Does this skill include infrastructure testing?

Yes, it includes standardized patterns for testing Terraform modules using Terratest to ensure reliability and catch errors before deployment.

Which cloud providers are supported by this skill?

The skill provides comprehensive patterns and modules for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

How does it help with multi-cloud consistency?

It provides a unified directory structure and module pattern for VPCs, Kubernetes clusters, and storage across all three major providers, ensuring a consistent developer experience.

Can I use these modules for complex architectures?

Absolutely. The skill is designed for module composition, allowing you to combine base modules like VPCs and subnets with higher-level services like RDS or EKS.

Are security best practices included?

The skill emphasizes best practices such as input validation blocks, resource tagging, provider version pinning, and modular isolation to improve security and maintainability.

Terraform Infrastructure Module Library

Name: Terraform Infrastructure Module Library
Author: HermeticOrmus

byHermeticOrmus

Infraestructura en la Nube

Builds reusable, production-ready Terraform modules for AWS, Azure, and GCP following infrastructure-as-code best practices.

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The Terraform Infrastructure Module Library skill empowers developers and DevOps engineers to build standardized, multi-cloud infrastructure components. It provides production-ready patterns for essential cloud services like VPCs, Kubernetes clusters (EKS/AKS/GKE), and databases across major cloud providers. By implementing strict IaC best practices—including semantic versioning, rigorous input validation, and Terratest-driven validation—this skill helps organizations establish consistent provisioning standards, reduce configuration drift, and accelerate cloud resource deployment through modular architecture.

Características Principales

Multi-cloud support for AWS, Azure, and GCP resources
Pre-configured input validation and output patterns
Comprehensive tagging and naming convention standards
Standardized directory structures for modular IaC
Integration with Terratest for automated infrastructure testing
0 GitHub stars

Casos de Uso

Standardizing cross-cloud network and compute provisioning
Creating a library of reusable, versioned cloud components
Establishing organizational infrastructure-as-code standards

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Características Principales

Multi-cloud support for AWS, Azure, and GCP resources
Pre-configured input validation and output patterns
Comprehensive tagging and naming convention standards
Standardized directory structures for modular IaC
Integration with Terratest for automated infrastructure testing
0 GitHub stars

Casos de Uso

Standardizing cross-cloud network and compute provisioning
Creating a library of reusable, versioned cloud components
Establishing organizational infrastructure-as-code standards