Channel Version Revision Published Runs on
latest/stable 8 8 11 Nov 2020
Ubuntu 16.04 Ubuntu 14.04
latest/candidate 8 8 11 Nov 2020
Ubuntu 16.04 Ubuntu 14.04
latest/beta 8 8 11 Nov 2020
Ubuntu 16.04 Ubuntu 14.04
latest/edge 8 8 11 Nov 2020
Ubuntu 16.04 Ubuntu 14.04
juju deploy topbeat
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16.04 14.04


A lightweight way to gather CPU, memory, and other per-process and system wide data, then ship it to Elasticsearch to analyze the results.


Topbeat can be added to any principal charm thanks to the wonders of being a subordinate charm. The following usage example will deploy an ubuntu metric source along with the elk stack so we can visualize our data.

juju deploy ~containers/bundle/elk-stack
juju deploy ~containers/topbeat
juju deploy ubuntu
juju add-relation topbeat:beats-host ubuntu
juju add-relation topbeat logstash
Deploying the minimal Beats formation

If you do not need log buffering and alternate transforms on data that is being shipped to ElasticSearch, you can simply deploy the 'beats-core' bundle which stands up Elasticsearch, Kibana, and the known working Beats subordinate applications.

juju deploy ~containers/bundle/beats-core
juju deploy ubuntu
juju add-relation filebeat:beats-host ubuntu
juju add-relation topbeat:beats-host ubuntu
Changing what is shipped

By default, the Topbeat charm is setup to ship everything:

procs: .*

This is a regular expression to match the processes that are monitored

juju config topbeat procs="^$"

would tell topbeat not to send any process data and only collect the machine statistics such as load, ram, and disk usage.

Testing the deployment

The applications provide extended status reporting to indicate when they are ready:

juju status

This is particularly useful when combined with watch to track the on-going progress of the deployment:

watch juju status

The message for each unit will provide information about that unit's state. Once they all indicate that they are ready, you can navigate to the kibana url and view the streamed data from the Ubuntu host.

juju status kibana --format=yaml | grep public-address

Navigate to http://<kibana-ip>/ in a browser and begin creating your dashboard visualizations.

Scale Out Usage with different configuration

Perhaps you want to monitor things slightly differently on only a few charms in your model:

juju deploy ~containers/topbeat custom-topbeat
juju add-relation custom-topbeat:elasticsearch elasticsearch

You are then free to configure and relate custom-topbeat to your host(s) to be monitored using the existing beats-core infrastructure you stood up in the earlier example.

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