Is it possible, using the docker SDK for Python, to launch a container in a remote machine?
import docker
client = docker.from_env()
client.containers.run("bfirsh/reticulate-splines", detach=True)
# I'd like to run this container ^^^ in a machine that I have ssh access to.
Going through the documentation it seems like this type of management is out of scope for said SDK, so searching online I got hints that the kubernetes client for Python could be of help, but don't know where to begin.
It's not clearly documented by Docker SDK for Python, but you can use SSH to connect to Docker daemon by specifying host with ssh://[user]@[host] format, for example:
import docker
# Create a client connecting to Docker daemon via SSH
client = docker.DockerClient(base_url="ssh://username@your_host")
It's also possible to set environment variable DOCKER_HOST=ssh://username@your_host and use the example your provided which use current environment to create client, for example:
import docker
import os
os.environ["DOCKER_HOST"] = "ssh://username@your_host"
# Or use `export DOCKER_HOST=ssh://username@your_host` before running Python
client = docker.from_env()
Note: as specified in the question, this is considering you have SSH access to target host. You can test with
ssh username@your_host
It's possible, simply do this:
client = docker.DockerClient(base_url=your_remote_docker_url)
Here's the document I found related to this:
https://docker-py.readthedocs.io/en/stable/client.html#client-reference
If you only have SSH access to it, there is an use_ssh_client option
If you have a k8s cluster, you do not need the Python sdk. You only need the cmd line tool kubectl.
Once you have it installed, you can create a deployment that will deploy your image.