Agent Skills: Multi-Cloud Strategy

Design and implement multi-cloud strategies spanning AWS, Azure, and GCP with vendor lock-in avoidance, hybrid deployments, and federation.

UncategorizedID: aj-geddes/useful-ai-prompts/multi-cloud-strategy

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pnpm dlx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/HEAD/skills/multi-cloud-strategy

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skills/multi-cloud-strategy/SKILL.md

Skill Metadata

Name
multi-cloud-strategy
Description
>

Multi-Cloud Strategy

Table of Contents

Overview

Multi-cloud strategies enable leveraging multiple cloud providers for flexibility, redundancy, and optimization. Avoid vendor lock-in, optimize costs by comparing cloud services, and implement hybrid deployments with seamless data synchronization.

When to Use

  • Reducing vendor lock-in risk
  • Optimizing costs across providers
  • Geographic distribution requirements
  • Compliance with regional data laws
  • Disaster recovery and high availability
  • Hybrid cloud deployments
  • Multi-region application deployment
  • Avoiding single cloud provider dependency

Quick Start

Minimal working example:

# Multi-cloud compute abstraction
from abc import ABC, abstractmethod
from enum import Enum

class CloudProvider(Enum):
    AWS = "aws"
    AZURE = "azure"
    GCP = "gcp"

class ComputeInstance(ABC):
    """Abstract compute instance"""
    @abstractmethod
    def start(self): pass

    @abstractmethod
    def stop(self): pass

    @abstractmethod
    def get_status(self): pass

# AWS implementation
import boto3

class AWSComputeInstance(ComputeInstance):
    def __init__(self, instance_id, region='us-east-1'):
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Multi-Cloud Abstraction Layer | Multi-Cloud Abstraction Layer | | Multi-Cloud Kubernetes Deployment | Multi-Cloud Kubernetes Deployment | | Terraform Multi-Cloud Configuration | Terraform Multi-Cloud Configuration | | Data Synchronization across Clouds | Data Synchronization across Clouds |

Best Practices

✅ DO

  • Use cloud-agnostic APIs and frameworks
  • Implement abstraction layers
  • Monitor costs across clouds
  • Use Kubernetes for portability
  • Plan for data residency requirements
  • Test failover scenarios
  • Document cloud-specific configurations
  • Use infrastructure as code

❌ DON'T

  • Use cloud-specific services extensively
  • Create hard dependencies on one provider
  • Ignore compliance requirements
  • Forget about data transfer costs
  • Neglect network latency issues
  • Skip disaster recovery planning