There is a post about getting overwhelmed by 15 containers and people not wanting to turn the post into a container measuring contest.
But now I am curious, what are your counts? I would guess those of you running k*s would win out by pod scaling
docker ps | wc -l
For those wanting a quick count.
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- Because I’m old, crusty, and prefer software deployments in a similar manner.
Isn’t that harder?
It depends a lot on what you want to do and a little on what you’re used to. It’s some configuration overhead so it may not be worth the extra hassle if you’re only running a few services (and they don’t have dependency conflicts). IME once you pass a certain complexity level it becomes easier to run new services in containers, but if you’re not sure how they’d benefit your setup, you’re probably fine to not worry about it until it becomes a clear need.
I salute you and wish you the best in never having a dependency conflict.
I’ve been resolving them since the late 90s, no worries.
140 running containers and 33 stopped (that I spin up sometimes for specific tasks or testing new things), so 173 total on Unraid. I have them gouped into:
- 118 Auto-updates (low chance of breaking updates or non-critical service that only I would notice if it breaks)
- 55 Manual-updates (either it’s family-facing e.g. Jellyfin, or it’s got a high chance of breaking updates, or it updates very infrequently so I want to know when that happens, or it’s something I want to keep particular note of or control over what time it updates e.g. Jellyfin when nobody’s in the middle of watching something)
I subscribe to all their github release pages via FreshRSS and have them grouped into the Auto/Manual categories. Auto takes care of itself and I skim those release notes just to keep aware of any surprises. Manual usually has 1-5 releases each day so I spend 5-20 minutes reading those release notes a bit more closely and updating them as a group, or holding off until I have more bandwidth for troubleshooting if it looks like an involved update.
Since I put anything that might cause me grief if it breaks in the manual group, I can also just not pay attention to the system for a few days and everything keeps humming along. I just end up with a slightly longer manual update list when I come back to it.
I’ve never looked into adding GitHub releases to FreshRSS. Any tips for getting that set up? Is it pretty straight forward?
I have 43 running, and this was a great reminder to do some cleanup. I can probably reduce my count by 5-10.
I know using work as an example is cheating, but around 1400-1500 to 5000-6000 depending on load throughout the day.
At home it’s 12.
I was watching a video yesterday where an org was churning 30K containers a day because they didn’t profile their application correctly and scaled their containers based on a misunderstanding how Linux deals with CPU scheduling.
Yeah that shit is more common than people think.
A big part of the business of cloud providers is that most orgs have no idea how to do shit. Their enterprise consultants are also wildly variable in competence.
There was also a large amount of useless bullshit that I needed to cut down since being hired at my current spot, but the amount of containers is actually warranted. We do have that traffic, which is both happy and sad, since while business is booming, I have to deal with this.
All of you bragging about 100+ containers, please may in inquire as to what the fuck that’s about? What are you doing with all of those?
In my case, most things that I didn’t explicitly make public are running on Tailscale using their own Tailscale containers.
Doing it this way each one gets their own address and I don’t have to worry about port numbers. I can just type http://cars/ (Yes, I know. Not secure. Not worried about it) and get to my LubeLogger instance. But it also means I have 20ish copies of just the Tailscale container running.
On top of that, many services, like Nextcloud, are broken up into multiple containers. I think Nextcloud-aio alone has something like 5 or 6 containers it spins up, in addition to the master container. Tends to inflate the container numbers.
Ironic that Nextcloud AIO spins up multiple…
Kube makes it easy to have a lot, as a lot of things you need to deploy on every node just deploy on every node. As odd as it sounds, the number of containers provides redundancy that makes the hobby easy. If a Zimaboard dies or messes up, I just nuke it, and I don’t care whats on it.
A little of this, a little of that…I may also have a problem… >_>;
The List
Quickstart
- dockersocket
- ddns-updater
- duckdns
- swag
- omada-controller
- netdata
- vaultwarden
- GluetunVPN
- crowdsec
Databases
- postgresql14
- postgresql16
- postgresql17
- Influxdb
- redis
- Valkey
- mariadb
- nextcloud
- Ntfy
- PostgreSQL_Immich
- postgresql17-postgis
- victoria-metrics
- prometheus
- MySQL
- meilisearch
Database Admin
- pgadmin4
- adminer
- Chronograf
- RedisInsight
- mongo-express
- WhoDB
- dbgate
- ChartDB
- CloudBeaver
Database Exporters
- prometheus-qbittorrent-exporter
- prometheus-immich-exporter
- prometheus-postgres-exporter
- Scraparr
Networking Admin
- heimdall
- Dozzle
- Glances
- it-tools
- OpenSpeedTest-HTML5
- Docker-WebUI
- web-check
- networking-toolbox
Legally Acquired Media Display
- plex
- jellyfin
- tautulli
- Jellystat
- ErsatzTV
- posterr
- jellyplex-watched
- jfa-go
- medialytics
- PlexAniSync
- Ampcast
- freshrss
- Jellyfin-Newsletter
- Movie-Roulette
Education
- binhex-qbittorrentvpn
- flaresolverr
- binhex-prowlarr
- sonarr
- radarr
- jellyseerr
- bazarr
- qbit_manage
- autobrr
- cleanuparr
- unpackerr
- binhex-bitmagnet
- omegabrr
Books
- BookLore
- calibre
- Storyteller
Storage
- LubeLogger
- immich
- Manyfold
- Firefly-III
- Firefly-III-Data-Importer
- OpenProject
- Grocy
Archival Storage
- Forgejo
- docmost
- wikijs
- ArchiveTeam-Warrior
- archivebox
- ipfs-kubo
- kiwix-serve
- Linkwarden
Backups
- Duplicacy
- pgbackweb
- db-backup
- bitwarden-export
- UnraidConfigGuardian
- Thunderbird
- Open-Archiver
- mail-archiver
- luckyBackup
Monitoring
- healthchecks
- UptimeKuma
- smokeping
- beszel-agent
- beszel
Metrics
- Unraid-API
- HDDTemp
- telegraf
- Varken
- nut-influxdb-exporter
- DiskSpeed
- scrutiny
- Grafana
- SpeedFlux
Cameras
- amcrest2mqtt
- frigate
- double-take
- shinobipro
HomeAuto
- wyoming-piper
- wyoming-whisper
- apprise-api
- photon
- Dawarich
- Dawarich—Sidekiq
Specific Tasks
- QDirStat
- alternatrr
- gaps
- binhex-krusader
- wrapperr
Other
- Dockwatch
- Foundry
- RickRoll
- Hypermind
Plus a few more that I redacted.
