Which cloud providers are covered in the comparison frameworks?

The skill focuses on the 'Big Three' providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

How does this skill help avoid vendor lock-in?

It provides patterns for using cloud-agnostic tools like Kubernetes, PostgreSQL, and Terraform to create abstraction layers between your application logic and the specific cloud provider APIs.

Can this skill assist with cloud cost management?

It includes a dedicated cost comparison framework and strategies for optimizing spend through reserved capacity, spot instances, and data transfer optimization.

Does it support disaster recovery planning?

Yes, it offers specific architectural patterns for single-provider setups with multi-cloud failover, database replication, and automated disaster recovery.

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: gwickman

bygwickman

0•

Cloud Infrastructure

Architects and integrates cloud services across AWS, Azure, and GCP using a standardized decision framework to optimize for cost and resilience.

Multi-Cloud Architecture provides a comprehensive framework for designing cloud-agnostic systems that leverage the unique strengths of AWS, Azure, and Google Cloud Platform. It assists developers in selecting the right service offerings—from compute and storage to databases—while avoiding vendor lock-in through abstraction layers like Kubernetes and Terraform. Whether you are migrating workloads, optimizing costs across providers, or implementing global disaster recovery strategies, this skill provides the implementation patterns and best practices needed to build resilient, production-ready distributed infrastructure.

Key Features

01Cloud-agnostic implementation strategies using Kubernetes and OpenTofu/Terraform

02Cross-provider service mapping for AWS, Azure, and GCP

03Standardized architectural patterns for disaster recovery and best-of-breed selection

04Phased migration strategy guides from assessment to optimization

050 GitHub stars

06Detailed cost optimization frameworks for multi-cloud resource management

Use Cases

01Selecting and integrating specialized AI/ML or database services for hybrid workloads

02Migrating infrastructure between major cloud vendors with minimal architectural friction

03Designing a high-availability disaster recovery strategy across multiple cloud providers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gwickman/auto-dev-test-target-1 multi-cloud-architecture

For use in Claude.ai and ChatGPT

Download Skill