Planet Guix

How To Trust A Machine

Let’s reflect on some of my recent work that started with understanding Trisquel GNU/Linux, improving transparency into apt-archives, working on reproducible builds of Trisquel, strengthening verification of apt-archives with Sigstore, and finally thinking about security device threat models. A theme in all this is improving methods to have trust in machines, or generally any external entity. While I believe that everything starts by trusting something, usually something familiar and well-known, we need to deal with misuse of that trust that leads to failure to deliver what is desired and expected from the trusted entity. How can an entity behave to invite trust? Let’s argue for some properties that can be quantitatively measured, with a focus on computer software and hardware:

The Full-Source Bootstrap: Building from source all the way down

We are delighted and somewhat relieved to announce that the third reduction of the Guix bootstrap binaries has now been merged in the main branch of Guix! If you run guix pull today, you get a package graph of more than 22,000 nodes rooted in a 357-byte program—something that had never been achieved, to our knowledge, since the birth of Unix.

Second impressions of Guix 1.4

While my first impression of Guix 1.4rc2 on NV41PZ was only days ago, the final Guix 1.4 release has happened. I thought I should give it a second try, although being at my summer house with no wired ethernet I realized this may be overly optimistic. However I am happy to say that a guided graphical installation on my new laptop went smooth without any problem. Practicing OS installations has a tendency to make problems disappear.

Guix 1.4 on NV41PZ

On the shortlist of things to try on my new laptop has been Guix. I have been using Guix on my rsnapshot-based backup server since 2018, and experimented using it on a second laptop but never on my primary daily work machine. The main difference with Guix for me, compared to Debian (or Trisquel), is that Guix follows a rolling release model, even though they prepare stable versioned installation images once in a while. It seems the trend for operating system software releases is to either following a Long-Term-Support approach or adopt a rolling approach. Historically I have found that the rolling release approach, such as following Debian testing, has lead to unreliable systems, since little focus was given to system integration stability. This probably changed in the last 10 years or so, and today add-on systems like Homebrew on macOS gives me access to modern releases of free software easily. While I am likely to stay with LTS releases of GNU/Linux on many systems, the experience with rolling Guix (with unattended-upgrades from a cron job to pull in new code continously) on my backup servers has been smooth: no need for re-installation or debugging of installations for over four years!