Skip to content

A comprehensive monitoring stack leveraging Grafana for visualization, Prometheus for metrics monitoring, and Grafana Loki for log monitoring. Monitor, analyze, and optimize your application's performance seamlessly.

Notifications You must be signed in to change notification settings

skushagra9/Grafana-Prometheus-Monitoring-Stack

Repository files navigation

Graphana Prometheus Monitoring Stack

Grafana Prometheus Monitoring Stack is a robust monitoring solution designed to empower developers and operators with deep insights into their applications' performance and health. This stack combines the power of Grafana for intuitive visualization, Prometheus for comprehensive metrics monitoring, and Grafana Loki for efficient log monitoring. With customizable dashboards, alerting capabilities, and historical data analysis, this stack enables you to proactively monitor, analyze, and optimize your system's performance, ensuring seamless operations and enhanced user experience. Screenshot from 2024-04-19 19-31-14

Contact me 💌

If you want to learn more about this project or have any questions, send me an email at (mailto:skushagra.sharma@gmail.com)

Built with 🛠️

  • Graphana
  • Graphana Loki
  • Prometheus
  • TypeScript
  • NodeJs

Getting Started 🚀

Setup

  1. Clone the repository

    git clone [https://github.com/skushagra9/Prometheus-Graphana-Monitoring-Stack.git](https://github.com/skushagra9/Grafana-Prometheus-Monitoring-Stack.git)
  2. Install dependencies

    npm install
  3. Run Docker compose

    docker compose up

Now , Graphana started on port 3000 (docker) Prometheus started on port 9090 (docker) Graphana Loki started on port 3100 (docker) Backend Server started on port 8080 (machine)

So In order to use the services , we have to use the private ip for our system, as most of the services are running inside the docker container

About

A comprehensive monitoring stack leveraging Grafana for visualization, Prometheus for metrics monitoring, and Grafana Loki for log monitoring. Monitor, analyze, and optimize your application's performance seamlessly.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published