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https://github.com/maxgfr/web-monitoring
Web monitoring thanks to Prometheus and Grafana
https://github.com/maxgfr/web-monitoring
docker docker-compose grafana kafka kafka-node mongodb node-exporter prometheus web-monitoring
Last synced: about 2 months ago
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Web monitoring thanks to Prometheus and Grafana
- Host: GitHub
- URL: https://github.com/maxgfr/web-monitoring
- Owner: maxgfr
- Created: 2019-05-21T08:39:31.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-02-29T20:20:35.000Z (10 months ago)
- Last Synced: 2024-04-14T11:31:51.131Z (8 months ago)
- Topics: docker, docker-compose, grafana, kafka, kafka-node, mongodb, node-exporter, prometheus, web-monitoring
- Language: JavaScript
- Homepage:
- Size: 4.61 MB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# web-monitoring
The repository of the application is : `https://github.com/maxgfr/web-monitoring.git`
## Description
This project is an implementation of a monitoring, alerting, and reporting infrastructure system based on Prometheus, Grafana, and Kafka. The infrastructure is based on docker, and the web application is a node.js application that has these main dependencies :
- [mongodb](https://github.com/mongodb/node-mongodb-native)
- [express](https://github.com/expressjs/express)
- [prom-client](https://github.com/siimon/prom-client)
- [kafka-node](https://github.com/SOHU-Co/kafka-node)
## Requirements
1. Install [git](https://git-scm.com/downloads)
2. Install [docker](https://docs.docker.com/v17.12/install/)
3. Install [docker-compose](https://docs.docker.com/compose/install/)
4. Clone this repository :
```bash
git clone --recursive https://github.com/maxgfr/web-monitoring.git
```
## Building & Running
### To start the infrastructure
```bash
docker-compose up --build
```
### To stop and remove the infrastructure
```bash
docker-compose down --rmi 'all'
```
## Usage
Now, we can run different type of request `POST / GET / DELETE` (`http://localhost:1603`) :
We can also open `Prometheus` (`http://localhost:9090`) :
Or see customized metrics in the application (`http://localhost:1603/metrics`) :
Finally, we can use `Grafana` for the monitoring of the application (`http://localhost:3000`) :
*By default, for `Grafana` the username is `admin` and the password is `pass`*