Beats are the core of data shipping in the new Elastic Stack by Elastic Co.
Famous for their ELK stack, these succeed any agents you might be familiar with.
A lightweight, open source shipper for log file data. As the next-generation
Logstash Forwarder, Filebeat tails logs and quickly sends this information to
Logstash for further parsing and enrichment or to Elasticsearch for centralized
storage and analysis.
A lightweight way to gather CPU, memory, and other per-process and
system wide data, then ship it to Elasticsearch to analyze the results.
An open source project that is designed to provide
real‑time analytics for web, database, and other network protocols.
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.
Deployment is straight forward. Deploy the
beats-core bundle to stand up the
log aggregation and visualization applications, and add relations to anything
you want to monitor. The following example monitors a simple
juju deploy ~elasticsearch-charmers/bundle/beats-core juju deploy bionic/ubuntu juju add-relation filebeat:beats-host ubuntu
Beat indexes are automatically created in kibana, and default demonstration
dashboards have been loaded. Once the model has settled, you can navigate to
http://<kibana-public-ip>/, select the filebeat index as the default, and
head over to the Discover tab to view logs collected from the
Note: This demo dashboard also ships with visualizations we are not yet
populating for winlogbeat beats.
- Elasticsearch Charmers <firstname.lastname@example.org>
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