https://github.com/atatus/dashing-redis

Redis widgets for the Dashing framework
https://github.com/atatus/dashing-redis

Last synced: about 2 months ago
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Redis widgets for the Dashing framework

• Host: GitHub
• URL: https://github.com/atatus/dashing-redis
• Owner: atatus
• Created: 2015-10-04T17:18:51.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-10-07T10:53:23.000Z (over 9 years ago)
• Last Synced: 2023-03-02T07:22:15.375Z (almost 2 years ago)
• Language: CSS
• Size: 129 KB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Redis widget to Dashing

Kudos to [Wan Qi Chen](https://gist.github.com/wa0x6e/6564362)

[Dashing](http://shopify.github.com/dashing) widget to display the number of

connected clients to a [redis](http://redis.io/) server, as well as the instance

memory usage.

![](https://raw.githubusercontent.com/atatus/dashing-redis/master/preview.png)

## Dependencies

[redis](https://github.com/redis/redis-rb)

Add it to dashing's gemfile:

    gem 'redis'

and run `bundle install`.

## Usage

1. copy `redis.coffee`, `redis.html`, and `redis.scss` into the `/widgets/redis` directory of your Dashing app.

2. Copy the `redis.rb` file into your `/jobs` folder.

3. Now copy over the `redis.yml` into the root directory of your Dashing application. Be sure to replace the following options inside of the config file:

```

:redis_host: localhost:6379

:redis_password: 'your master password'

(or)

:redis_host: /tmp/redis.sock

:redis_password: 'your master password'

```

4. copy `redis-background.png` into your `/assets/images/` folder

Then include the widget in a dashboard, by adding the following snippet to your dashboard layout file:

* For the Redis clients widget:

```html

    


        


    

```


* For the redis memory usage widget:

```html

    


        


    

```


## Notes

For the memory usage widget, 100% usage means that your redis instance is using all the memory allocated to the redis server, defined by the `maxmemory` setting in redis.conf. If you didn't set a limit, the *peak memory usage* will be used as the maximum.