Running Python, Ruby, and Perl from one Bash script to detect the CD-ROM drive tray status using Linux ioctl.

The Sun Ultra 24 is objectively one of the most beautiful enterprise workstations ever created. I picked one up last year but its hardware is rather dated and needs an upgrade to keep it as a daily driver. Let’s do it.

Background

The Sun Ultra 24 was one of the last workstations from Sun Microsystems. In their final years of making workstations they started offering x86-based systems with AMD Opteron or Intel Core 2 64-bit CPUs. Compared to UltraSPARC-based hardware of the past, these systems were pretty much bog-standard PCs. ATX* motherboards, SATA drives, DVI, DisplayPort, etc.

In this guide we’ll setup cloudflare and Pi-hole together with docker-compose to create a portable and reproducible secure DNS solution.

Take a look at your monthly invoice from your ISP. If you have a line item for equipment rentals, you’re being ripped off.

In my previous post Generating static data with Elixir comprehensions I showed how you can use comprehensions to generate static data in your Elixir application. That static data was stored as a Map in a module attribute and accessible with a function that returns the Map itself.

When building your application, you probably know how the static data will be accessed. Elixir has various ways of accessing data in a List, Keyword, or Map, and there are big differences in performance based on the size of tha data set. We’ll use the library benchee to measure the differences between the built-in access functions and compare that to approaches based on metaprogramming.

A common requirement in software is to have a static data resource in your application or library. These are typically resources that changes so infrequently that releasing a new version for a data change is fine. Of course you can build these data by hand, but this is error-prone and makes rebuilding the static data more labour intensive. These problems are exacerbated by larger data sets. As good lazy (i.e. efficient) developers we can use code to solve these problems.

When I start a new project or get setup to contribute to an existing one, the first thing on my mind is: show me the Dockerfile.

Why?

One of the main purposes of Docker is packaging an application with its dependencies into a portable image that can be run on most any host, thus simplifying deployments. Yet when it comes to development of these applications, Docker is often not part of the picture. Why go through the headache of installing version managers and other dependencies when Docker exists?

Pi-hole has been working like a charm on my network for years blocking ads. I also have it configured with DNS-over-HTTPS using cloudflared for extra security and privacy. Pi-hole has a great guide to setting-up DoH.

I recently reconfigured my home network with VLANs to separate the different kinds of devices on my network. There’s my primary/private LAN with the network gear, servers, and my personal systems. Then there’s a VLAN for scary IoT stuff and one for medium-trust devices like Xbox, PlayStation, Apple TV; devices that can access Plex for example but nothing more.

My favourite workstation is the Ultra 24 by Sun Microsystems.

Recently I’ve been intrigued by non-x86 developments in tech. Over the past few years as Moore’s Law has been breaking down, each new generation of x86 processors has been delivering smaller performance gains. Apple is rumoured to be building ARM-based MacBooks, Amazon is deploying ARM servers, Qualcomm is soon delivering the Snapdragon 8cx ARM processor for laptops. The performance is fantastic and power consumption will allow for laptops with all-day battery life. I’m excited.