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Haroon K M
Haroon K M

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MomentoMonto

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MomentoMonto - Server Monitor & Live Response Time Analyzer

Image 2025-12-22 at 10 50 59 PM

A Realtime Server Monitoring System with Analysis of Response Time Insights which Reduces the Overwhelming CMD Interface for Devs to Monitor their Server in Realtime while Deploying or in their Test Instances

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🛡️ Created by Cisco Certified Data Analyst

data-analytics-essentials

Skills

Dashboard, Data Analysis, Data Storytelling, Data Visualization, Excel, SQL, Tableau


Overview

MomentoMonto is a server monitoring and response time analysis tool designed to track, analyze, and visualize the performance of web servers in real-time.

It helps developers, system administrators, and network engineers ensure high availability, stability, and speed of their online services.


Key Features

  • Real-Time Monitoring: Continuously checks server uptime and performance.
  • Response Time Tracking: Measures latency and displays detailed analysis.
  • Uptime Visualization: View server stability through charts and metrics.
  • Multi-Server Support: Monitor multiple endpoints simultaneously.
  • Smart Alerts (optional): Detect downtime or slow responses automatically.
  • Modern UI: Interactive Streamlit dashboard for easy data visualization.

Architecture & Workflow

MomentoMonto uses Python and Streamlit to periodically send HTTP requests to the configured servers and record:

  • Response time (in milliseconds)
  • Server availability (Up/Down status)
  • Request timestamps

The collected data is visualized with charts and response trends for intuitive performance tracking.


Tech Stack

Category Technology
Language Python
Framework Streamlit
Libraries requests, time, datetime, matplotlib, re
License Apache 2.0

Contributing

Contributions are always welcome!

If you'd like to enhance MomentoMonto (for example, by adding log exports, push notifications, or cloud sync), feel free to:

  1. Open an issue
  2. Submit a pull request

Author

haroontrailblazer

🔗 GitHub: haroontrailblazer


License

This project is licensed under the Apache License 2.0

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