terraform-infrastructure

name	terraform-infrastructure
description	Terraform is an Infrastructure as Code (IaC) tool that allows you to Use when this capability is needed.
metadata	{"author":"AmnadTaowsoam"}

Terraform Infrastructure

Skill Profile

(Select at least one profile to enable specific modules)

• DevOps
• Backend
• Frontend
• AI-RAG
• Security Critical

Overview

Terraform is an Infrastructure as Code (IaC) tool that allows you to define and provision cloud infrastructure. This skill covers Terraform basics, providers, resources, modules, state management, remote state, workspaces, and best practices for building reproducible, scalable infrastructure.

Why This Matters

Terraform is critical for modern infrastructure because it:

• Enables Infrastructure as Code for reproducible deployments
• Provides version control for infrastructure changes
• Supports multiple providers (AWS, Azure, GCP, etc.)
• Implements state management for tracking resources
• Enables collaboration through shared state
• Provides planning before applying changes
• Supports modules for reusable infrastructure components

---

Core Concepts

Concept	Description
Provider	Plugin for managing resources (AWS, Azure, GCP)
Resource	Infrastructure component to manage
Variable	Input parameters for configuration
Output	Values returned after apply
Module	Reusable collection of resources
State	Mapping of resources to configuration
Workspace	Separate state for different environments

Inputs / Outputs / Contracts

Skill Composition

• Depends on: git-workflow
• Compatible with: None
• Conflicts with: None
• Related Skills: docker, kubernetes

Quick Start / Implementation Example

1. Review requirements and constraints
2. Set up development environment
3. Implement core functionality following patterns
4. Write tests for critical paths
5. Run tests and fix issues
6. Document any deviations or decisions

# Example implementation following best practices
def example_function():
    # Your implementation here
    pass

Assumptions

• Cloud provider account is configured with appropriate permissions
• Terraform CLI is installed
• Network connectivity to cloud provider APIs
• Team has basic understanding of cloud infrastructure
• Version control system (Git) is available

Compatibility & Prerequisites

• Supported Versions:
  • Python 3.8+
  • Node.js 16+
  • Modern browsers (Chrome, Firefox, Safari, Edge)
• Required AI Tools:
  • Code editor (VS Code recommended)
  • Testing framework appropriate for language
  • Version control (Git)
• Dependencies:
  • Language-specific package manager
  • Build tools
  • Testing libraries
• Environment Setup:
  • .env.example keys: API_KEY, DATABASE_URL (no values)

Test Scenario Matrix (QA Strategy)

Type	Focus Area	Required Scenarios / Mocks
Unit	Core Logic	Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage
Integration	DB / API	All external API calls or database connections must be mocked during unit tests
E2E	User Journey	Critical user flows to test
Performance	Latency / Load	Benchmark requirements
Security	Vuln / Auth	SAST/DAST or dependency audit
Frontend	UX / A11y	Accessibility checklist (WCAG), Performance Budget (Lighthouse score)

Technical Guardrails & Security Threat Model

1. Security & Privacy (Threat Model)

• Top Threats: Injection attacks, authentication bypass, data exposure

• Data Handling: Sanitize all user inputs to prevent Injection attacks. Never log raw PII
• Secrets Management: No hardcoded API keys. Use Env Vars/Secrets Manager
• Authorization: Validate user permissions before state changes

2. Performance & Resources

• Execution Efficiency: Consider time complexity for algorithms
• Memory Management: Use streams/pagination for large data
• Resource Cleanup: Close DB connections/file handlers in finally blocks

3. Architecture & Scalability

• Design Pattern: Follow SOLID principles, use Dependency Injection
• Modularity: Decouple logic from UI/Frameworks

4. Observability & Reliability

• Logging Standards: Structured JSON, include trace IDs request_id
• Metrics: Track error_rate, latency, queue_depth
• Error Handling: Standardized error codes, no bare except
• Observability Artifacts:
  • Log Fields: timestamp, level, message, request_id
  • Metrics: request_count, error_count, response_time
  • Dashboards/Alerts: High Error Rate > 5%

Agent Directives

When using Terraform:

1. Always run terraform init before other commands
2. Validate configuration with terraform validate
3. Review plan with terraform plan before applying
4. Use remote state for team collaboration
5. Encrypt sensitive data in state
6. Use modules for reusable infrastructure
7. Document all changes in commit messages

Definition of Done (DoD) Checklist

• Tests passed + coverage met
• Lint/Typecheck passed
• Logging/Metrics/Trace implemented
• Security checks passed
• Documentation/Changelog updated
• Accessibility/Performance requirements met (if frontend)

Anti-patterns

1. Hardcoding Values: Not using variables for configuration
2. No Remote State: Using local state for team collaboration
3. No State Locking: Multiple users modifying state simultaneously
4. Ignoring State Drift: Not refreshing state regularly
5. Large Monolithic Files: Not using modules for organization
6. Manual Changes: Modifying resources outside Terraform

Reference Links & Examples

• Internal documentation and examples
• Official documentation and best practices
• Community resources and discussions

Versioning & Changelog

• Version: 1.0.0
• Changelog:
  • 2026-02-22: Initial version with complete template structure

---

Source: AmnadTaowsoam/CerebraSkills — distributed by TomeVault.