🚀 A lightweight and efficient Log Analyzer Tool designed to process application logs, extract useful insights, and assist developers in debugging and monitoring systems.
Logs are one of the most important sources of information in any application. This tool helps in:
- 📄 Parsing log files
- 🔍 Filtering important information
⚠️ Detecting errors and anomalies- 📊 Understanding system behavior
👉 Log analysis is widely used in debugging, monitoring, and performance optimization.
- 📥 Read and process log files
- 🔍 Filter logs based on keywords / levels
⚠️ Identify errors and warnings- 📊 Extract meaningful insights
- ⚡ Fast and lightweight processing
- Python , FastAPI for Backend
- React Typescript for Frontend
- File handling
- Data parsing
- String processing
- Pattern matching
- Log processing pipeline
- Data extraction & filtering
- Input → Processing → Output flow
- Monitoring systems
- Debugging workflows
- Observability basics
This project was created to:
- Understand how log analysis works
- Build a real-world developer tool
- Practice backend/data processing
- Learn system-level thinking
- Add real-time log streaming 📡
- Add dashboard (charts & graphs) 📊
- Add alert system 🚨
- Add regex-based filtering
- Integrate with ELK stack
This project reflects my learning in backend tools, debugging systems, and DevOps concepts.
Sastik Kumar Das
If you find this useful, give it a ⭐ on GitHub!