Best practices
Follow these guidelines when you use Terraform to automate your DevOps tasks on AWS.
Do's:
-
Use
terraform_datafor custom scripts and provisioners. -
Use triggers to control resource recreation.
-
Implement a
local-execprovisioner for complex setup tasks. -
Use
depends_onfor explicit dependency management. -
Store state for idempotent operations.
-
Implement proper error handling in scripts.
-
Validate and sanitize inputs for security.
-
Log output for troubleshooting.
-
Use connection blocks for remote execution.
-
When you implement features with
terraform_data, consider it a temporary solution. Regularly check if the provider has added native support for that functionality. When the provider introduces native capability for yourterraform_dataimplementation, switch to the provider's official solution.
Don'ts:
-
Don't overuse
terraform_dataas a primary resource management tool. -
Avoid storing sensitive information directly in scripts.
-
Don't ignore error handling in provisioners.
-
Avoid complex, long-running scripts. Don't create null resources with multiple responsibilities and excessively complex workflows.
-
Don't create unnecessary dependencies. Follow state management principles and add only necessary triggers and
depends_onconditions in your code. -
Don't use
terraform_datafor core infrastructure management. Don't replace your standard resource management with custom resources. -
Don't hardcode credentials or sensitive data.
-
Don't ignore security best practices.
-
Don't skip input validation.