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* [DOCS] Describe how to use Elastic Agent to monitor Elasticsearch * Temporarily fix doc build * Add question about showing Elastic Agent metrics in the monitoring UI * Apply changes from review * Activate link to Kibana docs * Fix broken link * Update docs/reference/monitoring/indices.asciidoc
41 lines
1.8 KiB
Text
41 lines
1.8 KiB
Text
[role="xpack"]
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[[monitoring-overview]]
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== Monitoring overview
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++++
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<titleabbrev>Overview</titleabbrev>
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++++
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When you monitor a cluster, you collect data from the {es} nodes, {ls} nodes,
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{kib} instances, {ents}, APM Server, and Beats in your cluster. You can also
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collect logs.
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All of the monitoring metrics are stored in {es}, which enables you to easily
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visualize the data in {kib}. By default, the monitoring metrics are stored in
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local indices.
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TIP: In production, we strongly recommend using a separate monitoring cluster.
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Using a separate monitoring cluster prevents production cluster outages from
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impacting your ability to access your monitoring data. It also prevents
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monitoring activities from impacting the performance of your production cluster.
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For the same reason, we also recommend using a separate {kib} instance for
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viewing the monitoring data.
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You can use {agent} or {metricbeat} to collect and ship data directly to your
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monitoring cluster rather than routing it through your production cluster.
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The following diagram illustrates a typical monitoring architecture with
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separate production and monitoring clusters. This example shows {metricbeat},
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but you can use {agent} instead.
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image::images/architecture.png[A typical monitoring environment]
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If you have the appropriate license, you can route data from multiple production
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clusters to a single monitoring cluster. For more information about the
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differences between various subscription levels, see:
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https://www.elastic.co/subscriptions
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IMPORTANT: In general, the monitoring cluster and the clusters being monitored
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should be running the same version of the stack. A monitoring cluster cannot
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monitor production clusters running newer versions of the stack. If necessary,
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the monitoring cluster can monitor production clusters running the latest
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release of the previous major version.
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