This example provisions a Scale Set of Linux web servers with nginx deployed, configured the auto-scaling based on CPU load, puts a Load Balancer in front of them, and gives it a public IP address.

• Node.js
• Download and install the Pulumi CLI
• Connect Pulumi with your Azure account (if your az CLI is configured, no further changes are required)

1. Create a new stack:

   $ pulumi stack init dev

2. Configure the app deployment.

   $ pulumi config set azure:location westus    # any valid Azure region will do

   Optionally, configure the username and password for the admin user. Otherwise, they will be auto-generated.

   $ pulumi config set adminUser webmaster
   $ pulumi config set adminPassword <your-password> --secret

   Note that --secret ensures your password is encrypted safely.

3. Login to Azure CLI (you will be prompted to do this during deployment if you forget this step):

   $ az login

4. Create a Python virtualenv, activate it, and install dependencies:

   This installs the dependent packages needed for our Pulumi program.

   $ python3 -m venv venv
   $ source venv/bin/activate
   $ pip3 install -r requirements.txt

5. Run pulumi up to preview and deploy changes:

   $ pulumi up
   Previewing update:
   ...
   
   Updating:
   ...
   Resources:
       13 created
   Update duration: 2m19s

6. Check the domain name of the PIP:

   $ pulumi stack output publicAddress
   dsuv3vqbgi.westeurope.cloudapp.azure.com
   $ curl http:https://$(pulumi stack output publicAddress)
   #nginx welcome screen HTML is returned