Digital Twin
Enterprise Performance Monitoring
Live Performance Dashboard
⏳ Checking...
Production URL: https://digital-twin-vert-nu.vercel.app
Last Updated: 6:06:12 AM
📊 Key Performance Indicators
System Uptime⏱️
99.8%
Last 30 days
Avg Response Time⚡
850ms
End-to-end latency
Total Requests📈
1,247
Since deployment
🏥 Service Health Status
MCP Server
JSON-RPC 2.0 Endpoint
https://digital-twin-vert-nu.vercel.app/api/mcp
Upstash Vector DB
22 chunks, 1536 dimensions
Vector search <200ms average
Groq AI LLM
llama-3.3-70b-versatile
Response generation ~600ms
Vercel Edge Network
Global CDN deployment
Auto-scaling enabled
⚡ Real-Time Metrics
Active Connections
3
Error Rate
0.2%
Avg Query Time
<1s
Cache Hit Rate
85%
🔧 MCP Tools Performance
| Tool Name | Status | Avg Response | Success Rate |
|---|---|---|---|
query_digital_twin | ✓ Active | 720ms | 99.8% |
enhanced_query_digital_twin | ✓ Active | 1240ms | 99.5% |
context_aware_query | ✓ Active | 1180ms | 99.6% |
compare_rag_approaches | ✓ Active | 1850ms | 99.2% |
test_connections | ✓ Active | 340ms | 100% |
🏗️ Infrastructure Overview
Deployment Platform
- • Provider: Vercel Edge Network
- • Framework: Next.js 15.5.6 with App Router
- • Runtime: Node.js serverless functions
- • Regions: Auto-deployed to global edge locations
- • Auto-scaling: Enabled (0-1000 concurrent requests)
Data Layer
- • Vector DB: Upstash Vector (US East region)
- • Embeddings: 22 chunks, 1536 dimensions
- • LLM Provider: Groq Cloud (llama-3.3-70b)
- • Query Enhancement: llama-3.1-8b-instant
- • Response Caching: Edge caching enabled