📅 2025-01-26 — Session: Developed RabbitMQ Monitoring Dashboard with Flask
🕒 22:20–23:50
🏷️ Labels: Rabbitmq, Flask, Dashboard, Web Development, Mongodb
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to implement a real-time monitoring dashboard for RabbitMQ queues, inspired by Linux Dash, using Flask for the backend and JavaScript/HTML for the frontend.
Key Activities
- Dashboard Planning and Design: Initial plans were laid out for a lightweight RabbitMQ dashboard, focusing on frontend and backend integration.
- Flask Application Development: Implemented a Flask app to manage RabbitMQ and MongoDB, including endpoints for displaying queue counts and managing MongoDB collections.
- Error Fixes and Enhancements: Addressed a
404 Not Found
error by defining a root route and added an endpoint to serveindex.html
. - Frontend and Backend Integration: Made MongoDB collections clickable in the frontend, updated the backend for data processing, and redesigned the frontend table structure.
- Data Handling Improvements: Enhanced the display of RabbitMQ messages in a structured table format, implemented dynamic JSON parsing, and ensured proper data rendering.
Achievements
- Successfully developed a functional dashboard using Flask and JavaScript, capable of monitoring RabbitMQ queues and managing MongoDB collections.
- Improved data processing and display techniques, ensuring robust handling of various message formats.
Pending Tasks
- Further refine the frontend table design to optimize user interaction and data visualization.
- Consider additional features for real-time data updates and alerts.