How does this skill help avoid vendor lock-in?

It provides patterns for cloud-agnostic abstraction using tools like Kubernetes, PostgreSQL, and S3-compatible APIs, allowing you to move workloads between providers more easily.

Is this skill useful for migration projects?

Absolutely. It includes a dedicated four-phase migration strategy covering assessment, pilot programs, incremental migration, and post-migration optimization.

Which cloud providers does this skill support?

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

Can this skill help with cloud cost management?

Yes, it includes a cost comparison framework and optimization strategies such as right-sizing, spot instances, and leveraging reserved capacity across different clouds.

Multi-Cloud Architecture Designer

Name: Multi-Cloud Architecture Designer
Author: amurata

byamurata

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Infraestructura en la Nube

Architects resilient, cloud-agnostic systems by providing a comprehensive decision framework for integrating services across AWS, Azure, and Google Cloud Platform.

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The Multi-Cloud Architecture skill empowers Claude to design sophisticated cross-provider infrastructures that mitigate vendor lock-in and optimize for cost and performance. It provides detailed service mapping across the major cloud providers (AWS, Azure, and GCP), offers proven architectural patterns for disaster recovery and geographic distribution, and guides users through a structured four-phase migration strategy. By leveraging cloud-agnostic abstraction layers and best practices for Infrastructure as Code, this skill helps developers build scalable, future-proof environments tailored to specific workload requirements.

Características Principales

Detailed architectural patterns for disaster recovery and best-of-breed selection
Comprehensive cost optimization strategies for multi-cloud environments
3 GitHub stars
Cloud-agnostic abstraction guidance using Kubernetes and open-source alternatives
Cross-provider service mapping for compute, storage, and database layers
Structured migration frameworks from assessment to post-migration optimization

Casos de Uso

Building a cloud-agnostic infrastructure stack to avoid long-term vendor lock-in
Designing a high-availability disaster recovery plan across separate cloud providers
Evaluating and selecting the most cost-effective services for specific regional workloads

Acerca de

Características Principales

Detailed architectural patterns for disaster recovery and best-of-breed selection
Comprehensive cost optimization strategies for multi-cloud environments
3 GitHub stars
Cloud-agnostic abstraction guidance using Kubernetes and open-source alternatives
Cross-provider service mapping for compute, storage, and database layers
Structured migration frameworks from assessment to post-migration optimization

Casos de Uso

Building a cloud-agnostic infrastructure stack to avoid long-term vendor lock-in
Designing a high-availability disaster recovery plan across separate cloud providers
Evaluating and selecting the most cost-effective services for specific regional workloads