A lightweight, open source shipper for docker daemon data. Dockerbeat polls the Docker Engine daemon, and sends cpu, network, memory, and host information to Logstash for further parsing and enrichment or to Elasticsearch for centralized storage and analysis.
Dockerbeat can be added to any principal charm thanks to the wonders of being a subordinate charm. The following usage example will deploy the elk stack, so we can visualize our container data once we've established the link between dockerbeat and Logstash
juju deploy ~containers/bundle/elk-stack juju deploy ~containers/swarm-core juju deploy ~containers/trusty/dockerbeat juju add-relation dockerbeat:beats-host swarm juju add-relation dockerbeat logstash
Deploying the minimal Beats formation
If you do not need data buffering and alternate transforms on your data thats being shipped to ElasticSearch you can simply deploy the 'beats-core' bundle which stands up Elasticsearch, Kibana, and the three known working Beats subordinate services.
juju deploy ~containers/bundle/beats-core juju deploy ~containers/bundle/swarm-core juju deploy ~containers/trusty/dockerbeat juju add-relation filebeat:beats-host swarm juju add-relation topbeat:beats-host swarm juju add-relation packetbeat:beats-host swarm juju add-relation dockerbeat:beats-host swarm
A note about the beats-host relationship
The Beats suite of charms leverage the implicit "juju-info" relation interface which is special and unique in the context of subordinates. This is what allows us to relate the beat to any host, but may have some display oddities in the juju-gui. Until this is resolved, it's recommended to relate beats to their principal services using the CLI
Testing the deployment
The services provide extended status reporting to indicate when they are ready:
juju status --format=tabular
This is particularly useful when combined with watch to track the on-going progress of the deployment:
watch -n 0.5 juju status --format=tabular
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 log data from the Ubuntu host.
juju status kibana --format=yaml | grep public-address
open http://<kibana-ip>/ in a browser and begin creating your dashboard visualizations
Scale Out Usage
This bundle was designed to scale out. To increase the amount of log storage and indexers, you can add-units to elasticsearch.
juju add-unit elasticsearch
You can also increase in multiples, for example: To increase the number of Logstash parser/buffer/shipping services:
juju add-unit -n 2 logstash
To monitor additional hosts, simply relate the Dockerbeat subordinate
juju add-relation dockerbeat:beats-host my-charm
This charm makes use of Resources. A juju 2.0 feature. When deploying this
charm on a juju 2.0 enabled controller, the upstream Ingensi dockerbeat
binary will ship with the charm targeted at X86 hosts. If you are on another
architecture you may need to compile, and
juju attach a new binary for
Alternatively, on juju 1.25 hosts, this charm supports a configurable URL and SHA1 sum configuration option to attempt to fetch. Configured for a release from the Ingensi github repository.
- Charles Butler <firstname.lastname@example.org>