GenAI-Powered Cloud Migration: The Future of Enterprise Transformation

Phase 1: Intelligent Discovery & Triage 

GenAI Solution: 

• Automatically generate dependency maps using LLM-powered code and configuration analysis 

• Risk scoring for each workload (compatibility, security, cost implications) 

• Natural language Q&A for legacy system interrogation (e.g., “Show all SAP interfaces”) 

Further Reading: AI-Enhanced Cloud Readiness 

Phase 2: AI-Optimized Migration Planning 

GenAI Solution: 

• Generate migration playbooks tailored to workload patterns 

• Simulate cost/performance trade-offs across AWS, Azure, GCP 

• Refactor policy-aware architecture (e.g., monolith-to-serverless migrations) 

Further Reading: Microsoft Azure Well-Architected Framework – Cost Optimization 

Phase 3: Self-Healing Execution 

GenAI Solution: 

• Real-time error resolution via LLM log analysis 

• Automated rollback if performance thresholds are breached 

• Predictive resource scaling during cutover windows 

Further Reading: Google Cloud – Site Reliability Engineering (SRE) with AI 

Phase 4: Continuous Cloud Optimization 

GenAI Solution:

• Detect anomalies in spend and usage 

• Auto-generate optimization tickets (e.g., “Resize underutilized RDS instances”) 

• Natural language FinOps reporting (e.g., “Explain our Azure spend spike last month”) 

Further Reading: FinOps Foundation – AI for Cloud Cost Optimization