What architecture patterns are included?

It covers four primary patterns: Single Provider with cross-cloud DR, Best-of-Breed service selection, Geographic Distribution for data sovereignty, and Cloud-Agnostic Abstraction.

Which cloud providers are supported by this skill?

The skill provides a detailed comparison and integration framework for the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Can this skill assist with cloud cost management?

Yes, it includes specific strategies for cost optimization across providers, including the use of reserved capacity, spot instances, and lifecycle policies.

How does this skill help avoid vendor lock-in?

It provides guidance on using cloud-agnostic abstraction layers, such as Kubernetes for compute and PostgreSQL for databases, along with open-source tools like Terraform.

Multi-Cloud Architecture Framework

Name: Multi-Cloud Architecture Framework
Author: sla-te

bysla-te

0•

Cloud Infrastructure

Designs resilient multi-cloud architectures using a decision framework to integrate services across AWS, Azure, and GCP.

This skill provides a comprehensive decision-making framework and design patterns for building applications that span AWS, Azure, and Google Cloud Platform. It enables users to select the most appropriate cloud-native services for specific workloads, implement disaster recovery across providers, and maintain cloud-agnostic architectures to avoid vendor lock-in. By providing detailed service comparisons and cost-optimization strategies, it helps engineering teams optimize their infrastructure for performance, cost, and global reliability across the major cloud ecosystems.

Key Features

01Cross-provider service mapping for AWS, Azure, and GCP compute, storage, and databases

02Comprehensive four-phase migration strategy from assessment to optimization

030 GitHub stars

04Cloud-agnostic abstraction guidance using Kubernetes and Terraform

05Cost-optimization frameworks for managing multi-cloud spend and resource rightsizing

06Strategic architecture patterns including Disaster Recovery and Best-of-Breed integration

Use Cases

01Designing high-availability systems with automated failover between different cloud regions

02Migrating complex workloads from a single provider to a multi-cloud or hybrid environment

03Selecting the optimal cloud-native services for specific AI/ML or enterprise workloads

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sla-te/copilot-converter multi-cloud-architecture

For use in Claude.ai and ChatGPT

Download Skill