Deprecated in 7.9.0.
Monitoring Logstash with legacy collection uses these components:
These pieces live outside of the default Logstash pipeline in a dedicated monitoring
pipeline. This configuration ensures that all data and processing has a minimal
impact on ordinary Logstash processing. Existing Logstash features, such as the
elasticsearch output, can be reused to
benefit from its retry policies.
elasticsearch output that is used for monitoring Logstash is
configured exclusively through settings found in
logstash.yml. It is not
configured by using anything from the Logstash configurations that might also be
using their own separate
The production Elasticsearch cluster should be configured to receive Logstash monitoring data. This configuration enables the production Elasticsearch cluster to add metadata (for example, its cluster UUID) to the Logstash monitoring data and then route it to the monitoring clusters. For more information about typical monitoring architectures, see How monitoring works in the Elasticsearch Reference.
Collectors, as their name implies, collect things. In monitoring for Logstash, collectors are just Inputs in the same way that ordinary Logstash configurations provide inputs.
Like monitoring for Elasticsearch, each collector can create zero or more monitoring documents. As it is currently implemented, each Logstash node runs two types of collectors: one for node stats and one for pipeline stats.
Gathers details about the running node, such as memory utilization and CPU
usage (for example,
This runs on every Logstash node with monitoring enabled. One common
failure is that Logstash directories are copied with their
Gathers details about the node’s running pipelines, which powers the Monitoring Pipeline UI.
Per collection 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 input, creates a separate Logstash event
in its isolated monitoring pipeline. The Logstash output then sends the data.
The collection interval can be configured dynamically and you can also disable data collection. For more information about the configuration options for the collectors, see Monitoring Settings.
Unlike Elasticsearch and Kibana monitoring, there is no
xpack.monitoring.collection.enabled setting on Logstash. You must use the
xpack.monitoring.enabled setting to enable and disable data collection.
If gaps exist in the monitoring charts in Kibana, it is typically because either a collector failed or the monitoring cluster did not receive the data (for example, it was being restarted). In the event that a collector fails, a logged error should exist on the node that attempted to perform the collection.
Like all Logstash pipelines, the purpose of the dedicated monitoring pipeline is
to send events to outputs. In the case of monitoring for Logstash, the output
is always an
elasticsearch output. However, unlike ordinary Logstash pipelines,
the output is configured within the
logstash.yml settings file via the
Other than its unique manner of configuration, this
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 share the same setup. Otherwise, monitoring data might be routed in different ways or to different places.
If a Logstash node does not explicitly define a monitoring output setting, the following default configuration is used:
xpack.monitoring.elasticsearch.hosts: [ "http://localhost:9200" ]
All data produced by monitoring for Logstash is indexed in the monitoring
cluster 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 necessary 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 production cluster,
which is identified in the
This is particularly important to remember when you move from development
environments to production environments, where you often have dedicated
For more information about the configuration options for the output, see Monitoring Settings.
To monitor Logstash nodes:
Specify where to send monitoring data. This cluster is often referred to as the production cluster. For examples of typical monitoring architectures, see How monitoring works.
To visualize Logstash as part of the Elastic Stack (as shown in Step 6), send metrics to your production cluster. Sending metrics to a dedicated monitoring cluster will show the Logstash metrics under the monitoring cluster.
Verify that the
trueon the production cluster. If that setting is
false, the collection of monitoring data is disabled in Elasticsearch and data is ignored from all other sources.
Configure your Logstash nodes to send metrics by setting
trueand specifying the destination Elasticsearch node(s) as
logstash.yml. If security features are enabled, you also need to specify the credentials for the built-in
logstash_systemuser. For more information about these settings, see Monitoring Settings.
If SSL/TLS is enabled on the production Elasticsearch cluster, specify the trusted CA certificates that will be used to verify the identity of the nodes in the cluster.
To add a CA certificate to a Logstash node’s trusted certificates, you can specify the location of the PEM encoded certificate with the
Alternatively, you can configure trusted certificates using a truststore (a Java Keystore file that contains the certificates):
xpack.monitoring.elasticsearch.ssl.truststore.path: /path/to/file xpack.monitoring.elasticsearch.ssl.truststore.password: password
Also, optionally, you can set up client certificate using a keystore (a Java Keystore file that contains the certificate):
xpack.monitoring.elasticsearch.ssl.keystore.path: /path/to/file xpack.monitoring.elasticsearch.ssl.keystore.password: password
Set sniffing to
trueto enable discovery of other nodes of the Elasticsearch cluster. It defaults to
- Restart your Logstash nodes.
To verify your monitoring configuration, point your web browser at your Kibana host, and select Monitoring from the side navigation. Metrics reported from your Logstash nodes should be visible in the Logstash section. When security is enabled, to view the monitoring dashboards you must log in to Kibana as a user who has the
You can set the following
xpack.monitoring settings in
control how monitoring data is collected from your Logstash nodes. However, the
defaults work best in most circumstances. For more information about configuring
Logstash, see logstash.yml.
Monitoring is disabled by default. Set to
trueto enable X-Pack monitoring.
The Elasticsearch instances that you want to ship your Logstash metrics to. This might be
the same Elasticsearch instance specified in the
outputssection in your Logstash configuration, or a different one. This is not the URL of your dedicated monitoring cluster. Even if you are using a dedicated monitoring cluster, the Logstash metrics must be routed through your production cluster. You can specify a single host as a string, or specify multiple hosts as an array. Defaults to
If your Elasticsearch cluster is configured with dedicated master-eligible
nodes, Logstash metrics should not be routed to these nodes, as doing so can
create resource contention and impact the stability of the Elasticsearch
cluster. Therefore, do not include such nodes in
The monitoring Elasticsearch instance and monitored Logstash can be separated by a proxy.
To enable Logstash to connect to a proxied Elasticsearch, set this value to the URI of the intermediate
proxy using the standard URI format,
http://192.168.1.1. An empty string is treated as if proxy was not set.
- If your Elasticsearch is protected with basic authentication, these settings provide the username and password that the Logstash instance uses to authenticate for shipping monitoring data.
Controls how often data samples are collected and shipped on the Logstash side.
10s. If you modify the collection interval, set the
kibana.ymlto the same value.
You can configure the following Transport Layer Security (TLS) or Secure Sockets Layer (SSL) settings. For more information, see Configuring credentials for Logstash monitoring.
Optional setting that enables you to specify a path to the
.pemfile for the certificate authority for your Elasticsearch instance.
- Optional settings that provide the paths to the Java keystore (JKS) to validate the server’s certificate.
- Optional settings that provide the password to the truststore.
- Optional settings that provide the paths to the Java keystore (JKS) to validate the client’s certificate.
- Optional settings that provide the password to the keystore.
Option to validate the server’s certificate. Defaults to
certificate. To disable, set to
none. Disabling this severely compromises security.
If you’re using Elasticsearch in Elastic Cloud, you should specify the identifier here.
This setting is an alternative to
xpack.monitoring.elasticsearch.hostsshould not be used. The Elasticsearch instances that you want to ship your Logstash metrics to. This might be the same Elasticsearch instance specified in the
outputssection in your Logstash configuration, or a different one.
If you’re using Elasticsearch in Elastic Cloud, you can set your auth credentials here.
This setting is an alternative to both
cloud_authis configured, those settings should not be used.
- Authenticate using an Elasticsearch API key. Note that this option also requires using SSL.
The API key Format is
api_key are as returned by the Elasticsearch
Create API key API.