---
title: DevOps Fortune Teller
emoji: 🔮
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
short_description: AI-Powered Predictive Log Analysis for DevOps
---

# 🔮 DevOps Fortune Teller

AI-Powered Predictive Log Analysis for DevOps Teams

## 🚀 What Does It Do?

DevOps Fortune Teller analyzes your deployment and application logs to **predict potential issues before they escalate**. Instead of just reading logs, it uses AI to detect patterns and forecast problems.

## ✨ Features

- 🤖 **AI-Powered Analysis**: Uses transformer-based sentiment analysis
- 🎯 **Pattern Detection**: Identifies memory issues, connection problems, performance degradation, and more
- 📊 **Health Scoring**: Get an instant health score for your deployment
- 🔮 **Predictive Insights**: Forecasts issues 2-4 hours before they become critical
- 💡 **Actionable Recommendations**: Get specific advice on how to fix detected issues

## 🎨 What Makes It Unique?

Unlike traditional log viewers, this tool:
- Treats logs as **predictive data** rather than just historical records
- Uses **AI sentiment analysis** to gauge system health
- Provides **confidence scores** on predictions
- Suggests **proactive actions** to prevent failures

## 📋 Supported Log Patterns

The tool detects:
- Memory pressure and OOM risks
- Connection timeouts and network issues
- Performance degradation (slow queries, high CPU)
- Lock contention and deadlocks
- Disk space exhaustion
- Cascading timeout failures

## 🔧 How to Use

1. Paste your logs (supports standard ERROR/WARN/INFO formats)
2. Click "Predict Issues"
3. Review predictions, health score, and recommendations
4. Take action before problems escalate!

## 📝 Example Log Format

```
2026-01-10 14:23:45 INFO Deployment started
2026-01-10 14:23:47 WARN Memory usage at 78%
2026-01-10 14:24:01 ERROR Connection timeout
```

## 🛠️ Tech Stack

- **Gradio**: Beautiful web interface
- **Transformers**: AI-powered sentiment analysis
- **Pattern Recognition**: Custom algorithms for DevOps-specific issues

## 🎯 Perfect For

- Post-deployment health checks
- Production incident investigation
- Proactive monitoring
- Team standups and retrospectives

## 📄 License

MIT License - Feel free to use and modify!

---

Built with ❤️ for DevOps teams who want to stay ahead of issues