🏗️ A/B Testing System Architecture

Graph RAG Model Performance Testing & Analysis Platform

📊 Dashboard ⚙️ Configurations 🏃 Executions 📈 Results 🏗️ Architecture

🚀 System Overview

Production-ready A/B testing platform for Graph RAG systems with parallel processing, comprehensive monitoring, and automated analysis.

⚙️
Test Configuration
Model & Parameter Setup
🚀
Cloud Workflows
Parallel Execution
🤖
Model Testing
RAG Query Processing
📊
Results Analysis
Performance Metrics
📈
Dashboard
Real-time Monitoring
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Avg Response Time
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Success Rate
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Total Tests Run
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Models Tested

⚡ Processing Pipeline

Automated test execution with intelligent workload distribution, timeout protection, and comprehensive error handling.

📋
Configuration Analysis
Analyze test complexity and estimate execution time
⚖️
Workload Distribution
Intelligently split tests across parallel workers
☁️
Cloud Workflows Execution
Deploy to Google Cloud Workflows for scalable processing
🔄
Parallel Processing
Execute test batches concurrently with timeout protection
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Results Aggregation
Combine results from all workers with validation

🎯 Smart Processing

  • Automatic workload estimation
  • Intelligent worker allocation
  • Configurable batch sizes
  • Progress monitoring
  • Real-time status updates
  • Debug mode available

🛡️ Error Management

  • 60-second timeout protection
  • Exponential backoff retry
  • Error type classification
  • Graceful failure handling
  • Comprehensive logging
  • Session recovery

🔧 Technology Stack

Modern cloud-native architecture built for scalability, reliability, and performance monitoring.

🐍
Python Flask
Web framework & API
☁️
Google Cloud Workflows
Parallel processing
🤖
Gemini Models
AI model testing
🔥
Firestore
NoSQL database
📊
SQLite
Local data storage
🏃
Cloud Run
Serverless deployment

✨ Advanced Features

Comprehensive testing capabilities with enterprise-grade monitoring, analytics, and reliability features.

🧪 Test Management

  • Multiple test configurations
  • Think mode support
  • User type variations
  • Custom question sets
  • Iteration control
  • Delay configuration

📊 Monitoring & Analytics

  • Real-time execution tracking
  • Performance metrics
  • Success rate analysis
  • Response time statistics
  • Model comparison
  • Historical trends

⚡ Performance

  • Parallel processing
  • Auto-scaling workers
  • Optimized batch sizes
  • Timeout protection
  • Resource optimization
  • Memory efficiency

🛡️ Reliability

  • Error recovery
  • Retry mechanisms
  • Health monitoring
  • Data persistence
  • Backup systems
  • Graceful degradation

🎯 Current System Status

Live monitoring of system health, performance metrics, and operational status.

🟢
Healthy
System Status
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Configurations
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Active Tests
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Recent Activity