AI-powered multi-agent infrastructure analysis platform that reviews Terraform configurations and operational metrics to identify configuration drift, resource waste, optimization opportunities, and infrastructure improvements through AI-assisted reporting.
Hugging Face Space: https://ztothez-azure-optimizer.hf.space/
Azure Optimizer is a modern infrastructure analysis dashboard inspired by SOC-style operational tooling and AI-assisted cloud optimization workflows.
The project combines:
- infrastructure configuration analysis
- operational metric analysis
- AI-assisted reporting
- multi-agent orchestration
- interactive React dashboard visualization
The UI was designed with a dark enterprise/SOC aesthetic inspired by modern cloud security and infrastructure platforms.
- Multi-agent infrastructure analysis workflow
- Terraform configuration inspection
- Operational telemetry visualization
- Infrastructure health scoring
- Cost optimization recommendations
- AI-assisted audit reporting
- Interactive React/Next.js dashboard
- Hugging Face Space deployment support
- Demo-mode backend simulation
The dashboard visualizes:
- resource inventory
- infrastructure health
- CPU / memory / disk / bandwidth telemetry
- issue severity distribution
- optimization recommendations
- recent environment analysis
- infrastructure findings
- operational scoring
- React
- Next.js
- TypeScript
- Tailwind CSS
- Python
- Anthropic API
- Multi-Agent Workflows
- Terraform Analysis
- JSON Metrics Pipeline
- Docker
- Hugging Face Spaces
npm install
npm run devOpen:
http://localhost:3000The UI runs in demo mode by default.
To connect a backend API:
NEXT_PUBLIC_API_BASE=http://localhost:8000 npm run devExpected API response:
{
"score": 78,
"resources": 142,
"issues": 28,
"savings": 3240,
"findings": [],
"report": "..."
}This project is configured for Hugging Face Docker Spaces.
Metadata:
title: Azure Optimizer
emoji: ☁️
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860The goal of Azure Optimizer is to explore how AI-assisted infrastructure analysis and operational telemetry can be combined into practical engineering workflows for cloud optimization, governance analysis, and operational visibility.