Separating environment variables and modules into dedicated repositories enhances security, scalability, and maintainability. Implementing these patterns fosters better team collaboration, version control, and governance for your infrastructure codebase.
Managing infrastructure code at scale presents unique challenges, particularly when handling environment variables and reusable modules across teams and projects. This guide will help you improve security, streamline collaboration, and reduce configuration errors by effectively separating these concerns into different repositories.
Think of your infrastructure code like a well-organized toolbox. You wouldn't mix your general-purpose tools (modules) with specific task-related configurations (environment variables). Here's why separation matters:
central-config/
├── environments/
│ ├── dev.tfvars
│ ├── staging.tfvars
│ └── prod.tfvars
└── README.md
Environment variables contain sensitive information like API keys and passwords. A dedicated repository provides:
- Granular access control for sensitive data
- Clear audit trails for configuration changes
- Environment-specific security policies
- Simplified compliance management
infrastructure-modules/
├── networking/
│ ├── main.tf
│ ├── variables.tf
│ └── outputs.tf
└── README.md
Modules are your reusable infrastructure components. Separate repositories enable:
- Independent versioning and release cycles
- Easier sharing across teams
- Focused testing and validation
- Clear dependency management
Acme Corp's journey provides a compelling example of this approach in action. When they started their cloud migration, all teams worked from a single repository, leading to accidental credential exposure, conflicting changes, and poor change tracking. After implementing repository separation, the results were clear:
Challenge: Modules often depend on specific environment configurations.
Solution: Use version constraints and clear documentation of required variables.
module "network" {
source = "git::https://github.com/acme/infrastructure-modules//networking?ref=v1.2.0"
vpc_cidr = var.environment_config.vpc_cidr
}
Challenge: Keeping environment configs in sync with module requirements.
Solution: Implement automated validation workflows:
name: Validate Configs
on: [pull_request]
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Validate Variables
run: ./scripts/validate-env-vars.sh
Just like any production software, your infrastructure code needs robust version control. At Acme Corp, a developer accidentally deployed an untested networking module to production. After that incident, they established clear versioning rules: all module changes require version tags (v1.2.0 for major updates), mandatory pull request reviews, and protected main branches. Their commit messages now read like a clear story of infrastructure evolution, making troubleshooting much simpler.
Think of testing as your safety net. One team learned this the hard way when an untested configuration change took down their staging environment. Now, they run three layers of checks: module functionality tests, full environment integration tests, and automated security scans. When someone modifies the database module, for instance, tests verify it works both standalone and with connected services.
Security isn't just about code - it's about who can access what. A financial services client of ours restricts production environment access to senior engineers only, requires two-factor authentication for all repository access, and maintains separate credentials for each deployment stage. They audit access logs monthly, which recently helped them identify and revoke unnecessary production access for several departed team members.
Modern infrastructure management platforms can help you implement these patterns effectively. For example, Harness provides robust features for managing both environment variables and module registries in a secure, scalable way. By leveraging tools like Harness, you can maintain this separation while benefiting from integrated workflows for deployment and management.
If you’d like to learn more about how Harness supports these best practices, check out the Harness IaCM. For a deeper dive into handling sensitive configurations, visit the Environment Variables Documentation or explore the Module Registry Guide to see how reusable modules are managed effectively.
Ultimately, separating environment variables and modules into different repositories isn’t just about keeping things organized—it’s about creating a scalable, secure, and maintainable infrastructure codebase that evolves with your organization’s needs. By following these patterns, you’ll empower your team to work efficiently and confidently as your infrastructure grows.