In this article, you use Terraform to create an Azure AI Foundry hub, a project, and AI services connection. A hub is a central place for data scientists and developers to collaborate on machine learning projects. It provides a shared, collaborative space to build, train, and deploy machine...
<resource_group_name>、<azurerm_mysql_flexible_server>和<mysql_flexible_server_database_name>的值会显示在terraform apply输出中。 还可以运行terraform output命令以查看这些值。 清理资源 不再需要通过 Terraform 创建的资源时,请执行以下步骤: 运行terraform plan并指定destroy标志。
Virtual Machine Scale Set from Packer image Database Hybrid + multicloud Management and Governance Mobile Networking Security Virtual Desktop Infrastructure Web Reference Resources Learn Azure Developer Terraform Save Share via Facebookx.comLinkedInEmail ...
If your AI Foundry resources was created using Azure CLI, PowerShell, Bicep template, Terraform, or SDKs. In those cases, the AI Foundry resource by default isn't associated with a project. You can create a project later as a child resource. If your AI Foundry resource was ...
1.Login to Azure portal and then accesshttps://shell.azure.com/. Azure Cloud shell – bash 2. Create terraform deployment file for Linux like below. Assumptions: Deploying in to existing resource group, existing vnet, subnet provider "azurerm" { ...
terraform { required_version = ">= 1.0" required_providers { azurerm = { source = "hashicorp/azurerm" version = ">= 3.0, < 4.0" } } } provider "azurerm" { features = {} } # Azure Resource Group where to create Cosmos DB Account ...
instead of an Azure Resource Manager (ARM) or Bicep template like in the original sampleTutorial: Deploy a Dapr application to Azure Container Apps with an Azure Resource Manager or Bicep template.You can find the code of this sample, along with Terraform modules, u...
When defining adatareference of theazurerm_iothub_shared_access_policyresource type in Terraform, there are three properties that need to be set to target the desired, existing Shared Access Policy: name– The Name of the Azure IoT Hub Shared Access Policy. ...
Azure-weka deployment Terraform package The Weka cluster on Azure provides a fast and scalable platform to run, for example, performance-intensive applications and hybrid cloud workflows. It can also be used for object stores, tiering, and snapshots using the Azure Blob service. The provided Azure...
customers advanced language AI with OpenAI GPT-4, GPT-3, Codex, and DALL-E models with Azure's security and enterprise promise. Azure OpenAI co-develops the APIs with OpenAI, ensuring compatibility and a smooth transition from one to the other. The Terraform module...