multi-cloud-architecture

Design multi-cloud architectures across AWS, Azure, and GCP with Terraform.

5|Updated Aug 23, 2025
One-click install
npx skills add https://github.com/camoneart/claude-code --skill multi-cloud-architecture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-cloud-architecture
Source: https://github.com/camoneart/claude-code/tree/main/skills/multi-cloud-architecture
Command: npx skills add https://github.com/camoneart/claude-code --skill multi-cloud-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the complexity and risk of vendor lock-in by providing a comprehensive framework for designing and implementing multi-cloud architectures across AWS, Azure, and GCP.

Core Features & Use Cases

  • Service Comparison: Detailed mapping of equivalent services across AWS, Azure, and GCP for compute, storage, and databases.
  • Architecture Patterns: Proven multi-cloud patterns including disaster recovery, best-of-breed, and geographic distribution.
  • Use Case: Imagine you're building a global e-commerce platform. Use this Skill to design a system that uses AWS for general compute, GCP for AI/ML services, and Azure for enterprise integrations while maintaining data sovereignty compliance.

Quick Start

Use the multi-cloud-architecture skill to compare AWS EC2, Azure Virtual Machines, and GCP Compute Engine for hosting a web application, including pricing and performance considerations.

Frequently Asked Questions about multi-cloud-architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I avoid vendor lock-in when designing cloud infrastructure?

Vendor lock-in occurs when your architecture tightly couples to one cloud provider's proprietary services, making migration costly. Design cloud-agnostic systems using infrastructure-as-code (Terraform) and service abstractions that map equivalent compute, storage, and database offerings across AWS, Azure, and GCP. This lets you switch providers or distribute workloads without rewriting core application logic.

How do I compare AWS, Azure, and GCP services for the same workload?

Map functionally equivalent services across providers: AWS EC2 to Azure VMs to GCP Compute Engine for compute; S3 to Blob Storage to Cloud Storage for object storage; RDS to SQL Database to Cloud SQL for relational databases. Compare pricing, performance, regional availability, and compliance requirements to select the best fit for each component, then standardize via IaC templates.

What's the best approach to migrate workloads between cloud providers?

Multi-cloud migration uses a decision framework to evaluate each workload: assess lock-in risk, map services to target providers, implement disaster recovery patterns, and validate security controls. Use infrastructure-as-code to abstract provider-specific details, enable parallel deployment, and minimize cutover risk. Prioritize workloads by criticality and migration complexity.

Can I use Terraform for multi-cloud deployments across AWS, Azure, and GCP?

Yes. Terraform supports providers for AWS, Azure, and GCP through a unified configuration language. Define cloud-agnostic abstraction layers using modules and variables to deploy identical architectures across providers, manage service mappings, and enforce consistent naming and tagging conventions without rewriting infrastructure code per cloud.

How do I optimize costs across multiple cloud providers?

Multi-cloud cost optimization compares per-service pricing tiers, regional rates, and commitment discounts (reserved instances, savings plans) across AWS, Azure, and GCP. Route workloads to the lowest-cost provider for each service type, consolidate usage within a single provider where economies of scale apply, and use FinOps tooling to monitor cross-cloud spend.

What disaster recovery patterns work best for multi-cloud architectures?

Multi-cloud DR patterns include geographic distribution (active-active across regions in different providers), best-of-breed selection (each provider for its strengths), and failover automation via IaC. Replicate data across providers, enforce consistent security controls, and test recovery procedures regularly to minimize RTO and RPO.