RADCloud
RADCloud
Architecture Deep Dive
Technical Deep Dive

RADCloud Architecture

Multi-agent AI system, 5 specialized agents, cross-cloud intelligence, and the technology powering Day 0 optimization.

Explore
System Architecture

Multi-Agent AI System

Inputs → AI Brain → Specialized Agents → Deployment-Ready Outputs

Inputs
  • GCP configurations
  • 12 months billing data
  • Committed usage data
  • AWS account access
AI Core (Claude API)
  • LLM reasoning engine
  • Shared context store
  • Usage pattern analysis
  • Architectural reasoning
Outputs
  • Migration runbooks
  • AWS Terraform / IaC
  • Cost optimization plans
  • Real-time monitoring
Specialized Agents

5 AI Agents Working in Parallel

Each agent is specialized for a critical phase of migration + FinOps optimization.

RADCloud Core
01 Discovery
Discovery Agent

Scans all GCP resources, configs, IAM, billing data, and usage patterns.

02 Mapping
Mapping Agent

Maps every GCP service to its optimal AWS equivalent with compatibility scores.

03 Risk
Risk Agent

Detects deployment risks and generates confidence-ranked rollback plans.

04 FinOps Intel
FinOps Intel Agent

Pre-calculates Reserved Instances, Savings Plans, and right-sized compute.

05 Watchdog
Watchdog Agent

Post-migration monitoring with anomaly detection and auto-remediation.

Tech Stack

Layered Architecture

Three layers of technology powering RADCloud's intelligence.

Orchestration & Ingestion Layer 1
gcloud CLI Parsing Terraform / YAML Parsing AWS Account Connector Multi-Agent Orchestrator
Intelligence Core Layer 2
Claude API Structured Prompt Chain Shared Context Store Contextual Reasoning Engine
Data & Cost Analytics Layer 3
AWS Pricing API AWS Cost Explorer API AWS Compute Optimizer Usage Pattern Analyzer
Outputs

What RADCloud Generates

Deployment-ready code, risk alerts, and automated cost optimizations.

Infrastructure Code (Terraform) Generating... 


            

          


          
          

            

              
              Risk Alerts
            

            

              
    
                
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                    Incompatible Service Detected
    
                    GCP Cloud Spanner has no direct AWS equivalent. Suggested: Amazon Aurora Global Database with manual schema migration.
                  
    
                
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                    Expiring Commitment
    
                    GCP committed use discount expires in 45 days. RADCloud pre-calculated AWS Reserved Instance to replace it.
                  
    
                
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                    Data Migration Safe
    
                    All Cloud Storage → S3 transfers validated. Zero-downtime sync available. Formats 100% compatible.
                  
    
                
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              Auto FinOps Fixes
               Generating...
            

            

              

            

          

        

      

    


    
    

      

        

          

          

          

        

        

          24-Hour Sprint
          
From Architecture to Prototype in 24 Hours

          
A 24-hour execution sprint transformed the conceptual architecture into a functional prototype.

        


        

          

            
Hours 1–6

            
Foundation

            
Stand up Claude API connections; build the core GCP Terraform/YAML parser.

          


          

            
Hours 6–12

            
Intelligence

            
Develop the Discovery and Mapping Agents; establish stable hooks into the AWS Pricing API.

          


          

            
Hours 12–18

            
FinOps

            
Build and train the FinOps Intel Agent to execute accurate RI and right-sizing calculations based on historical data.

          


          

            
Hours 18–24

            
Execution

            
Finalize UI dashboard mockups, tune the Risk Agent parameters, and generate the end-to-end demonstration.

          

        

      

    


    
    

      

        

          

          

          

        

        

          Team
          
The RADCloud Team

          
Built by 4 engineers in 24 hours.

        


        

          

            
AB

            
Ahad

            
AI Engineer

            
LLM integration, code generation, multi-agent architecture, Claude API

          


          

            
AP

            
Anjali

            
Backend Engineer

            
Cloud orchestration, agent coordination, API integration, data pipeline

          


          

            
DG

            
Divisha

            
Cloud Engineer

            
Cost optimization, infrastructure analysis, AWS pricing, compute right-sizing

          


          

            
RG

            
Ryan

            
Frontend Developer

            
UI/UX design, dashboard visualization, website implementation