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Скачать или смотреть Automating Azure VM Deployment with Terraform: Outputting Multiple Subnet IDs

  • vlogize
  • 2025-03-27
  • 3
Automating Azure VM Deployment with Terraform: Outputting Multiple Subnet IDs
Terraform Output multiple subnet idsazureterraformterraform provider azure
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Описание к видео Automating Azure VM Deployment with Terraform: Outputting Multiple Subnet IDs

Learn how to effectively output multiple subnet IDs in Terraform for Azure VM deployments and pass them to other modules seamlessly.
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This video is based on the question https://stackoverflow.com/q/71115148/ asked by the user 'matt01' ( https://stackoverflow.com/u/18133499/ ) and on the answer https://stackoverflow.com/a/71119051/ provided by the user 'Marcin' ( https://stackoverflow.com/u/248823/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Terraform Output multiple subnet ids

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Automating Azure VM Deployment with Terraform: Outputting Multiple Subnet IDs

Terraform has become a powerful tool for managing cloud infrastructure efficiently, particularly when deploying resources like Azure virtual machines. As you dive into automating your deployments, you may encounter some challenges, especially as a newcomer. One common situation is needing to output multiple subnet IDs and utilize them across various modules. Let’s address this problem step-by-step.

Understanding the Problem

You are working on a Terraform configuration for deploying Azure virtual machines. Your current goal is to automate the creation of a virtual network (VNet) comprising three subnets. However, you’re facing two key challenges:

How to output the subnet IDs for the three created subnets.

How to pass these subnet IDs to another module, specifically for creating network interfaces.

Example Code Snippets

Here’s a quick look at the code you’re working with for both subnets (subnet.tf) and network interfaces (nic.tf).

subnet.tf

[[See Video to Reveal this Text or Code Snippet]]

nic.tf

[[See Video to Reveal this Text or Code Snippet]]

Solution Steps

Let’s break down the solution into clear sections that address each of your challenges effectively.

1. Outputting Subnet IDs

Since your subnet resource uses a for_each loop, it creates a map of subnets. To output the subnet IDs, you can make use of Terraform's output functionality. Here’s how:

Add the following output block to your main configuration file:

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

output: This declares an output variable.

values(azurerm_subnet.SUBNETS)[*].id: This expression extracts the IDs of all subnet resources created, returning them as a list.

2. Passing Subnet IDs to Another Module

To use the outputted subnet IDs in another module (e.g., for creating network interfaces), you can pass these values like any other variable.

Here’s how you would set this up:

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

module "myothermodule": Represents a call to another module.

source: Specifies the path to the other module.

subnets_ids: Here, you’re assigning the outputted subnet IDs from the subnet module to the new module's input.

Conclusion

By implementing the solutions outlined above, you’ll be able to successfully output multiple subnet IDs and pass them seamlessly to other modules within your Terraform configuration for Azure VM deployment. This not only allows for cleaner code organization but also leverages the power of Terraform's modular capabilities.

Continuing to enhance your Terraform skills will enable you to automate deployments more efficiently and manage resources more effectively in the cloud. Happy coding!

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