sovietmudkipz
10 hours ago
Hobbyist game dev here with random systemd thoughts. I’ve recently started to lean on systemd more as my ‘local game server process manager’ process. At first I thought I’d have to write this up myself as a whole slew of custom code, but then I realized the linux distros I use have systemd. That + cgroups and profiling my game server’s performance lets me pack an OS with as many game servers dynamically (target 80% resource utilization, funny things happen after that — things I don’t quite understand).
In this way I’m able to set up AWS EC2 instances or digital ocean droplets, a bunch of game servers spin up and report back their existence to a backend game services API. So far it’s working but this part of my project is still in development.
I used to target containerizing my apps, which adds complexity, but often in AWS I have to care about VMs as resources anyways (e.g. AWS gamelift requires me to spin up VMs, same with AWS EKS). I’m still going back and forth between containerizing and using systemd; having a local stack easily spun up via docker compose is nice, but with systemd what I write locally is basically what runs in prod environment, and there’s less waiting for container builds and such.
I share all of this in case there’s a gray beard wizard out there who can offer opinions. I have a tendency to explore and research (it’s fuuun!) so I’m not sure if I’m on a “this is cool and a great idea” path or on a “nobody does this because <reasons>” path.
miladyincontrol
43 minutes ago
> I’m still going back and forth between containerizing and using systemd
Why not both? Systemd allows you to make containers via nspawn, which are defined just about the exact same as you do a regular systemd service. Best of both worlds.
dijit
10 hours ago
This is sort of how I designed Accelbytes managed gameserver system (previously called: Armada).
You provide us a docker image, and we unpack it, turn it into a VM image and run as many instances as you want side-by-side with CPU affinity and NUMA awareness. Obviating the docker network stack for latency/throughput reasons - since you can
They had tried nomad, agones and raw k8s before that.
sovietmudkipz
10 hours ago
Checking out the website now. Looks enticing. Would a user of accelbyte multiplayer services still be in the business of knowing about underlying VMs? I caught some copy on the website that led me to question.
As a hobbyist part of me wants the VM abstracted completely (which may not be realistic). I want to say “here’s my game server process, it needs this much cpu/mem/network per unit, and I need 100 processes” and not really care about the underlying VM(s), at least until later. The closest thing I’ve found to this is AWS fargate.
Also holy smokes if you were a part of the team that architected this solution I’d love to pick your brain.
maccard
8 hours ago
There’s a couple of providers that give you that kind of abstraction. Playfab is _pretty close_ but it’s fairly slow to ramp up and down. There is/was multiplay - they’ve had some changes recently and I’m not sure what their situation is right now. There’s also stuff like Hathora (they’re great but expensive).
At a previous job, we used azure container apps - it’s what you _want_ fargate to be. AIUI, Google Cloud Run is pretty much the same deal but I’ve no experience with it. I’ve considered deploying them as lambdas in the past depending on session length too…
gcr
3 hours ago
Cloud Run tries to be this but every service like this has quirks. For example, GCR doesn’t let you deploy to high-CPU/MEM instances, has lower performance due to multi-tenant hosts, etc
dijit
8 hours ago
That was was actually the original intent. If we scale to bare metal providers we can get much more performance. m
By making it an “us” problem to run the infrastructure at a good cost, and be cheaper then than AWS for us to run, meaning we could take no profit on cloud vms. making us cost competitive as hell.
madjam002
9 hours ago
Definitely don't recommend going down this path if you're not already familiar with Nix, but if you are, a strategy that I find works really well is to package your software with Nix, then you can run it easily via systemd but also create super lightweight containers using nix-snapshotter[0] so you don't have to "build" container images if you still want the flexibility of containers. You can then run the containers on Docker or Kubernetes without having to build heavy images.
frantathefranta
9 hours ago
I don't recommend getting familiar with Nix because your chances of getting nerd sniped by random HN comments increase exponentially.
reactordev
9 hours ago
This actually works really well with custom user scripts to do the initial setup. It’s also trivial to do this with docker/podman if you don’t want it to take over the machine. Batching/Matchmaking is the hard part of this, setting up a fleet is the fun part of this.
