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redis-monitor

A web visualization redis monitoring program. Performance optimized and very easy to install and deploy, base on Flask and sqlite. the monitor data come from redis.info().

Demo Site: http://redis-monitor.atool.org/

Welcome to issue and push request. https://github.com/hustcc/redis-monitor

What

The monitor data include:

  • the redis server infomation, include redis version, online time, online time, os version and information, and so on.
  • realtime cmd exec infomation, such as ops, connected count, and so on.
  • realtime gragh of the connect time.
  • realtime gragh of ops.
  • realtime gragh of cpu and mem usage.
  • some simple operate, such as flushdb and add key-velue.
  • redis role, include master and slaves.

Why

There are so many redis monitor code in github, why do this?

Because I clone so many program, but all exist difficult, cause by below:

  • My kownleage is pool.
  • The config not easy, I have do many thing to run the code, and I need to rewrite some code on my dev environment.
  • Incompatible versions, I can run to monitor redis 2.6, but not work with 2.8.
  • Start up not easy, some project, I need to run a data collection process, and a web process.
  • Performance Loss, when I open 10 browser tab, the monitor of other projects can exec 10 command per second.

How to Use

  1. git clone https://github.com/hustcc/redis-monitor.git

  2. install the environment, so easy, if you are a pythoner, I believe you can skip this step.

    pip install Flask

    pip install requests

    pip install redis

    install sqlite3 environment, linux include.

  3. start up

    ./run_monitor

    or

    python run_monitor.py

    PS: change run_monitor mode to 755.

  4. Open in browser 127.0.0.1:7259, then you will see it.

screenshot

  • basic information

shot_1

  • connection time gragh

shot_2

  • ops time gragh

shot_3

  • cpu and mem gragh

shot_3

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⚡ A web visualization redis monitoring program. Performance optimized and very easy to install and deploy, base on Flask and sqlite.

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  • JavaScript 39.0%
  • Python 31.3%
  • HTML 26.1%
  • CSS 3.6%