This project aims to automate the provisioning of Azure VMs, Databricks Clusters, and AKS (Azure Kubernetes Service) using a DevSecOps pipeline. Leveraging AI, it optimizes workload distribution and enforces security policies during infrastructure setup. The project includes a user-friendly interface to manage and monitor the provisioning process.
Installation Process Clone the repository. Install dependencies: Terraform Kubernetes Azure CLI Python (with necessary libraries) Software Dependencies Azure VM, Databricks Cluster, AKS Terraform for Infrastructure as Code Python for AI integration Angular for the user interface Azure DevOps for orchestration Latest Releases The latest version automates the provisioning of resources and includes AI-driven workload optimization and security enforcement.
API References /api/v1/provision - Triggers the provisioning of resources. /api/v1/validate - Validates infrastructure with AI for optimization and security compliance. /api/v1/monitor - Retrieves real-time monitoring status.
Build Use Terraform scripts to define and provision infrastructure. Use Angular to build the user interface (npm install and npm run build). Testing Unit Testing: Test individual microservices (e.g., provisioning, validation) to ensure functionality. Integration Testing: Verify seamless interaction between components like VMs, Databricks, and AKS. Load Testing: Test high-load scenarios by provisioning multiple resources concurrently. Security Testing: Ensure infrastructure complies with AI-driven security policies and passes penetration testing.
Contributions are welcome to improve the AI optimization, UI, and security features. To contribute:
Fork the repository. Create a new branch (git checkout -b feature-branch). Make your changes and run the tests. Submit a pull request.
