Deploying my azure server with terraform

karleeov - Mar 10 - - Dev Community

Deploying infrastructure as code (IaC) to the cloud has revolutionized the way developers provision and manage their IT resources. Terraform, with its declarative configuration files, offers a powerful, efficient, and scalable way to manage cloud resources, including services in Microsoft Azure. In this blog post, authored by Karl Li, we'll walk through the deployment of a server infrastructure on Azure using Terraform, showcasing the ease with which developers can automate their cloud deployments and promote best practices within the Azure ecosystem.

  1. Setting the Stage with Azure Provider Firstly, to interact with Azure resources, we specify the AzureRM provider in Terraform. This is essential for Terraform to authenticate and execute operations within your Azure subscription. The provider block does not require explicit credentials here, as it can automatically inherit authentication from the Azure CLI or environment variables, emphasizing security and simplicity in our setup.
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provider "azurerm" {
  features {}
}```


2. Crafting the Foundation with a Resource Group
Every Azure resource needs a home, known as a Resource Group. It's a logical container for related resources. Creating one is straightforward with Terraform. We define a azurerm_resource_group resource, specifying its name and location, which are fundamental properties that guide the geographical placement of your resources, optimizing for latency and legal requirements.


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resource "azurerm_resource_group" "rg" {
name = "exampleweb-rg"
location = var.location
}```

  1. Provisioning a MySQL Server Next, we deploy a MySQL server, a critical component for many applications for storing relational data. In this configuration, we specify various properties such as the server name, location, and the SKU, which determines the pricing tier and performance characteristics. This demonstrates Terraform's capability to manage complex, configurable resources in a cloud environment efficiently.

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resource "azurerm_mysql_server" "mysql" {
  name                = "exampleweb-mysql"
  location            = var.location
  resource_group_name = azurerm_resource_group.rg.name
  ...
}
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  1. Creating a MySQL Database With our server in place, we then create a MySQL database. This step shows how Terraform allows for managing nested resources and dependencies smoothly, ensuring our database is correctly associated with our previously created MySQL server.
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resource "azurerm_mysql_database" "db" {
  name                = "examplewebdb"
  ...
}
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  1. Establishing a Web App Service Plan Before deploying our web application, we need a service plan, defining the compute resources available to our app. This configuration is a testament to Azure and Terraform's flexibility, supporting various compute options to suit different needs and budgets.

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resource "azurerm_app_service_plan" "plan" {
  ...
}
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  1. Launching the Web App Finally, we deploy the web app itself. Here, the configuration highlights how Terraform manages both the infrastructure and runtime environment, from enabling HTTPS to setting the PHP version, underscoring the platform's comprehensive control over cloud resources.

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resource "azurerm_app_service" "app" {
  ...
}
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Conclusion
This deployment strategy exemplifies the power of Terraform in orchestrating cloud resources with precision and efficiency. By leveraging Infrastructure as Code, developers can ensure their environments are reproducible, version-controlled, and easily managed. As Azure continues to evolve, adopting tools like Terraform not only simplifies infrastructure management but also aligns with best practices in cloud computing, enabling developers to focus on what they do best: building great applications.

Remember, the field of cloud computing is constantly advancing, and tools like Terraform are regularly updated to offer new features and improvements. It's crucial to stay informed about these developments to make the most of your cloud resources and maintain efficient, secure, and cost-effective operations.

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