Which cloud providers are supported?

The skill includes detailed mappings and comparison patterns for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

How does this skill help avoid vendor lock-in?

It provides guidance on using cloud-agnostic abstraction layers, such as Kubernetes and S3-compatible storage, and suggests open-source alternatives to proprietary cloud services.

Can this skill assist with cloud cost management?

Yes, it includes comprehensive cost comparison factors and optimization strategies, such as leveraging spot instances and committed use discounts across different providers.

What is the Multi-Cloud Architecture skill?

It is a specialized capability for Claude Code that provides frameworks, patterns, and service comparisons to help architects design and manage systems across multiple cloud providers like AWS, Azure, and GCP.

Multi-Cloud Architecture

Name: Multi-Cloud Architecture
Author: HermeticOrmus

byHermeticOrmus

Infraestructura en la Nube

Architects and integrates distributed systems across AWS, Azure, and GCP using standardized decision frameworks and service comparisons.

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This skill provides a comprehensive framework for designing cloud-agnostic systems and managing complex multi-cloud environments. It enables Claude to compare services across major providers (AWS, Azure, GCP), implement disaster recovery patterns, and select best-of-breed services for specific workloads. By leveraging infrastructure abstraction layers and cost-optimization strategies, it helps organizations avoid vendor lock-in and build resilient, geographically distributed applications with high availability and optimized spend.

Características Principales

Detailed cost optimization and comparison strategies
Multi-cloud disaster recovery and geographic distribution patterns
0 GitHub stars
Cross-provider service mapping for AWS, Azure, and GCP
Structured 4-phase migration framework for cloud workloads
Cloud-agnostic architecture design using Kubernetes and open-source tools

Casos de Uso

Designing a resilient disaster recovery strategy across two different cloud providers.
Comparing compute and storage costs to optimize spend across multiple cloud platforms.
Migrating existing AWS infrastructure to a cloud-agnostic model using Terraform.

Acerca de

Características Principales

Detailed cost optimization and comparison strategies
Multi-cloud disaster recovery and geographic distribution patterns
0 GitHub stars
Cross-provider service mapping for AWS, Azure, and GCP
Structured 4-phase migration framework for cloud workloads
Cloud-agnostic architecture design using Kubernetes and open-source tools

Casos de Uso

Designing a resilient disaster recovery strategy across two different cloud providers.
Comparing compute and storage costs to optimize spend across multiple cloud platforms.
Migrating existing AWS infrastructure to a cloud-agnostic model using Terraform.