What cloud providers does this Terraform skill support?

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

How does this skill help with infrastructure testing?

It provides standardized structures for implementing Terratest, allowing you to write Go-based tests to verify that your infrastructure is provisioned correctly.

Does it support multi-cloud architectures?

Absolutely. It is specifically designed to help you create standardized, reusable components that facilitate consistent deployment patterns across different cloud ecosystems.

Can I use these modules for production environments?

Yes, the patterns follow production-ready best practices such as resource tagging, input validation, provider version pinning, and modular composition.

Terraform Module Library

Name: Terraform Module Library
Author: wshobson

bywshobson

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23,194

Cloud Infrastructure

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

About

The Terraform Module Library skill empowers developers and DevOps engineers to create standardized, multi-cloud infrastructure components with ease. It provides production-ready patterns for essential cloud services like VPCs, managed Kubernetes (EKS, AKS, GKE), and databases, ensuring all modules follow strict IaC best practices including input validation, semantic versioning, and comprehensive documentation. This skill is ideal for teams looking to establish organizational infrastructure standards, implement multi-cloud architectures, or automate cloud provisioning through modular, testable, and maintainable Terraform code.

Key Features

23,194 GitHub stars
Comprehensive testing integration using Terratest for infrastructure verification
Ready-to-use patterns for VPCs, Kubernetes clusters, and RDS databases
Standardized module structure with main.tf, variables, and outputs
Built-in input validation blocks and semantic versioning patterns
Multi-cloud support for AWS, Azure, and Google Cloud Platform

Use Cases

Standardizing cloud resource provisioning across an entire organization
Implementing complex multi-cloud architectures with consistent IaC patterns
Building a reusable library of secure, vetted infrastructure components

About

Key Features

23,194 GitHub stars
Comprehensive testing integration using Terratest for infrastructure verification
Ready-to-use patterns for VPCs, Kubernetes clusters, and RDS databases
Standardized module structure with main.tf, variables, and outputs
Built-in input validation blocks and semantic versioning patterns
Multi-cloud support for AWS, Azure, and Google Cloud Platform

Use Cases

Standardizing cloud resource provisioning across an entire organization
Implementing complex multi-cloud architectures with consistent IaC patterns
Building a reusable library of secure, vetted infrastructure components