Learn how to manage infrastructure across multiple cloud providers. Strategies for multi-cloud deployments and vendor lock-in avoidance.

Stay Updated

Get the latest tutorials, guides, and insights on AI, DevOps, Cloud, and Infrastructure delivered directly to your inbox.

Open full subscribe page

On this page

Multi-Cloud Infrastructure: Managing Resources Across Providers

Multi-cloud strategies provide flexibility and avoid vendor lock-in. This guide covers implementation.

Provider Configuration #

hcl.hcl

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

# Azure provider
provider "azurerm" {
  features {}
}

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

Cross-Cloud Networking #

hcl.hcl

# AWS VPC
resource "aws_vpc" "main" {
  cidr_block = "10.0.0.0/16"
}

# Azure VNet
resource "azurerm_virtual_network" "main" {
  name          = "vnet"
  address_space = ["10.1.0.0/16"]
}

Abstraction Layers #

hcl.hcl

# Use modules to abstract providers
module "compute" {
  source = "./modules/compute"
  
  providers = {
    aws = aws
    azurerm = azurerm
  }
  
  cloud_provider = var.cloud_provider
}

Challenges #

Different APIs
Varying features
Cost management
Networking complexity
Compliance across clouds

Best Practices #

Use abstraction layers
Standardize on common services
Monitor costs across clouds
Plan networking carefully
Test cross-cloud scenarios

Conclusion #

Multi-cloud provides flexibility but adds complexity. Use abstraction layers and standardize where possible.

For Multi-Cloud Infrastructure: Managing Resources Across Providers, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.

Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.

Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.