Use this command to install Microsoft Azure Export for Terraform:
winget install --id=Microsoft.Azure.AztfExport -e
Microsoft Azure Export for Terraform imports the resources that are supported by the Terraform AzureRM provider into the Terraform state, and generates the corresponding Terraform configuration.
Both the Terraform state and configuration are expected to be consistent with the resources' remote state, i.e., terraform plan shows no diff.
The user then is able to use Terraform to manage these resources.
Microsoft Azure Export for Terraform
Microsoft Azure Export for Terraform is a tool designed to import existing Azure resources into the Terraform state and generate corresponding configuration files. This facilitates seamless infrastructure management using Terraform, ensuring consistency with the remote state.
Key Features:
Azure Resource Import: Imports supported Azure resources into Terraform's state.
State Consistency: Ensures that the generated configuration matches the remote state, resulting in a terraform plan with no differences.
Seamless Integration: Facilitates ongoing management of resources using Terraform.
Audience & Benefit:
Ideal for DevOps engineers, cloud architects, and IT teams utilizing Azure and Terraform. This tool enables infrastructure as code practices, reduces manual errors, and enhances collaboration by providing a consistent foundation for Terraform operations. It can be installed via winget.
README
Microsoft Azure Export for Terraform
A tool to bring your existing Azure resources under the management of Terraform.
Video (v0.12.0)
Goal
Azure Export for Terraform exports supported resources into Terraform state and generate the corresponding Terraform configuration. Both the Terraform state and configuration are expected to be consistent with the resources' remote state, i.e., terraform plan shows no diff. The user then is able to use Terraform to manage these resources.
The Terraform configurations generated by aztfexport are not meant to be comprehensive and do not ensure that the infrastructure can be fully reproduced from said generated configurations. For details, please see limitations).
Install
From Release
Precompiled binaries and Window MSI are available at Releases.
The Azure command-line interface (Azure CLI) is a set of commands used to create and manage Azure resources. The Azure CLI is available across Azure services and is designed to get you working quickly with Azure, with an emphasis on automation.
A developer CLI that accelerates the time it takes for you to get started on Azure. The Azure Developer CLI (azd) provides a set of developer-friendly commands that map to key stages in your workflow - code, build, deploy, monitor, repeat.
AI Shell is a CLI tool that brings the power of artificial intelligence directly to your command line! Designed to help you get command assistance from various AI assistants, AI Shell is a versatile tool to help you become more productive in the command line. We call these various AI assistant providers agents. You can use agents to interact with different generative AI models or other AI/ML/assistant providers in a conversational manner.
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions.
The key features of Terraform are:
- Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.
- Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.
- Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.
- Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors.
The Azure command-line interface (Azure CLI) is a set of commands used to create and manage Azure resources. The Azure CLI is available across Azure services and is designed to get you working quickly with Azure, with an emphasis on automation.
A developer CLI that accelerates the time it takes for you to get started on Azure. The Azure Developer CLI (azd) provides a set of developer-friendly commands that map to key stages in your workflow - code, build, deploy, monitor, repeat.
AI Shell is a CLI tool that brings the power of artificial intelligence directly to your command line! Designed to help you get command assistance from various AI assistants, AI Shell is a versatile tool to help you become more productive in the command line. We call these various AI assistant providers agents. You can use agents to interact with different generative AI models or other AI/ML/assistant providers in a conversational manner.
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions.
The key features of Terraform are:
- Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.
- Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.
- Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.
- Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors.
ver=20.04 # or 22.04
apt-add-repository https://packages.microsoft.com/ubuntu/${ver}/prod
Install:
apt-get install aztfexport
AUR (Linux)
yay -S aztfexport
Prerequisites
aztfexport requires a terraform executable installed in the $PATH with version >= v0.12.
How it Works
aztfexport leverages aztft to identify the Terraform resource type corresponding to an Azure resource ID. Then it runs terraform import under the hood to import each resource. Afterwards, it runs tfadd to generate the Terraform HCL code for each imported resource.
aztfexport will create a configuration file at $HOME/.aztfexport/config.json. This file is aim to be managed by command aztfexport config [subcommand], which includes following subcommands:
get: Get a config item
set: Set a config item
show: Show the full configuration
Currently, the following config items are supported:
installation_id: A UUID created on first run. If there is Azure CLI or Azure Powershell installed on the current machine, the UUID will be the same value among these tools. Otherwise, a new one will be created. This is used as an identifier in the telemetry trace.
telemetry_enabled: Enables telemetry. We use telemetry to identify issues and areas for improvement, in order to optimize this tool for better performance, reliability, and user experience. If you wish to disable our telemetry, set this to false.
Limitations
Visit this page on the Azure Export for Terraform documentation that discusses the currently known limitations of the tool.
Additional Resources
The aztfexport Github Page: Everything about aztfexport, including comparisons with other existing import solutions.
aztft: A Go program and library for identifying the correct Terraform AzureRM provider resource type on the Azure resource id.
tfadd: A Go program and library for generating Terraform configuration from Terraform state.
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Bicep code is transpiled to standard ARM Template JSON files, which effectively treats the ARM Template as an Intermediate Language (IL).
Bicep is a Domain Specific Language (DSL) for deploying Azure resources declaratively. It aims to drastically simplify the authoring experience with a cleaner syntax, improved type safety, and better support for modularity and code re-use. Bicep is a transparent abstraction over ARM and ARM templates, which means anything that can be done in an ARM Template can be done in Bicep (outside of temporary known limitations). All resource types, apiVersions, and properties that are valid in an ARM template are equally valid in Bicep on day one (Note: even if Bicep warns that type information is not available for a resource, it can still be deployed).
