![]() I have hooked in to my setup, and found that I get a 405 method not allowed when hitting that endpoint. This example shows how to tunnel into a Kubernetes cluster using an SSH service running in a pod on the server. It seems that there is something missing in my setup? What version of jupyterhub are you using? I assume this here is the hub version, some how I don’t have that service. Kubernetes tunnel via openssh and sshuttle. Channel closed: 0, message='Attempt to decode JSON with unexpected mimetype: text/html', url=URL(' Accepted SSH client connection ![]() ![]() This can be done by creating a Kubernetes Service. Note: kubectl port-forward does not return. This approach makes it easy to modify Kubernetes manifest files. The SSH tunnel is encrypted, and the connection terminates on the public IP address that's attached to the jump box. The output is similar to this: Forwarding from 127.0.0.1:28015 -> 27017 Forwarding from ::1:28015 -> 27017. From your local machine, you can use SSH and the Visual Studio Code Remote - SSH extension to connect to a jump box that's in your virtual network. Expose the pod's SSH service to the network. kubectl port-forward allows using resource name, such as a pod name, to select a matching pod to port forward to. This typically involves installing and running an SSH daemon. Uncaught exceptionįile "/home/jovyan/.local/lib/python3.8/site-packages/asyncssh/connection.py", line 829, in _reap_taskįile "/srv/jupyterhub-ssh/jupyterhub_ssh/_init_.py", line 155, in _handle_clientĪsync with ClientSession() as client, Terminado(įile "/srv/jupyterhub-ssh/jupyterhub_ssh/terminado.py", line 22, in _aenter_įile "/home/jovyan/.local/lib/python3.8/site-packages/aiohttp/client_reqrep.py", line 1097, in jsonĪiohttp.client_exceptions.ContentTypeError: 0, message='Attempt to decode JSON with unexpected mimetype: text/html', url=URL(' Closing channel due to connection close To get SSH access to a Kubernetes (k8s) pod, you'll need to do the following: Make sure that the pod has an SSH server running inside it. It works by creating a proxy in between your local system and the Kubernetes system, allowing communication between your local machine and a specific pod. Error: asyncssh] Set write buffer limits: low-water=16384, high-water=65536 The port-forward command establishes a tunnel from the target resource to your localhost. Now I get another error though… I can see from the code that it is when it calls the following endpoint: It was the network policy that was creating this hickup.
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