Exports task execution metrics in Prometheus format: how many tasks were started and have completed successfully or with failure, and how many tasks are still in the queues (supported only for broker redis).
Inspired by https://gitlab.com/kalibrr/celery-prometheus
Start the HTTP server like this:
$ bin/celery prometheus --host=127.0.0.1 --port=9691
scrape_configs:
- job_name: 'celery'
static_configs:
- targets: ['localhost:9691']
We export the following metrics:
celery_tasks_total{state="started|succeeded|failed|retried|retries-exceeded", queue="..."}, countercelery_task_queuetime_seconds{queue}, histogram (only iftask_send_sent_eventis enabled in Celery)celery_task_runtime_seconds{queue}, histogram
If you pass --queuelength-interval=x then every x seconds the queue lengths will be checked (NOTE: this only works with redis as the broker), resulting in this additional metric:
celery_queue_length{queue="..."}, gauge
With bin/test wrapper script (or uv run pytest).