Table of Contents
Testing and Validation
- Avoid hardcoding sensitive data in Terraform configurations.
- Use
terraform validate
and terraform fmt
to check for syntax and style issues.
- Incorporate
tfsec
into your workflow to perform static analysis and security scanning on your Terraform code. tfsec
scans your code for potential security vulnerabilities and best practice violations, providing contextual information to help you understand and fix issues.
- Integrate
tfsec
into your CI/CD pipeline to automate security checks as part of your deployment process. This helps ensure that your Terraform code is secure and compliant before it reaches production.
- Use
tfdocs
to ensure that your modules are well-documented, which is crucial for ongoing testing, validation, and maintenance efforts.
- Incorporate automated testing where possible to ensure reliability. Automated tests can help identify issues early in the development process, reducing the risk of deploying insecure or faulty infrastructure.
- Consider using additional tools to enhance security and compliance across your infrastructure-as-code (IaC) projects:
- Checkov: Scans Terraform, CloudFormation, Kubernetes, and more for security misconfigurations.
- Terrascan: Focuses on scanning Terraform, Kubernetes, Helm, and other IaC formats for compliance and security issues.
- IaCFileScanner: A template mapping tool for Terraform, CloudFormation, ARM Templates, and Bicep.
- Template Analyzer: Scans ARM Templates and Bicep files for security and best practices.
- Trivy: Scans container images and IaC for vulnerabilities and misconfigurations.
-
These tools, along with Bandit for Python, BinSkim for binaries, and ESLint for JavaScript, provide comprehensive coverage for various aspects of code security and compliance. They can be integrated into your CI/CD pipelines to automate testing and validation processes.
- For more details on integrating these tools into your Azure DevOps workflows, refer to the Microsoft documentation.
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