How you deploy Kibana largely depends on your use case. If you are the only user, you can run Kibana on your local machine and configure it to point to whatever Elasticsearch instance you want to interact with. Conversely, if you have a large number of heavy Kibana users, you might need to load balance across multiple Kibana instances that are all connected to the same Elasticsearch instance.
While Kibana isn’t terribly resource intensive, we still recommend running Kibana separate from your Elasticsearch data or master nodes. To distribute Kibana traffic across the nodes in your Elasticsearch cluster, you can configure Kibana to use a list of Elasticsearch hosts.
Kibana does not support rolling upgrades, and deploying mixed versions of Kibana can result in data loss or upgrade failures. Please shut down all instances of Kibana before performing an upgrade, and ensure all running Kibana instances have matching versions.
Load balancing across multiple Kibana instancesedit
To serve multiple Kibana installations behind a load balancer, you must change the configuration. See Configuring Kibana for details on each setting.
These settings must be unique across each Kibana instance:
server.uuid // if not provided, this is autogenerated server.name path.data pid.file server.port
When using a file appender, the target file must also be unique:
logging: appenders: default: type: file fileName: /unique/path/per/instance
Settings that must be the same:
xpack.security.encryptionKey //decrypting session information xpack.security.authc.* // authentication configuration xpack.security.session.* // session configuration xpack.reporting.encryptionKey //decrypting reports xpack.encryptedSavedObjects.encryptionKey // decrypting saved objects xpack.encryptedSavedObjects.keyRotation.decryptionOnlyKeys // saved objects encryption key rotation, if any
If the authentication configuration does not match, sessions from unrecognized providers in each Kibana instance will be deleted during that instance’s regular session cleanup. Similarly, inconsistencies in session configuration can also lead to undesired session logouts. This also applies to any Kibana instances that are backed by the same Elasticsearch instance and share the same kibana.index, even if they are not behind the same load balancer.
Separate configuration files can be used from the command line by using the
bin/kibana -c config/instance1.yml bin/kibana -c config/instance2.yml
Accessing multiple load-balanced Kibana clustersedit
To access multiple load-balanced Kibana clusters from the same browser,
xpack.security.cookieName to the same value in the Kibana configuration
of each Kibana instance.
Each Kibana cluster must have a different value of
This avoids conflicts between cookies from the different Kibana instances.
This will achieve seamless high availability and keep the session active in case of failure from the currently used instance.
High availability across multiple Elasticsearch nodesedit
Kibana can be configured to connect to multiple Elasticsearch nodes in the same cluster. In situations where a node becomes unavailable, Kibana will transparently connect to an available node and continue operating. Requests to available hosts will be routed in a round robin fashion.
elasticsearch.hosts: - http://elasticsearch1:9200 - http://elasticsearch2:9200
Related configurations include
These can be used to automatically update the list of hosts as a cluster is resized. Parameters can be found on the settings page.
Kibana has a default memory limit that scales based on total memory available. In some scenarios, such as large reporting jobs, it may make sense to tweak limits to meet more specific requirements.
A limit can be defined by setting
--max-old-space-size in the
node.options config file found inside the
kibana/config folder or any other folder configured with the environment variable
KBN_PATH_CONF. For example, in the Debian-based system, the folder is
The option accepts a limit in MB: