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How to get MUJEFA on Alibaba Cloud

This section describes how to launch and connect to MUJEFA on Alibaba Cloud environment.

  1. Go to “MUJEFA” offer listing on Alibaba Cloud Marketplace .

/img/alibaba/python-ai-ml-kit/marketplace.png

  1. Click on Choose Your Plan button.

/img/alibaba/desktop-linux/ChooseYourPlan.png

You will be redirected to Basic Configurations Page.

Select the Billing Method, Region and Zone where you want to launch the VM(such as Singapore, Zone A)

/img/alibaba/desktop-linux/BillingandRegion.png

Optionally change the number of cores and amount of memory.

/img/alibaba/desktop-linux/InstanceType.png

Optionally change the Sytem Disk and size.

/img/alibaba/desktop-linux/Storage.png

On Networking tab, Optionally change the VPC, Bandwidth Billing and Bandwidth Options.

Select the Security Group.Be sure that whichever Security Group you specify has ports 22 (for ssh), 80 (for http) and 3389 (for RDP) exposed.

/img/alibaba/python-ai-ml-kit/SG.png

On System Configurations tab, Select Logon Credentials as Password and enter the password.

/img/alibaba/desktop-linux/LogonCredentials.png

On Grouping tab, Optionally change the Resource Group and other settings.

Click Preview and Create Instance when you are done.

MUJEFA will begin deploying.

  1. To SSH the VM, first note the public IP address of the instance as highlighted below.

/img/alibaba/python-ai-ml-kit/publicip.png

  1. Open putty, enter the public IP here and hit Open.

/img/alibaba/desktop-linux/putty.png

  1. This will open SSH window. Login as root and enter the password set during the VM creation
  2. Now set the password for ubuntu user. Run below command to set the password for “ubuntu” user
sudo passwd ubuntu

/img/alibaba/desktop-linux/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 Public IP of the VM

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

  4. In the “Remote Desktop connection” wizard, paste the Public IP and click connect

/img/alibaba/desktop-linux/rdp.png

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

/img/alibaba/desktop-linux/rdp-login.png

  1. Now you are connected to out of box MUJEFA environment via Windows machines.

/img/alibaba/python-ai-ml-kit/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, firstInstall 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 MUJEFA environment via Linux machine.

/img/alibaba/python-ai-ml-kit/rdp-desktop.png

/img/alibaba/python-ai-ml-kit/ssh-passwd.png

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 (e.g http:// 35.232.87.128 ) and you will get below screen for login . Use ubuntu as username and the password you set in step 6 to login.

Note: Make sure you use “http” and not “https” in the url

/img/gcp/gcp_pythonmachinelearning_notebook.png

/img/gcp/gcp_pythonmachinelearning_jupyter_homepage.png

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