Is cost optimization covered?

Yes, the skill includes strategies for leveraging reserved capacity, spot instances, and serverless architectures to minimize spend across different providers.

How does this help with vendor lock-in?

It provides a framework for cloud-agnostic abstraction, recommending tools like Kubernetes, Terraform, and S3-compatible APIs to ensure code and infrastructure can move between providers.

Which cloud providers are supported by this skill?

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

Can I use this for cloud migration projects?

Absolutely. It includes a structured four-phase migration strategy: Assessment, Pilot, Migration, and Optimization.

Does it include specific service comparisons?

Yes, it provides detailed mappings for compute (EC2/VM/CE), storage (S3/Blob/Cloud Storage), and database (RDS/SQL/Cloud SQL) services across all three platforms.

Multi-Cloud Architecture Architect

Name: Multi-Cloud Architecture Architect
Author: HermeticOrmus

byHermeticOrmus

Infraestructura en la Nube

Designs and implements resilient, vendor-neutral architectures across AWS, Azure, and GCP using proven decision frameworks.

Acerca de

This skill provides Claude with a comprehensive framework for designing multi-cloud systems, enabling developers to map services across major providers, avoid vendor lock-in, and select best-of-breed offerings for specific workloads. It guides users through complex architectural decisions, including disaster recovery patterns, geographic distribution, and cost optimization strategies, while emphasizing cloud-agnostic abstractions like Kubernetes and open-source database engines to ensure long-term flexibility and resilience.

Características Principales

0 GitHub stars
Cross-provider service mapping for AWS, Azure, and GCP
Comparative cost analysis and resource right-sizing strategies
Multi-phase cloud migration planning from assessment to optimization
Pattern-based architecture design for disaster recovery and geo-distribution
Cloud-agnostic implementation strategies using Kubernetes and open-source tools

Casos de Uso

Designing vendor-neutral infrastructure to mitigate long-term lock-in risks
Selecting the most cost-effective services for globally distributed workloads
Architecting high-availability disaster recovery plans across multiple cloud providers

Acerca de

Características Principales

0 GitHub stars
Cross-provider service mapping for AWS, Azure, and GCP
Comparative cost analysis and resource right-sizing strategies
Multi-phase cloud migration planning from assessment to optimization
Pattern-based architecture design for disaster recovery and geo-distribution
Cloud-agnostic implementation strategies using Kubernetes and open-source tools

Casos de Uso

Designing vendor-neutral infrastructure to mitigate long-term lock-in risks
Selecting the most cost-effective services for globally distributed workloads
Architecting high-availability disaster recovery plans across multiple cloud providers