Bicep code is transpiled to standard ARM Template JSON files, which effectively treats the ARM Template as an Intermediate Language (IL).
The Azure Cosmos DB emulator provides a local environment that emulates the Azure Cosmos DB service designed for development purposes. Using the emulator, you can develop and test your application locally, without creating an Azure subscription or incurring any service costs. When you're satisfied with how your application is working with the emulator, you can transition to using an Azure Cosmos DB account with minimal friction.
The Azure Cosmos DB emulator provides a local environment that emulates the Azure Cosmos DB service designed for development purposes. Using the emulator, you can develop and test your application locally, without creating an Azure subscription or incurring any service costs. When you're satisfied with how your application is working with the emulator, you can transition to using an Azure Cosmos DB account with minimal friction.
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
sops is an editor of encrypted files that supports YAML, JSON, ENV, INI and BINARY formats and encrypts with AWS KMS, GCP KMS, Azure Key Vault, age, and PGP.
sops is an editor of encrypted files that supports YAML, JSON, ENV, INI and BINARY formats and encrypts with AWS KMS, GCP KMS, Azure Key Vault, age, and PGP.
AzCopy v10 is a command-line utility that you can use to copy data to and from containers and file shares in Azure Storage accounts.
AzCopy V10 presents easy-to-use commands that are optimized for high performance and throughput.
AzCopy v10 is a command-line utility that you can use to copy data to and from containers and file shares in Azure Storage accounts.
AzCopy V10 presents easy-to-use commands that are optimized for high performance and throughput.
Coder is an open source platform for creating and managing developer workspaces on your preferred clouds and servers. By building on top of common development interfaces (SSH) and infrastructure tools (Terraform), Coder aims to make the process of provisioning and accessing remote workspaces approachable for organizations of various sizes and stages of cloud-native maturity.
Coder is an open source platform for creating and managing developer workspaces on your preferred clouds and servers. By building on top of common development interfaces (SSH) and infrastructure tools (Terraform), Coder aims to make the process of provisioning and accessing remote workspaces approachable for organizations of various sizes and stages of cloud-native maturity.
Azure Terrafy imports the resources that are supported by the Terraform AzureRM provider into the Terraform state, and generates the corresponding Terraform configuration.
Both the Terraform state and configuration are expected to be consistent with the resources' remote state, i.e., terraform plan shows no diff.
The user then is able to use Terraform to manage these resources.
Azure Terrafy imports the resources that are supported by the Terraform AzureRM provider into the Terraform state, and generates the corresponding Terraform configuration.
Both the Terraform state and configuration are expected to be consistent with the resources' remote state, i.e., terraform plan shows no diff.
The user then is able to use Terraform to manage these resources.
Azure Terrafy imports the resources that are supported by the Terraform AzureRM provider into the Terraform state, and generates the corresponding Terraform configuration.
Both the Terraform state and configuration are expected to be consistent with the resources' remote state, i.e., terraform plan shows no diff.
The user then is able to use Terraform to manage these resources.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool that is packed with powerful features to make your monitoring effective as possible. Monitored servers include MySQL, MariaDB, PostgreSQL and SQL Server, and compatible with cloud databases like Amazon RDS, Amazon Aurora, Oracle Cloud, Google Cloud and Microsoft Azure.
Navicat Monitor is a server-based software which can be accessed from anywhere via a web browser. With web access, you can easily and seamlessly keep track of your servers around the world, around the clock.
Navicat Monitor includes a rich set of real-time and historical graphs that allow you to drill down into server statistic details. It gives you a detailed view of each server load and performance regarding its availability, disk usage, network I/O, table locks and more, which allows you to easily track the deviations and traffic among servers, as well as examine possible solutions and adjust your server settings.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool that is packed with powerful features to make your monitoring effective as possible. Monitored servers include MySQL, MariaDB, PostgreSQL and SQL Server, and compatible with cloud databases like Amazon RDS, Amazon Aurora, Oracle Cloud, Google Cloud and Microsoft Azure.
Navicat Monitor is a server-based software which can be accessed from anywhere via a web browser. With web access, you can easily and seamlessly keep track of your servers around the world, around the clock.
Navicat Monitor includes a rich set of real-time and historical graphs that allow you to drill down into server statistic details. It gives you a detailed view of each server load and performance regarding its availability, disk usage, network I/O, table locks and more, which allows you to easily track the deviations and traffic among servers, as well as examine possible solutions and adjust your server settings.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool that is packed with powerful features to make your monitoring effective as possible. Monitored servers include MySQL, MariaDB, PostgreSQL and SQL Server, and compatible with cloud databases like Amazon RDS, Amazon Aurora, Oracle Cloud, Google Cloud and Microsoft Azure.
Navicat Monitor is a server-based software which can be accessed from anywhere via a web browser. With web access, you can easily and seamlessly keep track of your servers around the world, around the clock.
Navicat Monitor includes a rich set of real-time and historical graphs that allow you to drill down into server statistic details. It gives you a detailed view of each server load and performance regarding its availability, disk usage, network I/O, table locks and more, which allows you to easily track the deviations and traffic among servers, as well as examine possible solutions and adjust your server settings.