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Exposes RQ (Python queueing jobs library) metrics for Prometheus

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AMekss/rq_prometheus_exporter

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Prometheus exporter for RQ

Build Status

RQ (Redis Queue) is a simple Python library for queueing jobs. And this project aims to expose its metrics to Prometheus.

Build & Usage

Build it

docker build -t rq-prometheus-exporter .

Pull it from dockerhub

docker pull amekss/rq-prometheus-exporter:stable

Run it

There is RQ_REDIS_URI environment variable available to setup URL for the redis used by RQ

docker run -it --rm -p 4567:8000 rq-prometheus-exporter

where 4567 is the port on docker host you'd like to expose exporter service to.

Note: For more details on how to use docker please head to the official documentation of Docker

Available metrics

rq_enqueued_jobs        gauge   The total number of enqueued jobs (labels: queue_name)
rq_workers              gauge   The number of workers performing jobs (labels: name, queues, state)

While it's good enough for setting up basic monitoring and alerting in Prometheus, in future would be good to comeback to this and check how to extend it with more metrics

Development & Testing

Build development environment

docker-compose build

Run it in development mode

docker-compose up

Container will be exposed on port 4567 of docker host machine and hot reloading is enabled so all changes to code have to be seen even without restarting gunicorn process or container (it might take a few seconds for process to reload though)

Running tests

docker-compose run --rm exporter pytest

Note: For more details on how to use docker-compose please head to the official documentation of Docker Compose

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

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Exposes RQ (Python queueing jobs library) metrics for Prometheus

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