swarmpit VS harbormaster

So I need to setup prometheus, granfana, node exporter, and cadvisor before running this? All of the above give me everything I need to monitor a swarmcluster. And if I want multi-user access to the graphs, I’d configure auth in Grafana.

Further, if I were to monitor Swarm without the Prom+Grafana stack, I’d be looking at:

https://github.com/swarmpit/swarmpit

What is the value-add of Storm?

And then also look at Swarmpit https://github.com/swarmpit/swarmpit. It was last updated Aug 28, 2020 as well, so I don't know how active it is, but I also used it for a while before sticking with Portainer ultimately.

Kubernetes is a bit overkill. For my homegrown usage i use docker swarm. And use https://swarmpit.io to manage it

Specific to swarm but it might help soneone in a way https://github.com/swarmpit/swarmpit

> There is gap in the market between VM oriented simple deployments and kubernetes based setup.

In my experience, there are actually two platforms that do this pretty well.

First, there's Docker Swarm ( https://docs.docker.com/engine/swarm/ ) - it comes preinstalled with Docker, can handle either single machine deployments or clusters, even multi-master deployments. Furthermore, it just adds a few values to Docker Compose YAML format ( https://docs.docker.com/compose/compose-file/compose-file-v3... ) , so it's incredibly easy to launch containers with it. And there are lovely web interfaces, such as Portainer ( https://www.portainer.io/ ) or Swarmpit ( https://swarmpit.io/ ) for simpler management.

Secondly, there's also Hashicorp Nomad ( https://www.nomadproject.io/ ) - it's a single executable package, which allows similar setups to Docker Swarm, integrates nicely with service meshes like Consul ( https://www.consul.io/ ), and also allows non-containerized deployments to be managed, such as Java applications and others ( https://www.nomadproject.io/docs/drivers ). 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.

There are also some other tools, like CapRover ( https://caprover.com/ ) available, but many of those use Docker Swarm under the hood and i personally haven't used them. Of course, if you still want Kubernetes but implemented in a slightly simpler way, then there's also the Rancher K3s project ( https://k3s.io/ ) which packages the core of Kubernetes into a smaller executable and uses SQLite by default for storage, if i recall correctly. I've used it briefly and the resource usage was indeed far more reasonable than that of full Kubernetes clusters (like RKE).

I believer Portainer and Swarmpit would have this capabilties https://www.portainer.io/ https://github.com/swarmpit/swarmpit

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 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