Architecture Overview · Enterprise AI Delivery

Datacenter Migration Simulation & Planning System

AI-driven migration wave planning system that ingests an enterprise application portfolio, builds a dependency graph, runs a 5-agent simulation, and produces 6R disposition recommendations with TCO estimates across AWS and Azure.

AWS + Azure Dual-CloudGraph + Vector + AI AgentsHIPAA · PHI Scanning

Click any component to explore it in the full case study.

Input A
Application Portfolio Data
Clinical/COTS app roster with metadata: app owner, business criticality, life-safety flag, regulatory scope, dependency mapping, and known constraints
S3 / Azure Blob Upload
Input B
Infrastructure Inventory
RVTools vCenter export + historical performance data (CPU, RAM, storage, OS, power state) — same inputs as the migration analysis platform but fed into simulation engine
VM Telemetry · Structured
12-State ETL + Simulation Pipeline
Phase 1
Ingestion & Validation
CloudFormation / Bicep triggered upload validation — schema + dependency cycle checks
›
Phase 2
Normalization & PHI Mask
Step Functions / Durable Functions 12-state ETL. Macie/Purview PHI scan, Comprehend Medical tagging
›
Phase 3
Graph + Vector Index
Neptune / Cosmos Gremlin dependency graph. OpenSearch Serverless / Azure AI Search vector index
›
Phase 4
Agent Swarm Analysis
5 specialist agents + orchestrator. 8-rule disposition chain evaluating 6R framework
🔒
Pre-Deploy Validation + Audit Trail
Schema validation, dependency cycle detection, and orphaned app checks run before any simulation. All disposition decisions written to audit log.
Pre-deploy validationHIPAA/PHI scanningDependency cycle detectionAudit trail logging8-rule disposition chain5 agent specialists
Output A
6R Disposition Matrix
Per-application Retire/Rehost/Replatform/Refactor/Repurchase/Retain recommendations with confidence scores, TCO estimates, and evidence chain
Per-app · Ranked
Output B
Migration Priority Roadmap
Wave-planning output: migration complexity distribution, risk heatmap, dependency-safe sequencing, and prioritized initiative roadmap
Risk-ranked
Output C
5 Interactive Dashboards
6R Output · Data Quality · Custom Weights · ROI Engine · HITL Review. All HTML, live from analysis results
HTML · Stakeholder-ready
9/10
CFN / Bicep modules
5
Agent specialists
2
MCP servers
5
Interactive dashboards
StackAzure / AWS dual-cloudBicep / CloudFormationPython 3.11Cosmos DB GremlinAzure OpenAIAzure AI SearchDurable FunctionsNeptune + OpenSearch