Blog-Technical-Content VS tflint

Next, we will go through an example of creating a custom module that takes as input a string that represents an epoch timestamp and converts it to its human-readable equivalent of type datetime in Python. You can find the code for this tutorial on this repository.

This is an example play to try out our new webserver role. Let’s go ahead and execute this play. To follow along, you should first run the vagrant up command from the top directory of this repository to create our target remote host.

Let’s examine how we can use all this in a real-world example. In this GitHub repository, we define the Terraform configuration for this example’s infrastructure. To follow along, you will need to install Terraform, have an AWS account ready, and authenticate with your AWS keys via the command line. Note that you might be charged a few dollars in your AWS account if you follow along.

If you are still learning how to use Ansible, you might also find helpful the introductory Ansible Tutorial or Working with Ansible Playbooks blog posts. You can find this article’s code on this repository if you wish to follow along.

Our primary entry point is main.tf, and in simple use cases, we can add all our resources there. We define our variables in variables.tf and assign values to them in terraform.tfvars. We use the file outputs.tf to declare output values. You can find a similar example project structure here.

‍TFLint is a Terraform linter focused on possible errors, best practices, and style conventions in your Terraform code.

TFlint is a powerful linter for Terraform, designed to catch errors and issues that terraform plan may not detect. As Terraform grows in popularity for infrastructure as code, the need for robust tools to ensure code quality and reliability becomes paramount. TFlint fulfills this need by analyzing Terraform configurations to find problems that are not covered by syntax checks. It checks for things like unsuitable AWS instance types, incorrect IAM policy syntax, and the use of deprecated syntax or features. By integrating TFlint into the development process, users can proactively identify potential problems, improving the stability and efficiency of their infrastructure deployments. This additional layer of validation is crucial for maintaining high standards in complex, cloud-based infrastructures.

Looking at the description, https://github.com/terraform-linters/tflint , I think it's not what I am looking for. The reason I used a different tcp port is to make the health check on load balancer fail. It's also the same as not changing the tcp port but developer making a code change in their javascript, nodejs, java, etc fail to start properly. If that happens, load balancer's health check will fail as well.

TFLint is an open-source infrastructure as code linter tool that helps developers and DevOps teams identify potential issues and errors in their Terraform code by checking the Terraform configuration files for best practices, coding standards, and policy compliance.

Indeed, that is the case, atm. Your comment got me searching a little bit more. It seems that they are planning to implement a flag for small fixes https://github.com/terraform-linters/tflint/issues/266

Sounds like tflint to me!

I created a .tflint.hcl with the following content: https://github.com/terraform-linters/tflint/blob/master/docs/user-guide/config.md (The example)

TFLint: This is a Terraform linter that checks for errors and best practices in your Terraform code. TFLint helps to catch common mistakes, such as variable name clashes, missing required variables, or invalid resource arguments. It also checks for compliance with best practices, such as naming conventions and resource ordering. By using TFLint, you can catch errors early on, which helps to improve the quality of your Terraform code.

tflint: Linter para Terraform, serve para avisar sobre problemas com sintaxe, erros nos principais provedores de nuvem, garantir boas práticas e outras coisas.