YugabyteDB Log Analyzer

YugabyteDB Log Analyzer is a tool for uploading, analyzing, and visualizing YugabyteDB log files. It provides a web interface to view reports, histograms, GFlags, and related diagnostic information.

Features

• Upload YugabyteDB log bundles and generate analysis reports
• View detailed report data, histograms, and GFlags
• Search and filter reports by cluster, org, or case ID
• Explore related reports and Log Details

Project Structure

• log_analyzer.py – Main log analysis logic
• patterns_lib.py – Log pattern matching library
• lib/ – Utility modules for log analysis
• webserver/app.py – Flask web server for the UI and API
• webserver/static/ – Frontend assets (JS, CSS)
• webserver/templates/ – HTML templates

Getting Started

Prerequisites

• Python 3.10+
• Flask
• psycopg2 (for PostgreSQL database)

Installation

1. Clone the repository:

   git clone <repo-url>
   cd log_analyzer

2. Install dependencies:

   pip install -r requirements.txt

Running the Web Server

cd webserver
python app.py

The server will start at http://localhost:5000.

Uploading a Report

You can upload a report via the web UI or using the API:

curl -X POST -H "Content-Type: application/json" -d @report.json http://localhost:5000/upload

API Reference

See API_ENDPOINTS.md for a detailed list of API endpoints and example usage.

Configuration

• db_config.json – Database configuration
• log_conf.yml – Log analysis configuration

License

MIT License

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For questions or contributions, please open an issue or pull request.