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https://github.com/FernandoBLima/python-prometheus-grafana
Project contains a Python service example with Prometheus and Grafana.
https://github.com/FernandoBLima/python-prometheus-grafana
Last synced: 2 days ago
JSON representation
Project contains a Python service example with Prometheus and Grafana.
- Host: GitHub
- URL: https://github.com/FernandoBLima/python-prometheus-grafana
- Owner: FernandoBLima
- Created: 2021-07-03T21:44:27.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-11T21:55:26.000Z (almost 2 years ago)
- Last Synced: 2024-05-22T17:30:54.797Z (6 months ago)
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 6
- Watchers: 1
- Forks: 6
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Python-Prometheus-Grafana
The main objective of this project is to create a simple Python service example that contains Prometheus which is a standalone open source project that monitors and alerts systems and Grafana.
### Mains Tools
- Docker
- Prometheus
- Grafana
### Technical Overview
You will need Docker installed to follow the next steps and build an run the image locally you just need to use the following command:
```bash
docker-compose up --build
```
### How it Works
At first, make some reqeust several times using the following link `http://localhost:5000`, then you be able to see changes in the metrics `http://localhost:5000/metrics`.
After that, you can navigate to grafana's Dashboard via the link `http//localhost:3000` and upload the datasource and dashboard configuration using the JSO files. Or you can use Grafana's Dashboard API to create a new dashboard and datasource using the following requests:
- Enable datasource:
POST http://localhost:3000/api/dashboards/db
Body
```
{
"name": "prometheus",
"type": "prometheus",
"url": "http://localhost:9090",
"access": "browser",
"isDefault": true
}
```
- Create Dashboard:
POST http://localhost:3000/api/datasources
For more informations you can access the [Grafana Dashboard API](https://grafana.com/docs/grafana/latest/http_api/dashboard/)
After all these actions, you should be able to access the Grafana Dashboard that display some graphs and metrics related to the Flask Web Application that was created.
### Help and Resources
You can read more on:
- [Docker Documentation](https://docs.docker.com/get-started/overview/)
- [Flask](https://flask.palletsprojects.com/en/2.0.x/)
- [Grafana Dashboard API](https://grafana.com/docs/grafana/latest/http_api/dashboard/)
- [Grafana Documentation](https://grafana.com)
- [Prometheus Documentation](http://prometheus.io)
- [Prometheus Python Client](https://github.com/prometheus/client_python)