Connect to your Kubeflow Dashboard

Start experimenting and running your end-to-end ML workflows with Kubeflow on AWS

Port-forward (Manifest deployment)

Option 1: Amazon EC2

Run the following command on your EC2 instance:

make port-forward

Then, on your local machine, run the following:

ssh -i <path-to-your-key-pem> -L 8080:localhost:8080 -N ubuntu@ec2-<Public-IPv4-DNS> -o ExitOnForwardFailure=yes

You can then open the browser and go to http://localhost:8080/.

Option 2: Docker

Run the following command:

make port-forward IP_ADDRESS=

You can then open the browser and go to http://localhost:8080/.

Option 3: AWS Cloud9

Connect to your Kubeflow dashboard with a single command:

make port-forward

Then, open the AWS Cloud9 browser and go to http://localhost:8080/.

Port-forward (Terraform deployment)

  1. Update the kubeconfig:

    $(terraform output -raw configure_kubectl)
  2. Choose your port forward option

Open the browser

You can then open the browser and go to http://localhost:8080/.

Log into the Kubeflow UI

Use the following default credentials to log into the Kubeflow UI:

Note: If you changed the default password using the steps in Change the default user password, then use the password that you created.

Congratulations! 🎉 Your Kubeflow on AWS setup is complete

Exposing Kubeflow over Load Balancer (Optional)

In order to expose Kubeflow over an external address, you can set up AWS Application Load Balancer. Please take a look at the Load Balancer guide to set it up.

Change the default user password (Kustomize)

For security reasons, we do not recommend using the default password for the default Kubeflow user when installing in security-sensitive environments.

Define your own password before deploying. To define a password for the default user:

  1. Pick a password for the default user, with email, and hash it using bcrypt:

    python3 -c 'from passlib.hash import bcrypt; import getpass; print(bcrypt.using(rounds=12, ident="2y").hash(getpass.getpass()))'
  2. Edit upstream/common/dex/base/config-map.yaml and fill the relevant field with the hash of the password you chose:

      - email:
        hash: <enter the generated hash here>