In a production environment one would probably deploy using something like Fargate, Kubernetes or Fly.io.
Docker swarm mode is pretty good and terribly easy to get up and running in no time.
I have a few small personal projects hosted on Herzner on a couple of Docker swarm mode deployments with 100% uptime in the past two years, and all it took to get that infra up and running is installing Docker on a bare Linux node.
The only downside I'm aware is that inter-node traffic speeds can be relatively low.
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.