Developed RabbitMQ Monitoring Dashboard with Flask

📅 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 session aimed to develop a real-time monitoring dashboard for RabbitMQ queues, inspired by Linux Dash, using Flask for backend and plain HTML/JavaScript for frontend.

Key Activities:

• Planned and executed the design of a lightweight RabbitMQ dashboard.
• Implemented backend using Flask to manage RabbitMQ and MongoDB data, including handling 404 errors and defining root routes.
• Developed API endpoints for displaying queue counts and managing MongoDB collections.
• Updated the /stats endpoint to use MongoHandler for better maintainability.
• Created frontend components in HTML/JavaScript to render data dynamically, including clickable MongoDB collections and structured table formats for RabbitMQ messages.
• Enhanced data processing on the backend to normalize data structures and truncate long strings.

Achievements:

• Successfully implemented a functional dashboard with dynamic data rendering and robust backend processing.
• Improved maintainability and abstraction in the Flask application.

Pending Tasks:

• Finalize frontend table redesign to handle nested data structures more efficiently.
• Further enhance the user interface for better user experience.