I used to tinker a lot with my systems but as I gotten older and my time became more limited, I've abandoned a lot of it and now favor "getting things done". Though I still tinker a lot with my systems and have my workflow and system setup, it is no longer at the level of re-compiling the kernel with my specific optimization sort of thing, if that makes sense. I am now paid to "tinker" with my clients' systems but I stay away from the unconventional there, if I can.
I did reach a point where describing systems is useful at least as a way of documenting them. I keep on circling around nixos but haven't taken the plunge yet. It feels like containerfiles are an easier approach but they(at least docker does) sort of feel designed around describing application environments as opposed to full system environments. So your approach is intriguing.
They absolutely are! I actually originally just wanted a base container image for running services on my hosts that a.) I could produce a full source code listing for and b.) have full visibility over the BoM, and realized I could just ‘FROM scratch’ & pull in gentoo’s stage3 to basically achieve that. That also happens to be the first thing you do in a new gentoo chroot, and I realized that pretty much every step in the gentoo install media that you run after (installing software, building the kernel, setting up users, etc) could also be run in the container. What are containers if not “portable executable chroots” after all? My first version of this build system was literally to then copy / on the container to a mounted disk I manually formatted. Writing to disk is actually the most unnatural part of this whole setup since no one really has a good solution for doing this without using the kernel; I used to format and mount devices directly in a privileged container but now I just boot a qemu VM in an unprivileged container and do it in an initramfs since I was already building those manually too. I found while iterating on this that all of the advantages you get from Containerfiles (portability, repeatability, caching, minimal host runtime, etc) naturally translated over to the OS builder project, and since I like deploying services as containers anyways there’s a high degree of reuse going on vs needing separate tools and paradigms everywhere.
I’ll definitely write it up and post it to HN at some point, trying to compact the whole project in just that blurb felt painful.
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Hazing us a cycle of abuse that expresses in a magnification of the abuse inflicted in the hazing than was suffered in the previous cycle.
Maybe you are optimizing your personnel.
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While I completely agree with you and have had the same experience, I'll try to phrase it in a way that might "click" for you:
1. An account is an abstract bucket that aggregates things of the same type. For example, the "Sales" account contains all the income from sales and the "Furniture" account represents the value of all the furniture. The "bank account" represents your dollars stored in the bank.
2. A transaction is an event where something of value is moved from one account to another. For example, when you buy furniture, money goes out of your bank account and is "transformed" into furniture. When you get paid, dollars go from an "Income" account to a "Bank account".
3. The goal of double-entry bookkeeping is to show both the source and destination of every transaction. For example, if you have furniture worth $375 in your possession, where did that value come from? Right, a transaction "debited" the furniture account by $375 and also "credited" the "bank account" with the same amount.
I suspect the original article only makes sense if you already have a solid understanding of both graphs and double-entry bookkeeping though...
Currently we do shadow shifts for a month or two first, but still eventually drop people into the deep end with whatever experience production gifts them in that time. That experience is almost certainly going to be a subset of the types of issues we see in a year, and the quantity isn’t predictable. Even if the shadowee drives the recovery, the shadow is still available for support & assurance. I don’t otherwise have a good solution for getting folks familiar with actually solving real-world problems with our systems, by themselves, under severe time pressure, and I was thinking controlled chaos could help bridge the gap.