Multi-Cloud Infrastructure: Managing Resources Across Providers
KU
Kiril Urbonas
2 months ago • 4 min read•Updated 2 weeks ago•3 views
Learn how to manage infrastructure across multiple cloud providers. Strategies for multi-cloud deployments and vendor lock-in avoidance.
Multi-cloud strategies provide flexibility and avoid vendor lock-in. This guide covers implementation.
# AWS provider
provider "aws" {
region = "us-east-1"
}
# Azure provider
provider "azurerm" {
features {}
}
# GCP provider
provider "google" {
project = "my-project"
region = "us-central1"
}
# 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"]
}
# Use modules to abstract providers
module "compute" {
source = "./modules/compute"
providers = {
aws = aws
azurerm = azurerm
}
cloud_provider = var.cloud_provider
}
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.
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.
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.
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.
Get the latest tutorials, guides, and insights on AI, DevOps, Cloud, and Infrastructure delivered directly to your inbox.
Incident Response for Platform Teams. Practical guidance for reliable, scalable platform operations.
A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.
Explore more articles in this category
How we shipped three schema migrations with zero customer impact. Expand-then-contract, dual-writes, and the rollback plan we never had to use — but tested anyway.
How we went from 200 alerts per week (most ignored) to 15 actionable alerts with clear runbooks and useful dashboards.
Practical patterns for Terraform modules at scale: versioning, composition, testing, and avoiding the monolith trap.
Evergreen posts worth revisiting.
