This article explains the TCP TIME_WAIT state, its role in connection termination, the performance impact of large numbers of TIME_WAIT sockets, and practical optimization methods such as using keep‑alive and tuning Linux kernel parameters to mitigate the issue.
This guide explains how to maximize system performance by debugging and adjusting kernel parameters using sysctl, detailing command options, key network and security settings, recommended values, and related /proc/sys entries for tuning TCP, UDP, socket buffers, and other kernel behaviors.
This article explains the core functions of the Linux kernel, covering system calls, file abstraction, process scheduling, module management, the /proc virtual filesystem, and practical command‑line tools such as lsmod, modprobe, modinfo, and sysctl, with clear code examples.
This guide walks through practical Linux hardening steps—including minimal installation, SSH port changes, sudo privilege tailoring, extensive kernel sysctl tuning, firewall adjustments, system version hiding, file protection, and package installation strategies—to boost security and performance while keeping the system lean.
This guide explains why the default Linux kernel settings are unsuitable for high‑concurrency Nginx servers, shows how to edit /etc/sysctl.conf, and provides a curated list of TCP and network parameters with practical comments to improve throughput and latency.
The article explains why TCP’s TIME_WAIT state is essential for reliable data delivery, describes how excessive TIME_WAIT sockets can exhaust port resources in high‑concurrency short‑connection servers, and offers principled and practical mitigation techniques such as kernel sysctl tweaks and careful use of SO_LINGER.
This guide walks through hardening an Nginx web server on Linux by configuring default files, testing and reloading, enabling SELinux, mounting least‑privilege partitions, applying sysctl security parameters, removing unnecessary modules, and deploying an iptables‑based firewall with detailed command examples.
This guide shows how to diagnose a flood of MySQL TIME_WAIT sockets, adjust Linux kernel parameters (or Windows registry) to shorten the wait period, verify the improvement, and understand why improper connection handling can cause the issue.
This guide explains how to raise Linux user‑process file descriptor limits, adjust kernel TCP parameters, and use efficient I/O mechanisms such as epoll or AIO to support thousands of simultaneous TCP connections for high‑concurrency network programs.
This article describes how to configure and benchmark an Nginx‑based comet server to sustain two million simultaneous long‑lived connections by analyzing resource bottlenecks, tuning kernel parameters, adjusting file descriptor limits, and scaling client machines.
This guide explains how to protect Linux servers from SYN flood and DDoS attacks by tuning sysctl parameters, applying iptables rules, installing the free DDoS‑deflate script, and monitoring nginx logs to identify and block malicious IPs and user agents.
This article explains the purpose and differences of limits.conf and sysctl.conf, shows how PAM and sysctl modify user and system resource limits, provides file format details, ulimit command options, and practical configuration examples for both temporary and permanent kernel parameter tuning on Linux.
This guide explains how to increase Linux's per-process file descriptor limits, adjust kernel TCP parameters, and adopt high-performance I/O models such as epoll or AIO to support tens of thousands of concurrent TCP connections.
This guide walks you through installing and configuring Nginx for extreme request rates, optimizing kernel TCP settings, and using Tsung to benchmark a server that can sustain more than 900,000 requests per second, with detailed command examples and configuration snippets.
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.
