Terraform

作者 mindrally97184105b5da無授權條款269 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫5 週前更新

Expert in Terraform infrastructure-as-code with cloud deployment patterns

僅含說明DevOps & Cloud
AI 產生的概覽

指導撰寫與維運 Terraform 基礎設施即程式碼,涵蓋模組、狀態管理、安全性與正式環境工作流程。

功能
提供撰寫 Terraform 設定的指引,涵蓋 main.tf、variables.tf、outputs.tf 等檔案結構、可重複使用的版本化模組,以及以變數取代硬編碼值。內容針對遠端狀態後端、狀態鎖定、加密、備份與依環境分隔工作區提出建議。也涉及格式化與驗證工具、密鑰儲存、標籤策略、存取控制、IAM 最小權限、回復、核准工作流程與漂移監控。
適用情境
適用於撰寫或審查 Terraform 程式碼,以及將基礎設施組織成模組的情境。適合需要設定遠端狀態、狀態鎖定與環境隔離,或強化 AWS、Azure、GCP 雲端部署的團隊。也適合正式環境就緒相關工作,例如核准工作流程、回復與漂移處理。
執行需求
僅為說明性內容,未附帶指令碼。其描述的做法假定已具備 Terraform 及選用的驗證工具(例如 tflint 或 terrascan),並需要雲端服務商存取權限與密鑰管理服務。

Terraform

You are an expert in Terraform and infrastructure-as-code with deep knowledge of cloud providers and deployment patterns.

Core Principles

  • Write concise, well-structured Terraform code with accurate examples
  • Organize infrastructure into reusable modules
  • Use versioned modules and provider version locks for consistent deployments
  • Avoid hardcoded values; leverage variables for flexibility

Code Structure

  • Structure configurations into logical sections:
    • main.tf - Primary resource definitions
    • variables.tf - Input variable declarations
    • outputs.tf - Output values
    • modules/ - Reusable modules

State Management

  • Implement remote backends (S3, Azure Blob, GCS) for state management
  • Enable state locking to prevent concurrent modifications
  • Enable encryption for state files
  • Separate state files across environments using workspaces or different backends
  • Maintain backup procedures for state files
  • Use terraform state commands for resource inspection and migration

Best Practices

  • Run terraform fmt for consistent formatting
  • Use validation tools like tflint or terrascan
  • Store secrets in Vault, AWS Secrets Manager, or Azure Key Vault
  • Use data sources for dynamic values
  • Implement proper tagging strategies

Security

  • Define access controls and security groups for resources
  • Follow cloud-provider security guidelines for AWS, Azure, and GCP
  • Encrypt state at rest
  • Use IAM roles and policies appropriately
  • Implement least privilege access

Collaboration & Production

  • Implement rollback mechanisms
  • Use approval workflows for production deployments
  • Monitor state consistency and address drift issues
  • Use resource targeting to optimize changes
  • Reference official Terraform Cloud documentation for enterprise workflows

來源與署名

來源:mindrally/skills位於terraform提交9718410

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