How do Linux distro’s deal with this? I feel like however that’s done, I’d like node packages to work in a similar way - “package distro’s”. You could have rolling-release, long-term service w/security patches, an application and verification process for being included in a distro, etc.

It wouldn’t eliminate all problems, of course, but could help with several methods of attack, and also help focus communities and reduce duplication of effort.

If I’m okay with the software (not just trying it out) am I missing out by not using dockers?

No, I think in your use case you’re good. A lot of the key features of containers, such as immutability, reproduceability, scaling, portability, etc. don’t really apply to your use case.

If you reach a point where you find you want a stand-alone linux server, or an auto-reconfiguring reverse proxy to map domains to your services, or something like that - then it starts to have some additional benefit and I’d recommend it.

In fact, using native builds of this software on Windows is probably much more performant.

Containers can be based on operating systems that are different to your computer.

Containers utilise the host’s kernel - which is why there needs to be some hoops to run Linux container on Windows (VM/WSL).

That’s one of the most key differences between VMs and containers. VMs virtualise all the hardware, so you can have a totally different guest and host operating systems; whereas because a container is using the host kernel, it must use the same kind of operating system and accesses the host’s hardware through the kernel.

The big advantage of that approach, over VMs, is that containers are much more lightweight and performant because they don’t have a virtual kernel/hardware/etc. I find its best to think of them as a process wrapper, kind of like chroot for a specific application - you’re just giving the application you’re running a box to run in - but the host OS is still doing the heavy lifting.

As always, it depends! I’m a big fan of “the right tool for the job” and I work in many languages/platforms as the need arises.

But for my “default” where I’m building up the largest codebase, I’ve gone for the following:

• TypeScript
  • Strongly-typed (ish) which makes for a nice developer experience
  • Makes refactoring much easier/less error-prone.
  • Runs on back-end (node) and front-end, so only one language, tooling, codebase, etc. for both.
• SvelteKit
  • Svelte as a front-end reactive framework is so nice and intuative to use, definite the best there is around atm.
  • It’s hybrid SSR/CSR is amazing, so nice to use.
  • As the back-end it’s “OK”, needs a lot more work IMO, but I do like it for a lot of things - and can not use it where necessary.
• Socket.IO
  • For any real-time/stream based communication I use this over plain web sockets as it adds so much and is so easy to use.
• PostgreSQL
  • Really solid database that I love more and more the more I use it (and I’ve used it a lot, for a very long time now!)
• Docker
  • Easy to use container management system.
  • Everything is reproducible, which is great for development/testing/bug-fixing/and disasters.
  • Single method to manage all services on all servers, regardless of how they’re implemented.
• Traefik
  • Reverse proxy that can be set to auto-configure based on configuration data in my docker compose files.
  • Automatically configuring takes a pain point out of deploying (and allows me to fully automate deployment).
  • Really fast, nice dashboard, lots of useful middleware.
• Ubuntu
  • LTS releases keep things reliable.
  • Commercial support available if required.
  • Enough name recognition that when asked by clients, this reassures them.

I was using file merging, but one issue I found was that arrays don’t get merged - and since switching to use Traefik (which is great) there are a lot of arrays in the config! And I’ve since started using labels for my own tooling too.

I was recently helping someone working on a mini-project to do a bit of parsing of docker compose files, when I discovered that the docker compose spec is published as JSON Schema here.

I converted that into TypeScript types using JSON Schema to TypeScript. So I can create docker compose config in code and then just export it as yaml - I have a build/deploy script that does this at the end.

But now the great thing is that I can export/import that config, share it between projects, extend configs, mix-in, and so on. I’ve just started doing it and it’s been really nice so far, when I get a chance and it’s stabilised a bit I’m going to tidy it up and share it. But there’s not much I’ve added beyond the above at the moment (just some bits to mix-in arrays, which was what set me off on this whole thing!)

I just have a static page that I randomly change - you can see mine here. In this case I was testing the idea of having text within an SVG for better scaling from mobile to desktop, and also I’m loving orange and purple at the moment for some reason! Oh, and I was testing automated deployments from CI/CD, so I always use my own base domain with those first tests!

Are there any good alternatives?

We’ve started using Jitsi for video/screen-sharing and that’s going well so far - but it’s based very much around the “corporate meeting” concept, rather than “playing D&D with mates” or “online gaming with people”.

Mumble is decent enough for voice comms, but of course lacks video, which for my friend group is a deal-breaker. While the audio quality is noticably better most of the time, its noise suppression is not as good as Discord. It does have text chat, but lacks the utility of Discord’s chat - which we use in D&D for sharing information, images, note-taking, etc.

Things do game tracking/voice like Steam, Xbox Live, PSN, etc. but then each only supports their own platforms and services - whereas Discord is common to all.

I think what DIscord does well is bring together a few really established, tried and tested technologies, under one roof and integrates them seamlessly. There is definitely value in that, and I would be really interested in an open source/self-hosted equivalent.

My main concerns with Discord are:

1. They inevitably ramp up income earning opportunities and therefore eventually compromise the system.
2. It can’t be catalogued/searched easily.
3. It seems like a near-perfect platform for harvesting data for ML (and the platform has some traction with the ML community already).

Same - for Windows it’s by far and away the best PDF reader for me. It’s shocking how far down the bloat rabbit hole Adobe Reader has gone!