terraform

Functional Requirements Infrastructure Provisioning: Automate the creation of an Azure account, including resource groups, networking, identity management, and security configurations using Terraform. State Management: Store Terraform state securely using Terraform Enterprise’s PostgreSQL backend and Azure Storage Accounts, ensuring no customer state is co-located. Encryption: Enable encryption at rest for all storage accounts and PostgreSQL databases using Azure-managed keys or customer-managed keys (CMK). Identity and Access Management (IAM): Configure Azure Active Directory (AAD) roles and permissions to enforce least privilege access for Terraform workflows. Logging and Monitoring: Enable Azure Monitor, Log Analytics, and Terraform Enterprise audit logs for tracking infrastructure changes and access patterns. Networking Security: Restrict Terraform state storage and PostgreSQL database access using private endpoints, service endpoints, and network security groups (NSGs). Secrets Management: Store sensitive credentials (e.g., service principal secrets) securely in Azure Key Vault and retrieve them dynamically within Terraform workflows. Deployment Workflow: Implement CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) to validate and apply Terraform configurations in a structured and automated manner. Non-Functional Requirements Security & Compliance:

Ensure end-to-end encryption for all data at rest and in transit. Enforce RBAC policies to prevent unauthorized access. Implement audit logging for compliance with industry standards (e.g., HIPAA, SOC2). Scalability:

Support multi-tenant environments without co-locating customer state in shared storage. Allow dynamic scaling of Terraform Enterprise’s PostgreSQL database and storage backend. Reliability & Availability:

Design for high availability, ensuring zero downtime for state storage and Terraform Enterprise. Implement backup and disaster recovery for PostgreSQL and storage accounts. Performance:

Optimize Terraform runs to complete within defined SLAs. Minimize API rate limits and latency issues with Azure resource provisioning. Maintainability:

Use modular Terraform configurations to enable reusability and ease of updates. Implement automated testing and validation for Terraform modules before deployment. Cost Optimization:

Use reserved instances or autoscaling where applicable to reduce cloud costs. Monitor Terraform execution costs and storage utilization with Azure Cost Management.