I look at this list and cry a little bit inside. I can’t imagine having to maintain all of this as a hobby.
From a quick glance I can imagine many of those services don’t need much maintenance if any. E.g. RickRoll likely never needs any maintenance beyond the initial setup.
61 containers in 26 docker files.
0, it’s all organised nicely with nixos
Boooo, you need some chaos in your life. :D
That’s why I have one host called
theBarreland it’s just 100 Chaos Monkeys and nothing else
deleted by creator
No jails?
Four LXCs
49, I could imagine running all of those bare would be hard with dependencies
Uh… Probably somewhere around 150?
I still haven’t figured out containers. 🙁
How come? What do you use to run them and what is it you have a hard time with?
I’m using docker. Tried to set up Jellyfin in one but I couldn’t for the life of me figure out how to get it to work, even following the official documentation. Ended up just running the jellyfin package from my distros repo, which worked fine for me. Also tried running a tor snowflake, which worked, but there was some issue with the NAS being restricted and I couldn’t figure out how to fix that. I kinda gave up at that point and saved the whole container thing to figure out another day. I only switched to Linux and started self-hosting last year, so I’m still pretty new to all of this.
If you do decide to look in to containers again and get stuck please make a post. We are glad to help out. A tip I can give you when asking for help. Tell the system you are using and how. Docker with compose files or portainer or something else etc. If using compose also add the yaml file you are using.
Yo, I finally got it figured out. 😂 Set up Navidrome last night, and just finished setting up Jellyfin. Appreciate the encouragement. ✌
I will definitely try again at some point in the next year, so I will keep that in mind! I appreciate the kind words. A lot of what you said is over my head at the moment though, so I’ve got my work cut out for me. 😅
Docker Compose is really the easiest way to self-host.
Copy a file, usually provided by the developers of the app you want to run, change some values if instructed by the
# comments, rundocker compose upand it “just works”.And I say that as someone who has done everything from distro-provided packages to compiling from source, Nix, podman systemd, and currently running a full-blown multi-node distributed storage Kubernetes cluster at home.
Just use docker compose.
Docker-compose is the way. Got Navidrome set up last night, and just finished setting up Jellyfin. Appreciate the input!
I’m pretty sure I was at the same point years ago. The good thing is, next time you look into containers it’ll likely be really easy and you’ll wonder where you got stuck a year or two ago.
At least that’s what has happened to me more times than I can remember.
You were totally right. Got Navidrome set up last night, and just finished setting up Jellyfin. There were a few places I was scratching my head (the official documentation for both those isn’t great if you don’t already know how docker works) but I worked through it and now they’re both up and running great! Appreciate the kind words!
Zero.
About 35 NixOS VMs though, each running either a single service (e.g. Paperless) or a suite (Sonarr and so on plus NZBGet, VPN,…).
There’s additionally a couple of client VMs. All of those distribute over 3 Proxmox hosts accessing the same iSCSI target for VM storage.
SSL and WireGuard are terminated at a physical firewall box running OpnSense, so with very few exceptions, the VMs do not handle any complicated network setup.
A lot of those VMs have zero state, those that do have backup of just that state automated to the NAS (simply via rsync) and from there everything is backed up again through borg to an external storage box.
In the stateless case, deploying a new VM is a single command; in the stateful case, same command, wait for it to come up, SSH in (keys are part of the VM images), run
restore-<whatever>.On an average day, I spend 0 minutes managing the homelab.
Why VMs instead of contsiners? Seems like way more processing overhead.
Eh… Not really. Qemu does a really good job with VM virtualizarion.
I believe I could easily build containers instead of VMs from the nix config, but I actually do like having a full VM: since it’s running a full OS instead of an app, all the usual nix tooling just works on it.
Also: In my day job, I actually have to deal quite a bit with containers (and kubernetes), and I just… don’t like it.
Yeah, just wondered because containers just hook into the kernal in a way that doesn’t have overhead. Where as a VM has to emulate the entire OS. But hey I get it, fixing stuff inside the container can be a pain
Am not using docker yet. Currently I just have one Proxmox LXC, but am planning on selfhosting a lot more in the near future…
Awesome! I like ProxMox. Check out the Helper Scripts if you haven’t already. Some people like them, some don’t.
Zero. Either it’s just a service with no wrappers, or a full VM.
Why a full VM, that seems like a ton of overhead
For some convoluted networking things it’s easier for me to have a full “machine” as it were
