Mist.io offers plans for monitoring your machines. By default it will install a
collectd instance pre-configured with some basic
metrics and send the results to mist.io’s servers. By visiting mist.io you can see live graphs of your monitored machines.
Furthermore, you have a huge list of collectd plugins that you can add to your machine and even upload custom pyton scripts to be used as collectd plugins, allowing you to monitor…well, almost everything.
In order to enable monitoring on a machine with name
mist enable-monitoring dbServer
Now, your dbServer machine has collectd installed and you can visit mist.io to see live graphs (note that the first time you enable collectd it may take some time for the package to install).
To disable monitoring on a machine:
mist disable-monitoring dbServer
Collectd supports a huge list of custom metrics/plugins. To see all available plugins/metrics for a monitored machine:
mist list-metrics --machine dbServer
If you wish to add one of those metrics you have to use the metric’s id. For example, to add the metric
mist add-metric --machine dbServer --metric-id users
Mist.io supports custom, python plugins. For example, if you have a
import random def read(): # return random value return random.random()
You can add it by providing the
--custom_plugin parameter and providing a plugin name with the
mist add-custom-metric --machine dbServer --metric-name my_custom_metric --file-path ~/plugin.py --unit my_unit