fdhhhdjd

fdhhhdjd / class-prometheus-grafana-telegram-alerts

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🚨 This project is a complete, containerized monitoring environment designed to simulate real-world application metrics, visualize them, and automatically send alerts to a Telegram chat.

11
2
100% credibility
Found Mar 21, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A containerized demo stack that simulates application metrics, visualizes them in dashboards, and sends Telegram notifications for detected issues like error spikes.

How It Works

1
🕵️ Find the monitoring demo

You stumble upon this handy kit online that watches app performance and pings your phone if something goes wrong.

2
📥 Download it

Grab the project folder to your computer so you can set it up at home.

3
🛠️ Get setup tools

Install the free container runner tools that make everything work smoothly.

4
🚀 Launch the system

Fire up the whole monitoring world with one easy action, and wait a moment for it to wake up.

5
📱 Link your chat alerts

Swap in your personal chat details so notifications fly straight to your phone.

6
👀 Explore the dashboard

Open the colorful web view to watch live charts of speed, errors, and resource use.

7
🧪 Pretend there's trouble

Click a test button to fake an error or slowdown and see the numbers jump.

📲 Alert arrives!

Your phone buzzes with a clear message about the issue, plus a quick link to check details.

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Star Growth

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AI-Generated Review

What is class-prometheus-grafana-telegram-alerts?

This JavaScript-based Docker Compose stack spins up a full monitoring environment: a Node.js app simulating real-world metrics like errors and latency, Prometheus for scraping, cAdvisor for container resource tracking, and Grafana for dashboards and alerts pushed straight to Telegram. Developers get a ready-to-run demo of application alerts without wiring anything from scratch—hit docker compose up, visit localhost ports for the app (8081), Prometheus (9090), and Grafana (4000), then trigger /simulate-error to fire off Telegram notifications. It's a project github example that solves the hassle of bootstrapping observability for demos or learning.

Why is it gaining traction?

It stands out as a complete, pre-provisioned setup where Grafana dashboards and alert rules activate instantly, linking Prometheus data to Telegram bots for firing alerts on error spikes or slow responses—no manual config needed. The hook is testing end-to-end: simulate issues via app endpoints like /slow, watch metrics update in 10-30 seconds, and see polished HTML alerts land in chat. Compared to bare Prometheus/Grafana installs, this project github repo delivers instant value for alerts in application stacks, akin to a project github actions workflow for monitoring.

Who should use this?

DevOps engineers prototyping alert pipelines, backend devs validating Node.js metrics in containers, or instructors demoing Prometheus-Grafana-Telegram flows in workshops (note the "class" in the name). It's ideal for teams needing a quick project github link for observability spikes, like during project complete planning or application troubleshooting sessions.

Verdict

Grab it for learning or proofs-of-concept—solid README and one-command setup make it a practical starter despite 11 stars and 1.0% credibility score signaling early maturity. Skip for production; lacks tests and customization depth, but extend it via volumes for real apps.

(198 words)

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