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multi-cloud-architecture

Designs multi-cloud architectures with AWS, Azure, and GCP service selection patterns and integration strategies.

2|Updated Jan 18, 2026
Search Tags:#devops#aws#gcp#azure#cloud architecture#multi-cloud#cloud migration
One-click install
npx skills add https://github.com/as4584/antigravity-skills --skill multi-cloud-architecture-as4584
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-cloud-architecture
Source: https://github.com/as4584/antigravity-skills/tree/main/agents-wshobson/plugins/cloud-infrastructure/skills/multi-cloud-architecture
Command: npx skills add https://github.com/as4584/antigravity-skills --skill multi-cloud-architecture-as4584

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you design and implement robust multi-cloud architectures, avoiding vendor lock-in and leveraging the best services from AWS, Azure, and GCP.

Core Features & Use Cases

  • Service Comparison: Detailed comparison of compute, storage, and database services across major cloud providers.
  • Architectural Patterns: Explores strategies like single-provider DR, best-of-breed, geographic distribution, and cloud-agnostic abstraction.
  • Use Case: You need to build a new application that requires high-performance AI/ML capabilities (GCP) and robust enterprise integration (Azure), while leveraging cost-effective general compute (AWS). This skill will guide you in designing such a best-of-breed architecture.

Quick Start

Use the multi-cloud-architecture skill to design a best-of-breed architecture for a new web application leveraging GCP for AI/ML and AWS for compute.

Frequently Asked Questions about multi-cloud-architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is multi-cloud architecture and when do I need it for my applications?▼

Multi-cloud architecture utilizes decision frameworks and patterns for service selection across AWS, Azure, and GCP. You need it when building cloud-agnostic systems, migrating between providers, or optimizing costs while avoiding vendor lock-in.

How do I design a best-of-breed multi-cloud architecture combining AWS, Azure, and GCP?▼

Design best-of-breed architectures by applying decision frameworks and architectural patterns to select optimal services across AWS, Azure, and GCP. Leverage specific providers for specialized capabilities like GCP for AI/ML and Azure for enterprise integration.

What are the common architectural patterns for building cloud-agnostic systems?▼

Common multi-cloud patterns include single-provider disaster recovery, best-of-breed service selection, geographic distribution, and cloud-agnostic abstraction. These strategies address integration challenges and optimize resilience across AWS, Azure, and GCP.

How do I compare compute, storage, and database services across AWS, Azure, and GCP?▼

Compare compute, storage, and database services across AWS, Azure, and GCP using detailed service comparisons to evaluate performance and cost. This analysis informs architectural decisions and helps optimize expenses when selecting the best provider for each workload.

Can I migrate my existing workloads between cloud providers without downtime?▼

Migrating between cloud providers utilizes architectural patterns for cloud-agnostic abstraction and service integration. This skill provides decision frameworks to address migration challenges and optimize costs during the transition across AWS, Azure, and GCP.

What are the limitations of using a multi-cloud strategy for application deployment?▼

Multi-cloud architectures face challenges in building cloud-agnostic systems and managing complex service integrations across AWS, Azure, and GCP. Limitations include increased operational complexity and potential cost optimization difficulties when distributing workloads across multiple providers.

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