For the system-wide limit:

cat /proc/sys/fs/file-max
echo 1024000 > /proc/sys/fs/file-max

2. Adjust TCP kernel parameters

Edit /etc/sysctl.conf and add:

net.ipv4.ip_local_port_range = 1024 65000
net.ipv4.ip_conntrack_max = 10240

Apply the changes: sudo sysctl -p 3. Enable TCP TIME_WAIT reuse and recycle

In /etc/sysctl.conf add:

net.ipv4.tcp_tw_reuse = 1
net.ipv4.tcp_tw_recycle = 1

Apply immediately: sudo sysctl -p Understanding net.ipv4.tcp_max_syn_backlog

This kernel parameter controls the size of the SYN‑RECEIVED queue, which defaults to 512 or 1024. When the queue is full, the system stops accepting new TCP connections, helping prevent resource exhaustion. Increase it if you need to handle more simultaneous connection attempts.

Example to view the current value: cat /proc/sys/net/ipv4/tcp_max_syn_backlog On CentOS the default is 1024. To raise it, edit /etc/sysctl.conf and set, for example: net.ipv4.tcp_max_syn_backlog = 2048 Then reload:

sudo sysctl -p
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LinuxsysctlKernel TuningFile LimitsTCP Settings
MaGe Linux Operations
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MaGe Linux Operations

Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.

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