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Setup and installation of 'Instant Kubernetes: K8 VM with Minikube, Kubectl & K8 Dashboard' on GCP



This section describes how to provision and connect to ‘Instant Kubernetes: K8 VM with Minikube, Kubectl & K8 Dashboard’ VM solution on GCP.

  1. Open Instant Kubernetes: K8 VM with Minikube, Kubectl & K8 Dashboard listing on GCP Marketplace
  2. Click Get Started.

/img/gcp/minikube/marketplace.png

It will ask you to enable the API’s if they are not enabled already for your account. Please click on enable as shown in the screenshot.

/img/gcp/nvidia-ubuntu/enable-api.png

  • It will take you to the agreement page. On this page, you can change the project from the project selector on top navigator bar as shown in the below screenshot.

  • Accept the Terms and agreements by ticking the checkbox and clicking on the AGREE button. /img/common/gcp_agreement_page.png

  • It will show you the successfully agreed popup page. Click on Deploy. /img/common/gcp_agreement_accept_page.png

  • On deployment page, give a name to your deployment.

  • In Deployment Service Account section, click on Existing radio button and Choose a service account from the Select a Service Account dropdown.
  • If you don't see any service account in dropdown, then change the radio button to New Account and create the new service account here.
  • If after selecting New Account option, you get below permission error message then please reach out to your GCP admin to create service account by following Step by step guide to create GCP Service Account and then refresh this deployment page once the service account is created, it should be available in the dropdown.

  • You are missing resourcemanager.projects.setIamPolicy permission, which is needed to set the required roles on the created Service Account
  • Select a zone where you want to launch the VM(such as us-east1-a)
  • Optionally change the number of cores and amount of memory. ( This defaults to 4 vCPUs and 15 GB RAM)
  • Optionally change the boot disk type and size. (This defaults to ‘Standard Persistent Disk’ and 30 GB respectively)
  • Optionally change the network name and subnetwork names. Be sure that whichever network you specify has ports 22 (for ssh) and 3389 (for RDP) exposed.
  • Click Deploy when you are done.
  • Instant Kubernetes: K8 VM with Minikube, Kubectl & K8 Dashboard will begin deploying.

/img/gcp/minikube/deployed-01.png

/img/gcp/minikube/deployed-02.png

  1. A summary page displays when the compute engine is successfully deployed. Click on the Instance link to go to the instance page .

  2. On the instance page, click on the “SSH” button, select “Open in browser window”.

/img/gcp/jupyter-python-notebook/ssh-option.png

  1. This will open SSH window in a browser.
  2. Run below command to set the password for “ubuntu” user
sudo passwd ubuntu

/img/gcp/jupyter-python-notebook/ssh-passwd.png

  1. Now the password for ubuntu user is set, you can connect to the VM’s desktop environment from any local windows machine using RDP or linux machine using Remmina.

  2. To connect using RDP via Windows machine, first note the external IP of the VM from VM details page as highlighted below

/img/gcp/jupyter-python-notebook/external-ip.png

  1. Then From your local windows machine, goto “start” menu, in the search box type and select “Remote desktop connection”

  2. In the “Remote Desktop connection” wizard, paste the external ip and click connect

/img/gcp/jupyter-python-notebook/rdp.png

  1. This will connect you to the VM’s desktop environment. Provide “ubuntu” as the userid and the password set in step 6 to authenticate. Click OK

/img/gcp/jupyter-python-notebook/rdp-login.png

  1. Now you are connected to out of box Instant Kubernetes: K8 VM with Minikube, Kubectl & K8 Dashboard VM’s desktop environment via Windows machines.

/img/azure/minikube/rdp-desktop.png

  1. To connect using RDP via Linux machine, first note the external IP of the VM from VM details page,then from your local Linux machine, goto menu, in the search box type and select “Remmina”.

    Note: If you don’t have Remmina installed on your Linux machine, first Install Remmina as per your linux distribution.

/img/gcp/common/remmina-search.png

  1. In the “Remmina Remote Desktop Client” wizard, select the RDP option from dropdown and paste the external ip and click enter.

/img/gcp/common/remmina-external-ip.png

  1. This will connect you to the VM’s desktop environment. Provide “ubuntu” as the userid and the password set in step 6 to authenticate. Click OK

/img/gcp/common/remmina-rdp-login.png

  1. Now you are connected to out of box Instant Kubernetes: K8 VM with Minikube, Kubectl & K8 Dashboard VM’s desktop environment via Linux machine.

/img/azure/minikube/rdp-desktop.png

  1. To open the Kubernetes Dashboard, open the Firefox Browser from desktop.

/img/azure/minikube/open-browser.png

  1. Once the browser is opened, you can see the Kubernetes Dashboard on home page.

/img/azure/minikube/kubernetes-dashboard.png

  1. If you see 502 Bad Gateway or ServiceUnavailable error messagein the browser when accessing kubernetes dashboard url then please wait 5-10 minutes as it takes some time to start dashboard and other services for the first time.

/img/azure/minikube/bad-gateway.png

  1. Navigate to https://localhost in the browser to display all the APIs and other available URLs. After hitting the https://localhost URL in the browser, it will show you the SSL warning message. Accept the security warning by clicking Advanced and then Accept the risk and continue button.

/img/azure/minikube/browser-warning.png

/img/azure/minikube/api.png

  1. The dashboard is accessible locally via RDP GUI interface. If you want to access the dashboard over internet , you need to open port 80 and 443 for the VM. This could be a security issue as the dashboard is not secured via userid/password and anyone with the VM IP address can access it. We highly recommended to access the dashboard locally via RDP GUI.

/img/azure/minikube/rdp-kubernetes-dashboard.png


For more details refer to Official Documentation

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