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Monitoring is where RQ shines.

The easiest way is probably to use the RQ dashboard, a separately distributed tool, which is a lightweight webbased monitor frontend for RQ, which looks like this:

RQ dashboard

To install, just do:

$ pip install rq-dashboard
$ rq-dashboard

It can also be integrated easily in your Flask app.

Monitoring at the console

To see what queues exist and what workers are active, just type rq info:

$ rq info
high       |██████████████████████████ 20
low        |██████████████ 12
default    |█████████ 8
3 queues, 45 jobs total

Bricktop.19233 idle: low
Bricktop.19232 idle: high, default, low
Bricktop.18349 idle: default
3 workers, 3 queues

Querying by queue names

You can also query for a subset of queues, if you're looking for specific ones:

$ rq info high default
high       |██████████████████████████ 20
default    |█████████ 8
2 queues, 28 jobs total

Bricktop.19232 idle: high, default
Bricktop.18349 idle: default
2 workers, 2 queues

Organising workers by queue

By default, rq info prints the workers that are currently active, and the queues that they are listening on, like this:

$ rq info
...

Mickey.26421 idle: high, default
Bricktop.25458 busy: high, default, low
Turkish.25812 busy: high, default
3 workers, 3 queues

To see the same data, but organised by queue, use the -R (or --by-queue) flag:

$ rq info -R
...

high:    Bricktop.25458 (busy), Mickey.26421 (idle), Turkish.25812 (busy)
low:     Bricktop.25458 (busy)
default: Bricktop.25458 (busy), Mickey.26421 (idle), Turkish.25812 (busy)
failed:  –
3 workers, 4 queues

Interval polling

By default, rq info will print stats and exit. You can specify a poll interval, by using the --interval flag.

$ rq info --interval 1

rq info will now update the screen every second. You may specify a float value to indicate fractions of seconds. Be aware that low interval values will increase the load on Redis, of course.

$ rq info --interval 0.5