No more guessing when apps crash! A detailed guide on configuring Core Dumps on Linux to catch Segmentation Faults and using gdb to find the exact line of code causing the error.
Don't let print() clutter your code. Discover how to use the Icecream library for professional Python debugging, with automatic variable and line logging that can be disabled with a single command.
Learn how to use the Rich library to upgrade your Python CLI from dull black-and-white to professional. Guide to creating tables, progress bars, and fast debugging.
strace lets you trace every system call a process makes on Linux — from file opens and network connections to lock waits — without needing source code or recompiling. This guide covers practical strace usage for debugging permission errors, missing files, hanging services, and I/O bottlenecks.
Docker Compose Profiles lets you isolate debug and monitoring tools from your core services within a single docker-compose.yml file. This article shares practical lessons from six months of production use, with concrete examples for local, staging, and production environments.
Python's logging module solves the debug and operational challenges that arise when print() is no longer enough. This guide covers basic setup, log rotation, organizing loggers by module, and how to log exceptions correctly so you never lose a traceback when production breaks.
Debugging on Linux is an essential skill. journalctl and dmesg are two powerful tools that help you identify the root cause of any issue, from services to hardware. This article guides you on how to use them effectively.
A hands-on guide to combining tcpdump and Wireshark for capturing and analyzing network traffic on Linux servers. Covers everything from basic filter commands to advanced intermittent packet loss debugging, with production-ready optimization tips.