Azure Bicep: Deployment and Infrastructure as Code


Whats up everybody! We’ve been on an thrilling journey exploring Azure Bicep. We’ve seen what it’s, and the way it compares to ARM templates, arrange our surroundings, dived into its syntax, and explored parameters, assets, variables, outputs, and modules. Right this moment, we’re going to take one other step ahead. We’ll discover one of many key parts of Azure Bicep – Deployment. So, let’s get began.

Logging in to Azure

Earlier than we begin, let’s guarantee we’re logged into Azure. Right here’s how you are able to do it.

  1. Open your terminal or command immediate: You should utilize any terminal or command immediate that you just’re snug with.
  2. Log in to Azure: Use the az login command to log in to Azure.
    # Log in to Azure
    az login
  3. Set your subscription: Use the az account set command to set your subscription.
    # Set your subscription
    az account set --subscription "YourSubscriptionName"

Azure Bicep Deployment

Deployment in Azure Bicep is the method of deploying your Bicep recordsdata to Azure. You’ll be able to deploy a Bicep file utilizing the az deployment group create command in Azure CLI.

Right here’s an instance of a Bicep file that may be deployed.

param storageAccountName string = 'mystorageaccount'

var location = 'westus'

useful resource storageAccount 'Microsoft.Storage/storageAccounts@2021-04-01' = {
  identify: storageAccountName
  location: location
  sku: {
    identify: 'Standard_LRS'
  form: 'StorageV2'

output storageAccountId string =

You’ll be able to deploy this Bicep file utilizing the next command.

# Deploy the Bicep file

az deployment group create --resource-group myResourceGroup --template-file ./important.bicep

On this instance, the az deployment group create command is used to deploy the Bicep file to the myResourceGroup useful resource group.


Nicely executed! You’ve simply realized how you can deploy Azure Bicep recordsdata. Deployment is a robust function that lets you deploy your infrastructure as code to Azure. In our subsequent session, we’ll discover greatest practices in Azure Bicep. So, keep tuned and continue learning.

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