I don’t like to cover “current events” very much, but the American government just revealed a truly bewildering policy effectively banning import of new consumer router models. This is ridiculous for many reasons, but if this does indeed come to pass it may be beneficial to learn how to “homebrew” a router. Fortunately, you can make a router out of basically anything resembling a computer. I’ve used a linux powered mini-pc as my own router for many years, and have posted a few times before about how to make linux routers and firewalls in that time.

Your guide to learning Nix and flakes

Tmux is great. Tmux defaults are not. How to make use of a brilliant tool without breaking your fingers?

A collection of Unix/Linux/BSD commands and tasks which are useful for IT work or for advanced users, a compact and practical reference.

In these tcpdump examples you will find 22 tactical commands to zero in on the key packets. Know your network with this powerful packet capture tool. Examples for http, icmp, dns, snmp and more.

Using sar you can monitor performance of various Linux subsystems (CPU, Memory, I/O..) in real time. Using sar, you can also collect all performance data on an on-going basis, store them, and do historical analysis to identify bottlenecks. Sar is part of the sysstat package. This article explains how to install and con

Explanation of everything you can see in htop/top on Linux

“DoudouLinux reveals to children the creative, educative, cultural and fun potential that is lying dormant inside every computer.” DoudouLinux is (...)

This talk discusses Linux profiling using perf_events (also called "perf") based on Netflix's use of it. It covers how to use perf to get CPU profiling working and overcome common issues. The speaker will give a tour of perf_events features and show how Netflix uses it to analyze performance across their massive Amazon EC2 Linux cloud. They rely on tools like perf for customer satisfaction, cost optimization, and developing open source tools like NetflixOSS. Key aspects covered include why profiling is needed, a crash course on perf, CPU profiling workflows, and common "gotchas" to address like missing stacks, symbols, or profiling certain languages and events.

While dealing with big genetic data sets I often got stuck with limitation of programming languages in terms of reading big files. Also so...