https://github.com/arturmareknowak/elastickibanagrafana

Implementation of middlewares which scrap logs and metrics about endpoint usage to Kibana and Grafana
https://github.com/arturmareknowak/elastickibanagrafana

elasticsearch filebeat go grafana kibana prometheus

Last synced: 19 days ago
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Implementation of middlewares which scrap logs and metrics about endpoint usage to Kibana and Grafana

• Host: GitHub
• URL: https://github.com/arturmareknowak/elastickibanagrafana
• Owner: ArturMarekNowak
• License: mit
• Created: 2024-03-18T17:45:13.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-04-02T19:31:16.000Z (9 months ago)
• Last Synced: 2024-11-05T11:27:56.656Z (2 months ago)
• Topics: elasticsearch, filebeat, go, grafana, kibana, prometheus
• Language: Go
• Homepage:
• Size: 831 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ElasticKibanaGrafana

[![Build](https://github.com/ArturMarekNowak/ElasticKibanaGrafana/actions/workflows/workflow.yml/badge.svg)](https://github.com/ArturMarekNowak/ElasticKibanaGrafana/actions/workflows/workflow.yml/badge.svg) [![Trivy and dockler](https://github.com/ArturMarekNowak/ElasticKibanaGrafana/actions/workflows/image-scan.yml/badge.svg)](https://github.com/ArturMarekNowak/ElasticKibanaGrafana/actions/workflows/image-scan.yml/badge.svg) [![CodeFactor](https://www.codefactor.io/repository/github/arturmareknowak/elastickibanagrafana/badge)](https://www.codefactor.io/repository/github/arturmareknowak/elastickibanagrafana)

This project is a PoC of monitoring and metrics gathering in go 

## Table of contents

* [General info](#general-info)

* [Technologies](#technologies)

* [Setup](#setup)

* [Status](#status)

* [Inspiration](#inspiration)

## General info

After docker compose is run the project should be ready to go. Project consists of six docker containers:



Pic.1 Visualization of the project


Go app implements only one endpoint - _GET /helloWorld_. Each should be seen in kibana and be visualized in grafana. In kibana after the index is setup one can use filter with _path_ selector to extract API call from log:



Pic.2 Usage of filter




Pic.3 Filtered result


In grafana with usage of simple promQL query such as `rate(http_requests_count[1m])`, data can be visualized:



Pic.4 Number of calls to the specific endpoint


## Technologies

* Go 1.22

* Docker

## Setup

1. Run docker compose in src folder: `docker-compose up`

## Status

Project is: _finished_

## Inspiration

Its good to have such small PoC