I’ve also done Microsoft Orleans clusters and still recommend the single pid, multiple containers/processes approach. If you can avoid Orleans and kubernetes and all that, the better. It just adds complexity to this setup.
esseph
10 hours ago
If you use podman quadlets, you get containers and systemd together as a first class citizen, in a config that is easily portable to kubernetes if you need more complex features.
sovietmudkipz
9 hours ago
O.O this may be the feature that gets me into podman over docker.
asmor
an hour ago
They're very cool. I actually combine them with Nix. Because why not.
esseph
8 hours ago
The shift from docker to podman was originally quite painful at first, but it's much better, very usable, and quite stable now.
Still, I can see the draw for independent devs to use docker compose. Teams and orgs though makes sense to use podman and systemd for the smaller stuff or dev, and then literally export the config as a kubernetes yaml.
rbjorklin
9 hours ago
You sound like you've explored at least a few options in this space. Have you looked at https://agones.dev/ ?
sovietmudkipz
9 hours ago
Yes! It’s a great project. I’m super happy they have a coherent local development story. I kinda abandoned using it though when I said “keeeep it simple” and stopped using containers/k8s. I think I needed to journey through understanding why multiplayer game services like Agones/gamelift/photon were set up like they were. I read through Multiplayer Game Programming: Architecting Networked Games by Joshua Glazer and Sanjay Madhav really helped (not to mention allowed me to better understand GDC talks over multiplayer topics much better).
This all probably speaks to my odd prioritization: I want to understand and use. I’ve had to step back and realize part of the fun I have in pursuing these projects is the research.
baggy_trough
10 hours ago
Did you try systemd's containers (nspawn)?
sovietmudkipz
10 hours ago
…no. TIL.
nszceta
9 hours ago
I wrote a blog post about using nspawn from an Arch Linux host. The Arch Wiki shows more information about how to get a Debian base if you want that instead. Link to the wiki is at the bottom of the blog post along with more references.
https://adamgradzki.com/lightweight-development-sandboxes-wi...
panick21_
9 hours ago
Portable services are another option.
open-paren
9 hours ago
And podman systemd quadlets yet another
https://docs.podman.io/en/latest/markdown/podman-systemd.uni...
sovietmudkipz
9 hours ago
Wow systemd can do more than I thought to imagine it could
bonzini
9 hours ago
Technically that's part of podman, not systemd. But it's the same architecture that was used to support sysvinit scripts.
(In fact, nothing prevents anyone from extracting and repackaging the sysvinit generator, now that I think of it).
colechristensen
9 hours ago
> (target 80% resource utilization, funny things happen after that — things I don’t quite understand).
The closer you get to 100% resource utilization the more regular your workload has to become. If you can queue requests and latency isn't a problem, no problem, but then you have a batch process and not a live one (obviously not for games).
The reason is because live work doesn't come in regular beats, it comes in clusters that scale in a fractal way. If your long term mean is one request per second what actually happens is you get five requests in one second, three seconds with one request each, one second with two requests, and five seconds with 0 requests (you get my point). "fractal burstiness"
You have to have free resources to handle the spikes at all scales.
Also very many systems suffer from the processing time for a single request increasing as overall system loads increase. "queuing latency blowup"
So what happens? You get a spike, get behind, and never ever catch up.
https://en.wikipedia.org/wiki/Network_congestion#Congestive_...
sovietmudkipz
8 hours ago
Yea. I realize I ought to dig into things more to understand how to push past into 90%-95% utilization territory. Thanks for the resource to read through.
mpyne
3 hours ago
You absolutely do not want 90-95% utilization. At that level of utilitization random variability alone is enough to cause massive whiplash in average queue lengths.
The cycle time impact of variability of a single-server/single-queue system at 95% load is nearly 25x the impact on the same system at 75% load, and there are similar measures for other process queues.
As the other comment notes, you should really work from an assumption that 80% is max loading, just as you'd never aim to have a swap file or swap partition of exactly the amount of memory overcommit you expect.
rcxdude
2 hours ago
Man, if there's one idea I wish I could jam into the head of anyone running an organization, it would be queuing theory. So many people can't understand that slack is necessary to have quick turnaround.
colechristensen
7 hours ago
One way to think about it is 80% IS full utilization.
The engineering time, the risks of decreased performance, and the fragility of pushing the limit at some point become not worth the benefits of reaching some higher metric of utilization. If it's not where you are, that optimum trade off point is somewhere.