Cloud Migration Planning

Table of Contents

• [Overview](#overview)
• [When to Use](#when-to-use)
• [Quick Start](#quick-start)
• [Reference Guides](#reference-guides)
• [Best Practices](#best-practices)

Overview

Cloud migration planning involves assessing current infrastructure, designing migration strategies, executing migrations with minimal downtime, and validating outcomes. Support lift-and-shift, replatforming, and refactoring approaches for smooth cloud adoption.

When to Use

• Moving from on-premises to cloud
• Cloud platform consolidation
• Legacy system modernization
• Reducing data center costs
• Improving scalability and availability
• Meeting compliance requirements
• Disaster recovery enhancement
• Technology refresh initiatives

Quick Start

Minimal working example:

# Cloud migration assessment tool
from enum import Enum
from typing import Dict, List, Tuple
from dataclasses import dataclass

class MigrationStrategy(Enum):
    LIFT_AND_SHIFT = "lift_and_shift"  # Rehost
    REPLATFORM = "replatform"          # Rehost with optimizations
    REFACTOR = "refactor"              # Rebuild for cloud
    REPURCHASE = "repurchase"          # Switch to SaaS
    RETIRE = "retire"                  # Decommission

class ApplicationComplexity(Enum):
    LOW = 1
    MEDIUM = 2
    HIGH = 3

@dataclass
class ApplicationAssessment:
    name: str
    complexity: ApplicationComplexity
    dependencies: List[str]
    estimated_effort: int  # days
    business_criticality: int  # 1-10
    current_costs: float  # annual
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Perform thorough discovery and assessment
• Run parallel systems during transition
• Test thoroughly before cutover
• Have rollback plan ready
• Monitor closely post-migration
• Document all changes
• Train operations team
• Maintain previous systems temporarily

❌ DON'T

• Rush migration without planning
• Migrate without testing
• Forget rollback procedures
• Ignore dependencies
• Skip stakeholder communication
• Migrate everything at once
• Forget to update documentation