ConfigGenerator

Terraform Module Generator

Generate Terraform module structures with main.tf, variables.tf, outputs.tf, README, examples, versions, providers, and reusable IaC patterns.

Output:A ready-to-use configuration file for Terraform Module with best practices applied.

Module Composition

Scaffold Resources
Enterprise Best Practices
main.tfNot Generated
Not generated yet

Quick Summary

A Terraform Module Generator automatically scaffolds the standard directory structure and necessary HCL files to build reusable, versionable Infrastructure as Code modules.

What is this tool?

Terraform modules are containers for multiple resources that are used together. A Terraform Module Generator takes the manual work out of creating consistent module templates by providing valid main.tf, variables.tf, outputs.tf, and README files that adhere to HashiCorp's recommended best practices.

How to Use This Tool

  1. Define Module Name — Enter a descriptive name for your module.
  2. Select Required Providers — Define the providers (e.g., AWS, Azure) your module will use.
  3. Add Variables & Outputs — Configure the inputs your module requires and the outputs it will expose.
  4. Export Structure — Download the generated folder structure or copy the individual files.

What This Tool Generates

  • modules/example/main.tf
  • modules/example/variables.tf
  • modules/example/outputs.tf
  • modules/example/README.md
  • examples/basic/main.tf

Example Output Explanation

A standard module usage example generated in the examples folder:

module "vpc" {
  source = "../../modules/vpc"

  vpc_name = "production-vpc"
  cidr     = "10.0.0.0/16"
  
  tags = {
    Environment = "production"
    Team        = "platform"
  }
}

Best Practices

  • Publish modules to a registry (like the Terraform Registry or a private enterprise registry) with semantic versioning.
  • Document all variables and outputs clearly in the module's <code>{`README.md`}</code>.
  • Use local values (<code>{`locals {}`}</code>) to handle complex logic inside the module rather than cluttering resources.
  • Include an <code>{`examples/`}</code> directory showing how consumers should invoke your module.

Common Mistakes

  • Hardcoding values inside the module that should be configurable variables.
  • Creating 'mega-modules' that do too many things instead of composable, single-purpose modules.
  • Failing to declare minimum provider versions in a <code>{`terraform {}`}</code> required_providers block inside the module.

Security Notes

  • <strong>Variables:</strong> Flag sensitive input variables (like database passwords) with <code>{`sensitive = true`}</code> to prevent them from showing in logs.
  • <strong>Defaults:</strong> Avoid setting insecure default values for security groups, open ports, or public buckets inside the module.
  • <strong>Validation:</strong> Use variable validation blocks to ensure inputs meet security constraints before applying.

Testing Instructions

  • Run <code>{`terraform fmt -check`}</code> to ensure module files are correctly formatted.
  • Use <code>{`terraform validate`}</code> to check the module configuration.
  • Run integration tests using tools like Terratest on the module's example configurations.

Frequently Asked Questions

What is a Terraform Module?
A Terraform module is a container for multiple resources that are used together. Modules allow you to create reusable, logical infrastructure components, keeping your codebase DRY.
How do I use the generated module?
Place the generated files in a local directory. Reference that directory from your root configuration using a module block (source = 'my_module') and provide required input variables.
Can I generate documentation for my module?
Yes, our generator scaffolds a README.md file specifically formatted to document the module's inputs, outputs, and requirements.
Why should I pin provider versions in modules?
Modules should specify minimum provider versions to ensure that consumers of the module have the necessary provider features available to apply the resources correctly.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.

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