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A write up of file structure for company-wide CUE validation schemas #25

@Amoenus

Description

@Amoenus

Summary

This issue proposes the addition of a detailed write-up or documentation to the cue-by-example repository, focusing on the file structure for company-wide CUE validation schemas.

Given the extensive amount of configurations in organizations, having a clear understanding of how validation schemas (and potentially data files for generation) are structured would be immensely beneficial.

Detailed Description

Organizations begin adopting CUE for configuration and validation tasks. However, the lack of clear documentation on the recommended or standard file structure for validation schemas can lead to inconsistencies and inefficiencies. This documentation should ideally cover:

  1. Best Practices for File Organization: Guidelines on how to structure validation schema files in a project, considering scalability and ease of maintenance.

  2. Example Structures and Use Cases: Providing diverse templates and examples, including but not limited to:

    • Azure pipelines validation schemas.
    • Crossplane XRDs (Composite Resource Definitions) validation schemas.
    • Kubernetes configuration validation schemas.
    • Dockerfile and container configuration validation.
    • Terraform infrastructure as code validation schemas.
    • Ansible playbook validation schemas.
    • GitHub Actions workflow validation schemas.
    • Jenkins pipeline configuration validation.
    • Validation schemas for cloud services configurations (AWS, GCP, Azure).
    • Network configuration validation schemas for devices or services.
    • Database schema validation for SQL and NoSQL databases.
    • Application configuration files like JSON, YAML, or XML validation.
    • Environment variable and .env file validation schemas.
    • Validation for mobile app configuration files (iOS/Android).
    • Web server configuration validation (Nginx, Apache).
  3. Integration Recommendations: Tips on integrating these schemas with existing CI/CD pipelines, focusing on automation and consistency checks.

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