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Installation in Azure

Easily install Giskard in Azure
Installing Giskard in Azure enables you to inspect & test models that you created in the Microsoft Azure environment (ex: Azure Machine Learning, Synapse Analytics, etc.). Here are the 3 steps to install Giskard in a new VM instance in Azure:

1. Create a Giskard VM Instance in Azure

  1. 1.
    Select "Create a resource" and choose Virtual Machine
  2. 2.
    In the configuration of your VM, select the default configuration:
    1. 1.
      Choose a Linux machine. For instance, it can be the default Ubuntu server 20.04 LTS
    2. 2.
      We recommend you choose at least the Standard_D2s machine (2vCPU, 8GB memory)
    3. 3.
      Enable the default SSH connection by selecting Inbound ports: SSH (22)
  3. 3.
    Create your VM instance. Make sure you downloaded the certificate file containing the private key you will need to SSH
  4. 4.
    On the home page, select the VM you just created by selecting Go to Resource
  5. 5.
    Go to Settings, Networking, and click on Add inbound port rule with the following properties:
  6. 6.
    Connect to your VM in SSH by using the path of the private key file you downloaded. To do so, go to the tab Overview, select Connect and SSH then follow the different steps to get the right command to execute in your terminal.
For example, the terminal command line to SSH connect to your install from your computer can be:
sudo ssh -i /Users/bob/Downloads/Giskard2_key.cer [email protected]
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2. Install Giskard in the VM

  • Installation of the Giskard requirements (git and docker)
sudo apt install git
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
  • Installation of Giskard
git clone https://github.com/Giskard-AI/giskard.git
cd giskard
sudo docker compose up -d --force-recreate --no-build

3. Connect to your instance and start uploading ML model

  • Get the Public IP address of your Giskard VM by clicking on the Overview tab
  • Go to http://<your IP address>:19000 in your web browser
You can stop the instance and restart it when you need to save your Azure compute costs. However, note that
  • the IP address will not necessarily be the same. So make sure you copy it again when it's launched.
  • you will need to re-run docker, by executing in the Giskard folder:
sudo docker compose up -d --force-recreate
  • The user id is admin and the password is admin
That's it, you are now ready to use Giskard in Azure! Now you can start uploading a model!
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Last modified 14d ago