[atmosx]

I've worked with docker swarm extensively. I've managed it but also automated the deployment and implemented several features to ease deployment using the swarm API.

Swarm pros:

- Easy to setup

- Easy to run

- Relatively easy to debug

Swarm cons:

- Many problems persist for years. Some because of lack of resources, others because the problem is simply too hard.

- The community and automation around swarm is small

- Problems solved by third party tools, apps, etc. in kubernetes require in-house workarounds or solutions (e.g. there was an API to perform autoscaling, but we had to write the python app that will read data from prometheus and scale-in/out the deployment)

What I found it with Swarm is that it was extremely resilient. At some point the swarm cluster was running on AWS for ~2 years with minimal maintenance. That would have been impossible even for a managed EKS cluster for example. There are simply too many things that can go wrong.