A realtime monitor dashboard for Graphite.

The code is simple and hackable, no more than 1000 lines.

Thanks to : graph-explorer, maptail, JSTweener, I have merged styles of these three into graphite-observer.

in config.py:

graphite_url = 'http:https://graphitehost:port'
listen_host = '0.0.0.0'
listen_port = 8801

the graphite_url should be your graphite web location.

A plugin is a python file in which defines a list whose element is:

• desc: description of this target
• path: metric name
• max: max value of this metric
• min: min value of this metric

For example, plugins/example.py has content:

targets = [
    {  
        'desc'  : 'hostA cpu',
        'path'  : 'servers.hostA.cpu.total.user',
        'max'   : 400,
        'min'   : 0
    }, 
    {
        'desc'  : ' hostB cpu',
        'path'  : 'servers.hostB.cpu.total.user',
        'max'   : 500,
        'min'   : 0
    },
]

category = 'sysadmin'

then you can view states of these metrics via http:https://<ip>:<port>/dashboard/example.

Browser will infinitely use this conf to determine a metric is in good state or bad.

If metric_value of target['path'] is greater than target['max'] or less than target['min'], it is in bad state.

If in bad state, the corresponding Circle drew in previous Screenshot will keep zooming in/out.

A plugin belongs to a category, this is defined in plugin files. For example, in plugin example.py, a variable named category is defined as:

category = 'sysadmin'

then example.py will belong to category sysadmin, and plugins will be listed group by category

• python2: either 2.6 or higher.
• browser: chrome

• default: ./graphite-observer.py and your page is available at http:https://<ip>:8801
• alternatively, if you use gunicorn, you can run it with multi-workers like so: gunicorn -w 4 app:'default_app()' -b 0.0.0.0:8801

• On left-bottom of dashboard page, there is real time log which will be automatically refreshed.
• When you press a circle to "bind" it to right-bottom, it will refresh info only about this metric.
• You can input regular expression to filter logs.