| name | cloud-migration-planning |
| description | Plan and execute cloud migrations with assessment, database migration, application refactoring, and cutover strategies across AWS, Azure, and GCP.
|
Cloud Migration Planning
Table of Contents
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:
from enum import Enum
from typing import Dict, List, Tuple
from dataclasses import dataclass
class MigrationStrategy(Enum):
LIFT_AND_SHIFT = "lift_and_shift"
REPLATFORM = "replatform"
REFACTOR = "refactor"
REPURCHASE = "repurchase"
RETIRE = "retire"
class ApplicationComplexity(Enum):
LOW = 1
MEDIUM = 2
HIGH = 3
@dataclass
class ApplicationAssessment:
name: str
complexity: ApplicationComplexity
dependencies: List[str]
estimated_effort: int
business_criticality: int
current_costs: float
// ... (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
