Multi Cloud Architecture

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by wshobson · vlatest · Repository

This skill designs robust, scalable multi-cloud architectures for optimal performance and resilience across diverse environments.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add multi-cloud-architecture npx -- -y @trustedskills/multi-cloud-architecture
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "multi-cloud-architecture": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/multi-cloud-architecture"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill assists in designing robust and scalable multi-cloud architectures across AWS, Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI). It provides a decision framework and service comparison patterns to enable informed choices about cloud services and reduce vendor lock-in. The skill focuses on identifying equivalent offerings and best-of-breed selections for compute, storage, and database workloads.

When to use it

  • Designing multi-cloud strategies from the ground up.
  • Planning migrations between different cloud providers.
  • Selecting appropriate cloud services for specific application workloads.
  • Implementing architectures that are not tied to a single cloud vendor.
  • Optimizing costs across multiple cloud providers.

Key capabilities

  • Detailed service mapping tables comparing offerings across AWS, Azure, GCP, and OCI (compute, storage, database).
  • Four core multi-cloud architectural patterns: single provider with disaster recovery, best-of-breed selection, geographic distribution, and cloud-agnostic abstraction layers.
  • Identification of cloud-agnostic alternatives using technologies like Kubernetes, PostgreSQL, Apache Kafka, and Redis.
  • Cost comparison and optimization strategies including reserved capacity, spot instances, right-sizing, and lifecycle policies.
  • Guidance on phased migration strategies from assessment to optimization.

Example prompts

  • "Compare the compute services available across AWS, Azure, GCP, and OCI for running containerized applications."
  • "What are some options for cloud-agnostic object storage?"
  • "Describe a multi-cloud architecture pattern that prioritizes disaster recovery."

Tips & gotchas

  • The skill provides guidance on service selection; it's up to the user to evaluate specific requirements and make final decisions.
  • Focuses on architectural patterns and comparisons, not implementation details of individual services.
  • Consider cloud-agnostic tools like Kubernetes when aiming for portability across providers.

Tags

🛡️

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Details

Version
vlatest
License
Author
wshobson
Installs
2.5k

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Passed automated security scans.