stacks
A Terraform code pre-processor that minimizes codebase size while maintaining full infrastructure coverage.
What is stacks?
Stacks is a Terraform code pre-processor that transforms input infrastructure code into optimized output code for Terraform or OpenTofu consumption. It solves the problem of Terraform codebase bloat by enabling developers to write less code while maintaining full infrastructure coverage through features like templating, reusable modules, and secret encryption.
Infrastructure engineers, SRE teams, and DevOps professionals managing large-scale Terraform codebases who want to reduce complexity and improve maintainability.
Developers choose Stacks because it significantly reduces Terraform code duplication through intelligent preprocessing, offers Jinja templating for dynamic code generation, and provides built-in security features like inline secret encryption—all while remaining compatible with both Terraform and OpenTofu.
Overview
Stacks, the Terraform code pre-processor
Use Cases
Best For
- Reducing duplication in large Terraform codebases
- Implementing Jinja templating within Terraform configurations
- Managing secrets securely within infrastructure-as-code
- Creating reusable root modules across multiple environments
- Automating variable initialization in Terraform projects
- Simplifying collaboration on complex Terraform deployments
Not Ideal For
- Projects with small, simple Terraform configurations that don't require code reuse or templating
- Teams already using alternative infrastructure-as-code tools like Pulumi or AWS CDK
- Environments demanding strict native Terraform tooling without preprocessing layers
Pros & Cons
Pros
Jinja templating for Terraform enables writing less code by dynamically generating configurations, as per the feature list, reducing duplication in large codebases.
Reusable root modules allow creating and sharing infrastructure components across multiple stacks, promoting cleaner and more maintainable code.
Inline secret encryption provides a secure way to handle sensitive data directly in code, as highlighted in the features, without external tools.
Automatic variable initialization streamlines setup, making Terraform projects easier to manage and collaborate on, per the documentation.
Cons
Introduces a preprocessing step that must be run before Terraform, complicating CI/CD pipelines and local development workflows.
Requires knowledge of Jinja2 in addition to Terraform HCL, increasing the learning curve and potential for templating errors.
As a newer tool from Cisco, it lacks the extensive community modules and integrations available for pure Terraform or alternatives like Terragrunt.
Frequently Asked Questions
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