terraform-reviewer

Identify and remediate Terraform configuration issues by applying production-grade criteria to .tf files and plan outputs, enforcing least privilege, encrypted remote state with locking, and explicit variable descriptions to prevent misconfigurations.

Infrastructure as code drift detection identifies differences between live cloud infrastructure and Terraform state. It applies to Terraform modules by analyzing plan outputs and state management scenarios to flag inconsistencies and inefficient resource allocations.

Enforce remote state with locking and provider version pinning by validating Terraform codebases against production-grade review criteria, ensuring infrastructure reliability by checking module boundaries, state configurations, and provider constraints in .tf files.

Yes, you can identify inefficient resources and cost issues by reviewing Terraform plan outputs and modules. The review process applies cost optimization criteria to flag inefficient resource allocations and detect infrastructure drift across providers.

Yes, the Terraform review process works without external dependencies or components. It directly analyzes .tf files, plan outputs, and module boundaries to validate infrastructure as code quality, security, and state management configurations.

Automated Terraform code reviews focus on static .tf files and plan outputs to enforce best practices, but they may not capture complex runtime cloud environment states or custom provider behaviors beyond standard state management and drift detection scenarios.