multi-cloud-strategy

SKILL.md

Multi-Cloud Strategy

Table of Contents

Overview

When to Use

Quick Start

Reference Guides

Best Practices

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

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