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Terraform for Multi-Cloud Strategy: Design, Split & Share Infra Across Providers

Deploy to AWS, GCP, Azure and more all from a single Terraform project.

👋 Hey there, I’m Dheeraj Choudhary an AI/ML educator, cloud enthusiast, and content creator on a mission to simplify tech for the world.
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Why Multi-Cloud with Terraform Works So Well

Terraform uses providers — plugins that let it talk to cloud APIs. You can configure multiple providers in one project:

provider "aws" {
  region = "us-east-1"
}

provider "google" {
  project = "my-gcp-project"
  region  = "us-central1"
}

Terraform knows which resources belong to which provider
You can isolate state, use different modules, and manage infra consistently
No need for separate tools or DSLs

Best Practices for Multi-Cloud Terraform Architecture

1. Split by Cloud Provider

Structure your project so that each cloud has its own directory/module:

infra/
├── aws/
│   ├── main.tf
│   ├── provider.tf
├── gcp/
│   ├── main.tf
│   ├── provider.tf

Cleaner separation
Easier state management
Modular deploys and ownership

2. Use Aliased Providers for Dual Cloud Access

When using multiple providers in the same root, alias them:

provider "google" {
  alias  = "gcp_us"
  region = "us-central1"
}

resource "google_compute_instance" "web" {
  provider = google.gcp_us
  name     = "multi-cloud-instance"
  # ...
}

3. Use Separate State Files Per Cloud

Avoid shared state across providers:

  • Better security boundaries

  • Safer applies

  • Easier troubleshooting

Configure different S3/GCS/Blob backends:

backend "s3"     // For AWS
backend "gcs"    // For GCP

Hands-On: Deploy in AWS + GCP Simultaneously

Step 1: Configure Providers

provider "aws" {
  region = "us-east-1"
}

provider "google" {
  region  = "us-central1"
  project = "my-gcp-project"
}

Step 2: Define Resources

resource "aws_s3_bucket" "storage" {
  bucket = "my-multi-cloud-bucket"
}

resource "google_storage_bucket" "gcp_bucket" {
  name     = "gcp-multicloud-bucket"
  location = "US"
}

Avoid These Common Pitfalls

Pitfall

Problem

Fix

Shared state across providers

Insecure and hard to debug

Use isolated backends

Hardcoded cloud-specific values

Poor portability

Use input variables + maps

Complex provider aliasing in modules

Breaks reusability

Scope aliases clearly, pass provider blocks

Mixed credentials in same file

Security risk

Use per-cloud IAM roles & environment vars

When Not to Go Multi-Cloud (Yet)

When you don't have a clear business case
  When team maturity doesn’t support it
  When compliance/security boundaries are undefined
  When DR or cost optimization can be handled in-region or cross-account instead

Terraform makes it possible but that doesn’t mean it’s always the right move.

💡 Tip of the Day:

Multi-cloud is not about tech it's about strategy. Terraform gives you the tools. But you need a clean architecture, clear split, and real reason to go multi-cloud.

📚 Resources & References

1️⃣ Terraform Provider Configuration
🔗 Docs
How to use multiple and aliased providers.

2️⃣GCP & AWS Provider Docs
🔗 GCP
🔗 AWS

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Conclusion

Terraform doesn’t just support multi-cloud it empowers it.

Its provider system, modular design, and state backend flexibility make it one of the few tools that can confidently handle real multi-cloud deployments across AWS, Azure, GCP, and beyond.

But power requires clarity.

  • ✅ Structure your project per provider

  • ✅ Use separate backends

  • ✅ Scope your providers with aliases

  • ✅ Avoid mixing everything in one root

Multi-cloud isn’t a buzzword it’s an architectural decision. Terraform helps you make that decision safe, repeatable, and scalable.

Write once. Deploy anywhere. Just do it deliberately.