Components for legacy collectionedit
Monitoring Logstash with bequest collection uses these components :
These pieces live outside of the default Logstash grapevine in a dedicate monitor pipeline. This configuration ensures that all data and action has a minimal shock on ordinary Logstash process. Existing Logstash features, such as the
elasticsearch output signal, can be reused to benefit from its rehear policies .
elasticsearch output that is used for monitoring Logstash is configured entirely through settings found in
logstash.yml. It is not configured by using anything from the Logstash configurations that might besides be using their own separate
The production Elasticsearch bunch should be configured to receive Logstash monitoring data. This shape enables the production Elasticsearch bunch to add metadata ( for example, its bunch UUID ) to the Logstash monitoring data and then route it to the monitor clusters. For more data about distinctive monitor architectures, see How monitoring works in the Elasticsearch Reference .
Collectors, as their name implies, collect things. In monitoring for Logstash, collectors are equitable Inputs in the lapp way that ordinary Logstash configurations provide inputs .
Like monitoring for Elasticsearch, each collector can create zero or more monitor documents. As it is presently implemented, each Logstash node runs two types of collectors : one for node stats and one for grapevine stats .
|| Gathers details about the run node, such as memory utilization and CPU custom ( for example,
This runs on every Logstash node with monitor enabled. One common failure is that Logstash directories are copied with their
||Gathers details about the node ’ randomness running pipelines, which powers the Monitoring Pipeline UI .|
Per collection time interval, which defaults to 10 seconds (
10s ), each collector is run. The failure of an individual collector does not impact any other collector. Each collector, as an ordinary Logstash remark, creates a separate Logstash event in its isolated monitor grapevine. The Logstash output then sends the datum.
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The collection interval can be configured dynamically and you can besides disable data collection. For more information about the configuration options for the collectors, see monitoring Settings .
Unlike Elasticsearch and Kibana monitor, there is no
xpack.monitoring.collection.enabled setting on Logstash. You must use the
xpack.monitoring.enabled setting to enable and disable data solicitation .
If gaps exist in the monitor charts in Kibana, it is typically because either a collector failed or the monitoring cluster did not receive the data ( for model, it was being restarted ). In the event that a collector fails, a log error should exist on the node that attempted to perform the collection .
Like all Logstash pipelines, the function of the dedicate monitor grapevine is to send events to outputs. In the case of monitor for Logstash, the output is constantly an
elasticsearch output signal. however, unlike ordinary Logstash pipelines, the output is configured within the
logstash.yml settings file via the
xpack.monitoring.elasticsearch.* settings .
other than its unique manner of configuration, this
elasticsearch output behaves like all
elasticsearch outputs, including its ability to pause data collection when issues exist with the output .
It is critical that all Logstash nodes contribution the lapp setup. otherwise, monitoring data might be routed in different ways or to different places .
If a Logstash lymph node does not explicitly define a monitoring end product setting, the following default option shape is used :
xpack.monitoring.elasticsearch.hosts: [ "http://localhost:9200" ]
All data produced by monitoring for Logstash is indexed in the monitoring bunch by using the
.monitoring-logstash template, which is managed by the exporters within Elasticsearch .
If you are working with a cluster that has X-Pack security enabled, extra steps are necessity to properly configure Logstash. For more information, see Monitoring Logstash.
When discussing security relative to the
elasticsearch output, it is critical to remember that all users are managed on the output bunch, which is identified in the
xpack.monitoring.elasticsearch.hosts jell. This is particularly significant to remember when you move from development environments to production environments, where you much have dedicated monitoring clusters .
For more information about the configuration options for the output signal, see monitoring Settings .