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---
title: DevOps Fortune Teller
emoji: ๐Ÿ”ฎ
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
---
# ๐Ÿ”ฎ DevOps Fortune Teller
AI-Powered Predictive Log Analysis for DevOps Teams
## ๐Ÿš€ 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.
## โœจ Features
- ๐Ÿค– **AI-Powered Analysis**: Uses transformer-based sentiment analysis
- ๐ŸŽฏ **Pattern Detection**: Identifies memory issues, connection problems, performance degradation, and more
- ๐Ÿ“Š **Health Scoring**: Get an instant health score for your deployment
- ๐Ÿ”ฎ **Predictive Insights**: Forecasts issues 2-4 hours before they become critical
- ๐Ÿ’ก **Actionable Recommendations**: Get specific advice on how to fix detected issues
## ๐ŸŽจ 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
## ๐Ÿ“‹ 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
## ๐Ÿ”ง 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!
## ๐Ÿ“ 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
```
## ๐Ÿ› ๏ธ Tech Stack
- **Gradio**: Beautiful web interface
- **Transformers**: AI-powered sentiment analysis
- **Pattern Recognition**: Custom algorithms for DevOps-specific issues
## ๐ŸŽฏ Perfect For
- Post-deployment health checks
- Production incident investigation
- Proactive monitoring
- Team standups and retrospectives
## ๐Ÿ“„ License
MIT License - Feel free to use and modify!
---
Built with โค๏ธ for DevOps teams who want to stay ahead of issues