Linux Backups and Restorations
Master Linux backups via the command line. Learn to secure data using tools like rsync, SCP, tar compression, and file permissions.
Master Linux backups via the command line. Learn to secure data using tools like rsync, SCP, tar compression, and file permissions.
Troubleshoot server issues. This guide lists common Linux error log locations for syslog, Apache, Nginx, MySQL, and more to help debug problems.
Is your server slow? Learn how CPU cores, threads, and clock speed affect performance. Find out how to check, benchmark, and upgrade your CPU on Linux.
Learn how to decompress `.gz` and `.tar.gz` files in Linux. Our guide also covers the key differences between `TAR`, `GZ`, `TGZ`, and `ZIP` file formats.
Migrate your websites to a new Linux server. Learn about our managed migration service for cPanel, Plesk, and Interworx, or find DIY resources.
In Linux, nearly everything is treated as a file. Our collection of articles covers the essential commands for managing files and directories on your server.
Our collection of articles provides technical guides for installing, configuring, and managing the Apache web server on Linux operating systems.
Your complete guide to Linux server administration. Learn essential commands, user management, security best practices, and performance monitoring.
Linux server load high? Diagnose CPU, memory & I/O bottlenecks (`top`/`iotop`). Fix PHP/MySQL, handle abuse & malware for better performance.
Defend Apache vs Slowloris with `mod_reqtimeout`. Guide: install on EA3/EA4 & set `RequestReadTimeout` for header/body to drop slow attacks.
mod_qos and mod_reqtimeout are two Apache modules that help mitigate Slowloris-style attacks (a type of Denial of Service (DoS) attack that targets web servers by opening many simultaneous connections and keeping them alive as long as possible, thereby exhausting the server’s resources) by controlling how long and how much data clients are allowed to send….
Python 3 on Linux: Install via apt/dnf. *Crucial: Don’t break system Python!* Use pip with virtual environments for safe package mgmt.