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terraform-workflow-automation

Terraform workflow automation refers to the systematic execution of the Terraform lifecycle—write, plan, and apply—to manage infrastructure.^[400-devops__08-Infrastructure-as-Code__devops-terraform__learn-terraform-docker-container__README.md] By treating infrastructure as code, this workflow ensures that resource provisioning is repeatable, efficient, and minimizes human error.

The Core Workflow

The standard automation workflow consists of three sequential stages^[400-devops__08-Infrastructure-as-Code__devops-terraform__learn-terraform-docker-container__README.md]:

  1. Write: Define the desired state of the infrastructure using HCL (HashiCorp Configuration Language) in configuration files (.tf files).
  2. Plan: Run terraform plan to preview the actions Terraform will take to reach the desired state. This step highlights discrepancies between the actual and desired states without modifying resources.
  3. Apply: Run terraform apply to execute the proposed changes and provision or update the infrastructure resources.

Workflow Visualization

Terraform generates a visual execution plan during the workflow^[400-devops__08-Infrastructure-as-Code__devops-terraform__learn-terraform-docker-container__README.md]. This graph helps operators verify exactly which resources will be created, updated, or destroyed before finalizing the operation^[400-devops__08-Infrastructure-as-Code__devops-terraform__learn-terraform-docker-container__README.md].

  • [[筆記法]] (Note-taking Method) - The practice of documenting workflows to optimize work processes.
  • A/B Testing Deployment - Parallel execution strategies for infrastructure.

Sources