Can this skill assist with cost management?

Yes, it includes strategies for optimizing compute and storage costs, comparing pricing models like Reserved Instances, Spot VMs, and Committed Use Discounts across providers.

How does this help with vendor lock-in?

It emphasizes cloud-agnostic abstractions like Kubernetes, S3-compatible storage, and open-source database engines, ensuring your architecture remains portable across different vendors.

Is this suitable for disaster recovery planning?

Absolutely. It outlines specific multi-cloud patterns for disaster recovery, including database replication across clouds and automated failover strategies.

Which cloud providers are covered by this skill?

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

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: Krosebrook

byKrosebrook

•

Cloud Infrastructure

Designs resilient, cloud-agnostic architectures using a cross-provider decision framework for AWS, Azure, and GCP.

About

This skill empowers Claude to architect complex systems across multiple cloud providers by leveraging a standardized framework for service selection and integration. It provides detailed comparisons between AWS, Azure, and GCP offerings for compute, storage, and database services, allowing developers to implement best-of-breed strategies and avoid vendor lock-in. Whether you are designing for disaster recovery, optimizing costs across providers, or migrating workloads, this skill provides the patterns and cloud-agnostic abstraction layers needed to build a unified, scalable infrastructure.

Key Features

Strategic multi-cloud patterns for disaster recovery and geographic distribution
Cloud-agnostic abstraction guidance using Kubernetes and Terraform
Comprehensive service mapping across AWS, Azure, and GCP ecosystems
Detailed cost optimization and pricing comparison frameworks
Phase-based cloud migration strategies from assessment to optimization
1 GitHub stars

Use Cases

Designing high-availability architectures with failover across different cloud providers
Selecting the most cost-effective and performant services for specific workload types
Planning and executing migrations between major cloud platforms with minimal downtime

About

Key Features

Strategic multi-cloud patterns for disaster recovery and geographic distribution
Cloud-agnostic abstraction guidance using Kubernetes and Terraform
Comprehensive service mapping across AWS, Azure, and GCP ecosystems
Detailed cost optimization and pricing comparison frameworks
Phase-based cloud migration strategies from assessment to optimization
1 GitHub stars

Use Cases

Designing high-availability architectures with failover across different cloud providers
Selecting the most cost-effective and performant services for specific workload types
Planning and executing migrations between major cloud platforms with minimal downtime