# System Architecture

## Infrastructure Overview

### VM Specifications
| VM | IP | CPU | RAM | Storage | Purpose |
|----|----|----|-----|---------|---------|
| Orchestrator | 192.168.100.87 | 4 vCPU | 16GB | 32GB | Main automation hub |
| AI Processor | 192.168.100.86 | 8 vCPU | 56GB | 500GB | Ollama AI processing |
| Elasticsearch | 192.168.100.85 | 4 vCPU | 32GB | 3.4TB | NetFlow analytics |
| Proxmox Host | 192.168.100.75 | - | 128GB | - | Hypervisor & NFS |

### Network Topology
All VMs connected via:
- Management Network: 192.168.100.0/24
- NFS Shared Storage: /shared/ai-gitops
- Gitea Webhooks: Port 5000

### Data Flow
1. NetFlow Data (850k+ flows/day) → Elasticsearch
2. Orchestrator queries every 60 minutes
3. Smart triggers detect anomalies
4. AI Processor generates configs using llama2:13b
5. Auto PR creation in Gitea
6. Webhook triggers deployment on merge
7. Feedback loop for AI learning

## Shared Storage Structure
Mount: 192.168.100.75:/mnt/ai-gitops → /shared/ai-gitops

Directory purposes:
- requests/ - AI processing queue
- responses/ - Generated configurations
- feedback/ - PR feedback for learning
- learning/ - Pattern recognition data
- state/ - System state tracking
- configs/ - Current SRX configurations