https://github.com/iconnect/ridley

A collection of ready-to-use Prometheus Metrics to monitor your Haskell application
https://github.com/iconnect/ridley

Last synced: over 1 year ago
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A collection of ready-to-use Prometheus Metrics to monitor your Haskell application

• Host: GitHub
• URL: https://github.com/iconnect/ridley
• Owner: iconnect
• License: other
• Created: 2017-01-26T10:21:46.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2024-08-22T11:40:51.000Z (almost 2 years ago)
• Last Synced: 2025-01-28T18:21:21.999Z (over 1 year ago)
• Language: Haskell
• Size: 163 KB
• Stars: 13
• Watchers: 11
• Forks: 3
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

          
![Haskell CI](https://github.com/iconnect/ridley/workflows/Haskell%20CI/badge.svg?branch=master)

_"Quick metrics to grow your production app healthy & strong."_

![scotts-porage-oats](https://cloud.githubusercontent.com/assets/442035/19548306/10c828d2-969e-11e6-86b7-0672655b518f.jpg)

## Ridley

Ridley is a library which allow you to easily expose the most common Haskell metrics to [Prometheus](https://prometheus.io).

By default, with minimal configuration, this is what you get by default:

* GHC Conc metrics

* EKG metrics

* Process memory

* CPU Avg Load

* Disk Usage

* Network Usage

* Wai endpoints status codes

* Open file descriptors

* Virtual Memory

* Physical Memory

On top of that, it's possible to define custom metrics so you can embed your own in your monitored programs.