PRODUCTS AND SUPPORT


How to get MUJEFA on GCP(Google Cloud Platform)


Previous Table of contents Next


This section describes how to launch and connect to MUJEFA in a Google Compute environment using the available Cloud Launcher offering.




  1. Open MUJEFA marketplace listing
  1. Click Launch.

/img/gcp/gcp_pythonmachinelearning_offer.png


  • Select a zone where you want to launch the VM(such as us-east1-)
  • Optionally change the number of cores and amount of memory. (This defaults to 2 vCPUs and 7.5 GB ram.)
  • Optionally change the boot disk type and size. (This defaults to "Standard Persistent Disk" and 15 GB respectively)
  • Optionally change the network name and subnetwork names. Be sure that whichever network you specify has ports 22 (for ssh), 3389 (for RDP) and 80 (for HTTP) exposed.
  • Click Deploy when you are done. Python AI & Machine learning Suit will begin deploying.

/img/gcp/gcp_pythonmachinelearning_launcher.png


  1. A summary page displays when the compute engine is successfully deployed. Click on the Instance link to go to the instance page .
  1. On the instance page, click on the "SSH" button, select "Open in browser window".

    2. /img/gcp/gcp_pythonmachinelearning_ssh_option.png

  2. This will open SSH window in a browser.
  3. Run below command to set the password for "ubuntu" user
    4. sudo passwd ubuntu

    /img/gcp/gcp_pythonmachinelearning_passwd.png

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

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

    6. /img/gcp/gcp_pythonmachinelearning_vm_details.png

  6. Then From you local windows machine, goto "start" menu , in the search box type and select "Remote desktop connection"

  7. In the "Remote Desktop connection" wizard, copy the external ip and click connect

    8. /img/gcp/gcprdp.png

  8. 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

    9. /img/gcp/xrdp.png

  9. Now you are connected to the out of box MUJEFA environment via Windows Machine..

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

  10. 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.

    11. /img/gcp/common/remmina-search.png
  11. In the "Remmina Remote Desktop Client" wizard, select the RDP option from dropdown and paste the external ip and click enter.

    12. /img/gcp/common/remmina-external-ip.png
  12. 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

    13. /img/gcp/common/remmina-rdp-login.png
  13. Now you are connected to the out of box MUJEFA environment via Linux machine.

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

  14. You can use the remote desktop you connected in above step for using the VM, however, more convenient and better method is to use the Jupyter/Ipython notebook which comes with the VM .
    The Notebook is available on the same public IP you used for remote desktop and accessible via any browser. Just open the browser and type the public IP address (in this case http:// 35.232.87.128 ) and you will get below screen for login . Use “ubuntu” as username and the password you set in step 8 to login.
    Note : Make sure you use “http” and not “https” in the url

    15. /img/gcp/gcp_pythonmachinelearning_notebook.png

    /img/gcp/gcp_pythonmachinelearning_jupyter_homepage.png

Previous Table of contents Next