rqmonitor 0.0.8

Flask based dynamic and actionable dashboard for monitoring RQs

RQ Monitor is Flask based more actionable and dynamic web frontend for monitoring your RQ.

Key Features • Install • Docker • Usage • Credits • Contribute • Similar Tool • License

Key Features

• Redis RQ Memory Monitoring - Implemented through Lua Scripting
  • Possibly RQ is not the only work your redis is doing and you want to keep a close eye on memory consumption of RQ namespace. Be little careful while executing it on production environment with large data as script may block your redis for some time.
• All data population through DataTables:
  • Queues and Workers dashboard are rendered by client side DataTables so you get additional functionality of sorting, searching, robust pagination.
  • Jobs dashboard is rendered with server side option enabled of DataTables for easy loading of very large number of jobs.(Ajax Pipeling also planned in future)
• More Ajax Less Reloading
  • Once after firing up the dashboard, little to no refresh is necessary, almost every refresh is done via ajax.
• Jobs Filtering Support
  • You can choose to view a set of jobs from certain queue with certain status.
• Global Actions
  • You can easily delete/empty multiple queues, jobs and suspend/resume workers.
• Take actions on workers
  • Using rqmonitor you can suspend/resume your workers for debugging purposes or deletion functionality is also available but only for workers on same machine as of rqmonitor. (Later planned to send signals via fabric api).
• Last but not the least is beautiful UI
• More features coming!

Install

1. Install rqmonitor with pip
   • $ pip install rqmonitor
2. For Docker check below.

Docker

You love docker, don't you ?

Pull rqmonitor latest docker image from dockerhub

docker pull pranavgupta1234/rqmonitor
docker run -p 8899:8899 pranavgupta1234/rqmonitor

The above command will successfully run the flask app but your redis is probably on your docker host then provide your docker host private IP for redis url via env, like:

docker run --env RQ_MONITOR_REDIS_URL=redis://<your-private-ip>:6379 -p 8899:8899 pranavgupta1234/rqmonitor

Usage

CLI options are similar to that of rq-dashboard. Download latest version of rqmonitor from pypi and fire up your command line and type rqmonitor --help.

Usage: rqmonitor [OPTIONS]

  Run the RQ Monitor Flask server.

  All configuration can be set on the command line or through environment
  variables of the form RQ_MONITOR_*. For example RQ_MONITOR_USERNAME.

  A subset of the configuration (the configuration parameters used by the
  underlying flask blueprint) can also be provided in a Python module
  referenced using --config, or with a .cfg file referenced by the
  RQ_MONITOR_SETTINGS environment variable.

Options:
  -b, --bind TEXT                 IP or hostname on which to bind HTTP server
  -p, --port INTEGER              Port on which to bind HTTP server
  --url-prefix TEXT               URL prefix e.g. for use behind a reverse
                                  proxy
  --username TEXT                 HTTP Basic Auth username (not used if not
                                  set)
  --password TEXT                 HTTP Basic Auth password
  -c, --config TEXT               Configuration file (Python module on search
                                  path)
  -u, --redis-url TEXT            Redis URL. Can be specified multiple times.
                                  Default: redis://127.0.0.1:6379
  --refresh-interval, --interval INTEGER
                                  Refresh interval in ms
  --extra-path TEXT               Append specified directories to sys.path
  --debug / --normal              Enter DEBUG mode
  -v, --verbose                   Enable verbose logging
  --help                          Show this message and exit.

Credits

This software is majorly dependent on the following open source packages:

• rq
• flask
• DataTables
• Concept Admin Dashboard

Contribute

---

1. Clone repo and create a new branch: $ git checkout https://github.com/pranavgupta1234/rqmonitor -b name_for_new_branch.
2. Make changes and test
3. Submit Pull Request with comprehensive description of changes

Similar Tool

Some snippets in rqmonitor have been used from rq-dashboard.

• rq-dashboard - Yet another RQ Dashboard

License

Apache 2.0