AI-Accelerated Cloud Migration
Intelligent Migration with Machine Learning Optimization
Accelerate your cloud journey with AI-powered migration strategies. Our intelligent approach uses machine learning to optimize migration paths, predict performance outcomes, and ensure your migrated systems are enhanced with AI capabilities.
AI-Enhanced Migration Methodology
Intelligent Discovery & Assessment
AI-powered application dependency mapping
Machine learning-based workload classification
Automated migration complexity scoring
Predictive performance modeling
Smart Migration Planning
ML-optimized migration wave planning
Intelligent resource sizing recommendations
AI-driven risk assessment and mitigation
Automated migration timeline optimization
Automated Migration Execution
AI-assisted data migration with validation
Intelligent cutover orchestration
Real-time performance monitoring
Automated rollback capabilities
Our Multi-Path Migration Strategy with AI Enhancement
Relocate
AI-driven discovery maps app dependencies and lift-and-shift priorities
ML risk scoring schedules cutovers for seconds-level downtime
Post-migration anomaly detection flags cost or performance drift immediately
Refactor
Decompose monoliths into event-driven microservices with Bedrock agents inside
DevSecOps pipelines use ML code analysis and config-drift detection
Lakehouse architecture feeds real-time AI insights across the enterprise
Repurchase
Swap legacy components for SaaS platforms that embed generative-AI workflows
Leverage AWS Marketplace private offers for rapid, flexible licensing
Shift maintenance to vendors and reinvest savings in new ML innovation
Rehost with Smart Infrastructure
Continuous AI right-sizing on EC2 / Graviton / GPU fleets trims spend and latency
Predictive self-healing corrects drift before users feel it
ML cost guardrails alert on spend spikes in real time
Re-platform with ML Optimization
Move to ML-ready managed services (Aurora ML, Redshift ML, SageMaker)
Serverless inference endpoints auto-scale for bursty generative workloads
Feature stores + vector caches deliver sub-100 ms AI experiences