![]() $ kubectl version -short -insecure-skip-tls-verify NOTE - skipping TLS verification is NOT recommended for security reasons. To verify the setup is working, you can skip tls verifiction with -insecure-skip-tls-verify. Unable to connect to the server: x509: certificate is valid for ***, not 127.0.0.1 If you run the kubectl commands now, you will still encounter ssl certificate error - $ kubectl version -short Generate kube config - gcloud container clusters get-credentials $CLUSTER_NAME įinally, update the server section in ~/.kube/config as follows. Calls to localhost on port 8443 will be redirected to the GKE api server. You have now created an ssh tunnel from your laptop to bastion host. On your laptop - gcloud compute ssh bastion -zone $ZONE -ssh-flag="-L 8443:localhost:8443" Redir -laddr=0.0.0.0 -lport=8443 -caddr=172.16.0.32 -cport=443 -l debugĪbove command will redirect requests on bastion port of 8443 to GKE master node (172.16.0.3) - feel free to change this based on your setup. On bastion host - sudo apt-get update & sudo apt-get install redir -y I am assuming here you are using a private cluster - both nodes and master api server are in private network. This will forward requests hitting bastion port to be redirected to the GKE master IP address. But since this doesn't seem to be your preference, let me give a long answer to how you can accomplish this with a jump host.įirst, you will need a port redirector program on the bastion host. You can write a script which gets your laptop external IP and adds it to GKE's master authorized network list and use the same script to remove the IP once done. But behind the scene, i am authenticating with the bastion host from my local dev CLI (using my glcoud auth credentails) and invoking kubectl commands from there securely.Īdding your IP to the Master authorized network would be easier. ![]() That way, for the GKE cluster, it is receiving kubectl commands from the bastion host (which is already allowlisted in its Master authorized networks). ![]() Is there a way to assign a port number in the bastion-host that can be used to invoke kubectl commands to the remote GKE cluster securely? And then, i can just use the gcloud compute start-iap-tunnel command (which BTW takes care of all permission issues using Cloud IAM) from my local dev CLI to establish a ssh-tunnel to that specific port number in the bastion host. Every time i take my laptop somewhere new, i have to update the allowlist my new IP from there before i can run the gcloud container clusters get-credentials command before running kubectl commands. I am looking for a way to avoid having to allowlist my local development machine IP. Then i can run the gcloud container clusters get-credentials first and then run kubectl commands like usual. In order to do that, I can add my local development machine IP as an allowlisted entry into my GKE's Master authorized networks, and that should be it. I want to be able to run kubectl commands to my GKE cluster directly from my local development CLI. Hence, in order to run kubectl commands to my GKE, I first need to SSH into my bastion host by running the gcloud beta compute ssh command then I run the gcloud container clusters get-credentials command to authenticate with GKE, then from there I can run kubectl commands like usual. I have allowlisted my bastion host's IP in the GKE cluster's Master authorized networks section. I have a bastion host (Compute Engine VM Instance) in GCP. I have hooked in to my setup, and found that I get a 405 method not allowed when hitting that endpoint.I have a GKE/kubernetes/k8s cluster in GCP. 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. Channel closed: 0, message='Attempt to decode JSON with unexpected mimetype: text/html', url=URL(' Accepted SSH client connection 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 Error: asyncssh] Set write buffer limits: low-water=16384, high-water=65536 ![]() 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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