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Updating Project SSH Metadata failed gcloud

by | Dec 22, 2023

Learn more about updating Project SSH Metadata failed gcloud. Our Google Cloud Platform Support team is here to help you with your questions and concerns.

Updating Project SSH Metadata failed gcloud

Connecting to virtual machines on the Google Cloud Platform (GCP) via SSH can sometimes be challenging.

Updating Project SSH Metadata failed gcloud

Today, we are going to address common issues users face and explore solutions to fix the issue.

SSH Challenges and Solutions

  1. Metadata-Based SSH Key Configurations

    When SSHing into a VM using `gcloud compute ssh`, we are likely to run into issues while updating project-wide metadata. According to our experts, we can solve this by enabling OS Login for users, including admins.

    However, this will disable metadata-based SSH key configurations on instances. To start, stop, and connect via SSH, our experts recommend `roles/compute.instanceAdmin` so that we can choose one that suits our needs.

  2. Simplifying SSH Connection:

    Creating a config file under `~/.ssh` with specific settings can simplify your SSH connections. We have to add the following to the config file:

    Host nickname
    HostName $IP_OF_INSTANCE
    Port 22
    User $USER
    CheckHostIP no
    StrictHostKeyChecking no
    IdentityFile ~/.ssh/google_compute_engine

    Now, SSH using `ssh nickname`.

Notebook Instance SSH Challenges and Solutions

  1. Permission Errors:

    Errors like “Updating project ssh metadata…failed” pop up when we try to SSH into a Notebook instance with a custom service account. We can solve this by adding the `Service Account User` role. When Vertex AI runs, it acts with the permissions of service accounts that Google creates and manages for our GCP.

  2. Custom Service Account Setup:

    We can set up a custom service account with these steps:

    1. To begin with, create a user-managed service account.
    2. Then, grant IAM roles to offer access to required Google Cloud services.
    3. We can configure the service account for attachment to training jobs optionally.
    4. Next, we must grant the `Service Account Admin` role to the Vertex AI Service Agent.
  3. IAP-Secured Tunnel User Role:

    To manage project-level and higher access, we have to add the IAP-secured Tunnel User role to the custom service account. IAP permits configuring access policies for individual resources.

  4. Turning IAP On and Off:

    Finally, we have to make sure we have the necessary permissions to turn IAP on and off. App Engine, Compute Engine, or Cloud Run may need specific roles for this purpose.

[Need assistance with a different issue? Our team is available 24/7.]

Conclusion

Today, our Support Engineers introduced us to updating Project SSH Metadata failed gcloud.

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