labs VS swarmpit

Docker: Get Started (https://docs.docker.com/get-started/) Docker Labs (https://github.com/docker/labs)

You can find some intro and tutorials to catch up on docker https://github.com/docker/labs

These JSON profiles can use quite a few options and can become very complex, so the one above is really trimmed it down to bare minimum. To see how real profile would look like you can check out Dockers profile here.

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