2/28/2024 0 Comments Gcloud ssh tunnel![]() We would be very interested to hear from Google or from the community how we can accomplish this. I've seen it done in many organizations (with plain Kubernetes that is). I think that what we are looking for is not very exceptional. ![]() We then get the error that the certificate is only valid for the controlPlaneVIP (and that one other IP address), but not for 127.0.0.1. When running the ssh command to open the tunnel we route 127.0.0.1:7443 to the jumpbox and from there to the Kubernetes API Server (controlPlaneVIP). This certificate only validates against the controlPlaneVIP for the admin cluster and the user cluster (I hope I'm saying this part right :-)). This results in a kubeconfig being generated containing a certificate and a JWT token (among other things). We get redirected to Azure AD where we log in. We log in using gcloud anthos auth login -login-config -cluster. Ok, so I have had a crash course Google Anthos from one of our Engineers and we got part of it working, but it would require end users to add a line to their "hosts" file, which is not the user experience we want to provide (if it is allowed by policy at all). And I'm wondering if we can also configure TinyProxy on our own server and transparently tunnel through that? On GCE there is this "tunnel" method as described here: Set up an SSH tunnel for private browsing using Compute Engine | Google Cloud Platform Community , but for Google Anthos this is not the case.ĭoes the solution you describe also work with a jumpbox on-premises? The article now describes how to do this with a GCE bastion. I was looking at the solution described here: , but we are concerned that gcloud will overwrite the changes made to the kubeconfig. This breaks their workflow, especially on the Development cluster. IT Security policies require that developer need to log in to a terminal server (or jumpbox or bastion) that resides in Network "A" first before they are allowed to interact with the Kubernetes cluster. In optional settings enable ssh tunnel, select your tunnel and press add tunnel.We have a Kubernetes cluster created on-premises (with Google Anthos) in Network "A" and our development teams reside in Network "B". Now enter the details of your database, for the host put localhost and port 3306 You should have this, press test and request fingerprintĭont press add connection as it redirects to the old UIīut click on the connection menu and press add connection + To learn more, see the IAP for TCP forwarding. When the Cloud SQL Auth Proxy starts successfully, a message similar to the following appears in the SSH window: Listening on 127.0.0.1:3306 for myInstanceįor the ip address, you select the public ip address of your vm instance: tunnel-through-iap, Tunnel the ssh connection through Cloud Identity-Aware Proxy for TCP forwarding. cloud-sql-proxy -private-ip projectID:region:instanceID Now, on your cloud SQL instance, get the instance connection name which should have the format projectID:region:instanceIDĪnd back into the command line, type the following and replace the connection_name with yours. We need to Edit your sshd_config file: Sudo nano /etc/ssh/sshd_configĪnd add the following at the end of the file HostKeyAlgorithms +ssh-rsa We now need to add the ssh-rsa to your server's list of accepted algorithms. Then type exit to go back to your user Exit Then press f2 to save and confirm pressing Y, a nd press enter to confirm Now copy the key you downloaded from your looker instance. ![]() Go back to the command line and edit the authortized_keys by entering the following command: Nano authorized_keys Press download key, o pen file and copy the content. Now, in your looker instance, In the Connections page in the Admin section of Looker, select the SSH Server tab. Set permissions: chmod 600 authorized_keys Switch to the looker user: sudo su - lookerĬreate the authorized_keys file: touch authorized_keys Now create a group called looker : sudo groupadd lookerĬreate user looker and its home directory: sudo useradd -m -g looker looker Make the Cloud SQL Auth Proxy executable: chmod +x cloud-sql-proxy Now next to the ssh button below connect, press open in browser windowĭownload the Cloud SQL Auth Proxy: curl -o cloud-sql-proxy Then in identity and api access, select allow full access to all cloud api ![]() In machine type, press preset and select shared-core and e2-micro Select the region closest to your database, select E2 In your console, on in compute engine and press create instance: the sources are the Looker SSH tunnel doc and some google cloud SQL doc Sometimes, you need to connect Looker to your database but you are not a data engineer, so it is handy to have a guided step by step.
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