harbormaster VS hashi-ui

I use an HP ProLiant Microserver with four drives in a ZFS RAIDZ array and an SSD for the OS. For software, I mostly run it in Docker using a very small container orchestration program I wrote:

https://gitlab.com/stavros/harbormaster

I wrote something to do just that:

https://gitlab.com/stavros/harbormaster

SSH into the server, run the Docker container, give it a config file with the images you want to run, and it handles everything else automatically.

I needed something that would restart containers automatically when I pushed to a branch, so I wrote a few lines of code to do it:

https://gitlab.com/stavros/harbormaster

As far as PaaSes go, it's probably the simplest, and works really well.

I was in the same boat as you and built something simple that I really like:

https://gitlab.com/stavros/harbormaster

It'll just pull some repos, make sure the containers are up, and make your configuration simple and discoverable. It really works great at that.

I do this for our services, it works great and we can easily put SSO in front of them with CF Access. I publish a Docker container that you can use as a sidecar for your Compose deployments:

https://gitlab.com/stavros/docker-cloudflared

I use this with Harbormaster (https://gitlab.com/stavros/harbormaster) so I can expose containerized stuff without ever forwarding any ports outside of Docker.

I use Dokku for that (I can share my Bitwarden repo if you want, the entire thing is four lines or something). I also made https://gitlab.com/stavros/harbormaster for things that weren't so "web server -> app -> database" and love it.

I had the same problem and didn't want to manage things by hand, so I wrote Harbormaster:

https://gitlab.com/stavros/harbormaster

It basically pulls Compose apps from the git repositories you specify, builds the containers and makes sure they're running. Pretty simple and works really well for me.

(This post should read "Argo tunnel" instead of just "Argo")

I did the same to enable secure access to services via SSO at work. I used Harbormaster[1] to deploy Compose files, but it's otherwise the same setup.

One of the big advantages this has is that the services can't be accessed any other way (not even from the same host, as they only listen inside the Docker network). That makes it hard to forget some port exposed because you listened to 0.0.0.0 instead of localhost.

Cloudflare access is very easy to set up SSO with, as well. I'd recommend this setup if you need it, though for home usage I usually just set up Caddy as a reverse proxy with basic auth, as I'll be the only person using this and I don't want Cloudflare MITMing my personal stuff.

[1]: https://gitlab.com/stavros/harbormaster

Something like harbormaster? https://gitlab.com/stavros/harbormaster

Nomad also scales really well. In my experience swarm had a lot of issues with going above 10 machines in a cluster. Stuck containers, containers that are there but swarm can't see them and more. But still i loved using swarm with my 5 node arm cluster, it is a good place to start when you hit the limit of a single node.

> The only serious downsides is having to use the HCL DSL ( https://github.com/hashicorp/hcl ) and their web UI being read only in the last versions that i checked.

1. IIRC you can run jobs directly from UI now, but IMO this is kinda useless. Running a job is simple as 'nomad run jobspec.nomad'. You can also run a great alternative UI ( https://github.com/jippi/hashi-ui ).

2. IMO HCL > YAML for job definitions. I've used both extensively and HCL always felt much more human friendly. The way K8s uses YAML looks to me like stretching it to it's limits and barely readable at times with templates.

One thing that makes nomad a go-to for me is that it is able to run workloads pretty much anywhere. Linux, Windows, FreeBSD, OpenBSD, Illumos and ofc Mac.

Hashicorp Nomad combined with Hashi-ui (https://github.com/jippi/hashi-ui) comes relatively close, but is disqualified because it provides no support for easy to use provisioning. Azkaban comes relatively close, but seems not to have strong supoort for containers.