Redis Instance Controlling and Distribution Service

Python-dev header files and libs

# debain / ubuntu
apt-get install python-dev

# centos
yum install python-devel

Install dependencies via

pip install -r requirements.txt

OpenFalcon (optional) a statistics data server, Redis-Ctl would draw charts like redis memory / CPU usage if open-falcon enabled.

Eru (optional) a great power-up you should ever try. It allows Redis-Ctl launching redis / cerberus in docker containers on a web page, and even automatically deploying new redis and migrating slots when a redis serves too much data.

Run with all configurations default

python main.py

Use env vars, like

MYSQL_USERNAME=redisctl MYSQL_PASSWORD=p@55w0rd python main.py

Check config.py for configurable items.

To use a configure file, copy override_config.py.example to override_config.py, change anything you want. This file would be imported and override any default config or env vars in config.py if available.

Process to polling redis nodes and proxy status.

Run

python daemon.py

Also you could use similar ways to configure daemon, just like setup up the main server.

The server and daemon uses /tmp/details.json and /tmp/poll.json as default IPC files. You could change the directory for those temp files by passing the same PERMDIR environ to the web application and the daemon.

The programs don't use redis to do the communication, however, because they are the controllers of redis.

For web interface usage, please read here (CN)