pluto VS tflint

You can get all the code for this example from here. This link provides an online IDE for this sample application. Click the Fork button in the upper right corner to create your own development environment, and then you can directly modify the code and deploy it to AWS in the browser.

Big Data Scenario: Word Count

Plutolang - Pluto is a new open-source programming language designed to help developers write cloud applications, making it easier to utilize cloud services. Developers can directly use required resources such as KV databases and message queues in their code based on business needs. Pluto uses static code analysis to obtain the infrastructure resource topology the application depends on and deploys the corresponding resource instances and applications on the specified cloud platform or Kubernetes.

Developers define variables in their code, and Pluto takes care of automatically creating and managing the required cloud resource components based on those variables. This simplifies the process of deploying and managing cloud infrastructure, enabling developers to make better use of the cloud. Read more

I'm currently working on a project with a similar concept. However, at the moment, I am using static program analysis technology to infer infrastructure dependencies. But I am considering using AI to deduce the dependencies and generate the final Infrastructure as Code. So, in the architecture, we can replace the deducer and generator with an implementation using AI, as shown in the diagram.

‍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.