Case Study: Service Monitoring Application

Overview

I began developing this application when several clients faced issues with service uptime. These issues stemmed from frequent database connectivity problems, stopped services, errors in application logs, and high CPU/memory usage. Inspired by these challenges, I built a monitoring solution that enables clients to track these metrics in real-time and receive instant notifications via Telegram and Slack.

Motivation and Solution

The need for this application arose as client applications experienced downtime and performance issues due to:

To solve these issues, I created a web application capable of:

System Architecture

The application connects to each client’s backend services through API calls, actively monitoring database queries, log files, and service status. It returns a real-time status dashboard showing CPU and memory usage, uptime, and more.

System Architecture

Features

Real-Time Dashboard

Displays real-time updates on CPU, memory usage, service uptime, and more for each client.

Notifications

Sends instant alerts via Telegram and Slack for critical events.

Conclusion

This application has significantly reduced downtime and improved transparency for clients, offering them a dependable way to monitor the health of their systems in real-time. The next phase includes enhancing customization options for each client’s needs and expanding integration options for notifications.