Multi-Cloud Deployment with Terraform (AWS + GCP + Azure)

Goal

Deploy identical infrastructure across AWS, GCP, and Azure using Terraform modules and workspaces. The infrastructure will include Compute (VMs), Storage (Blob/Cloud Storage), and DNS failover configuration.

Terraform Skills Demonstrated

• Provider Aliasing: Managing multiple cloud providers in a single configuration using aliases.
• Cross-cloud Variable Abstraction: Using variables to abstract common configurations across different cloud providers.
• Conditional Deployments: Deploy resources conditionally based on environment (e.g., dev, staging, production).
• Multi-Cloud Resources:
  • AWS: EC2, S3
  • GCP: Compute Engine, Cloud Storage
  • Azure: Virtual Machines, Blob Storage
• DNS Failover: Setting up DNS failover using AWS Route 53 and GCP Cloud DNS to ensure high availability.

Prerequisites

• Terraform 1.4.x or later
• AWS, GCP, and Azure accounts with appropriate permissions
• API keys or credentials for AWS, GCP, and Azure set up on your machine (environment variables or ~/.aws/credentials, ~/.gcp/credentials.json, ~/.azure/config)
• Terraform provider plugins installed for AWS, GCP, and Azure.

Project Structure

├── main.tf # Main Terraform configuration ├── variables.tf # Variables for resource configurations ├── outputs.tf # Outputs after deployment ├── modules/ │ ├── aws_infrastructure/ # AWS-specific resources (EC2, S3) │ ├── gcp_infrastructure/ # GCP-specific resources (Compute Engine, Cloud Storage) │ └── azure_infrastructure/ # Azure-specific resources (VM, Blob Storage) ├── workspaces/ # Separate configurations per environment (dev, staging, prod) ├── dns_failover.tf # Route 53 and GCP DNS failover configuration └── README.md