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 run Kibana and an Elasticsearch client node on the same machine. For more information, see Load balancing across multiple Elasticsearch nodes.
Use Elastic Stack security featuresedit
You can use Elastic Stack security features to control what Elasticsearch data users can access through Kibana.
When security features are enabled, Kibana users have to log in. They need to have a role granting Kibana privileges as well as access to the indices they will be working with in Kibana.
If a user loads a Kibana dashboard that accesses data in an index that they are not authorized to view, they get an error that indicates the index does not exist.
For more information on granting access to Kibana, see Granting access to Kibana.
Require Content Security Policyedit
Kibana uses a Content Security Policy to help prevent the browser from allowing
unsafe scripting, but older browsers will silently ignore this policy. If your
organization does not need to support Internet Explorer 11 or much older
versions of our other supported browsers, we recommend that you enable Kibana’s
strict mode for content security policy, which will block access to Kibana
for any browser that does not enforce even a rudimentary set of CSP
To do this, set
true in your
Load Balancing across multiple Elasticsearch nodesedit
If you have multiple nodes in your Elasticsearch cluster, the easiest way to distribute Kibana requests across the nodes is to run an Elasticsearch Coordinating only node on the same machine as Kibana. Elasticsearch Coordinating only nodes are essentially smart load balancers that are part of the cluster. They process incoming HTTP requests, redirect operations to the other nodes in the cluster as needed, and gather and return the results. For more information, see Node in the Elasticsearch reference.
To use a local client node to load balance Kibana requests:
- Install Elasticsearch on the same machine as Kibana.
Configure the node as a Coordinating only node. In
# 3. You want this node to be neither master nor data node nor ingest node, but # to act as a "search load balancer" (fetching data from nodes, # aggregating results, etc.) # node.master: false node.data: false node.ingest: false
Configure the client node to join your Elasticsearch cluster. In
elasticsearch.yml, set the
cluster.nameto the name of your cluster.
Check your transport and HTTP host configs in
transport.hostneeds to be on the network reachable to the cluster members, the
network.hostis the network for the HTTP connection for Kibana (localhost:9200 by default).
network.host: localhost http.port: 9200 # by default transport.host refers to network.host transport.host: <external ip> transport.tcp.port: 9300 - 9400
Make sure Kibana is configured to point to your local client node. In
elasticsearch.hostssetting should be set to
# The Elasticsearch instance to use for all your queries. elasticsearch.hosts: ["http://localhost:9200"]
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.
Settings unique across each Kibana instance:
Settings unique across each host (for example, running multiple installations on the same virtual machine):
logging.dest path.data pid.file server.port
Settings that must be the same:
xpack.security.encryptionKey //decrypting session information xpack.reporting.encryptionKey //decrypting reports xpack.encryptedSavedObjects.encryptionKey // decrypting saved objects xpack.encryptedSavedObjects.keyRotation.decryptionOnlyKeys // saved objects encryption key rotation, if any
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 in the configuration.
This avoids conflicts between cookies from the different Kibana instances.
In each cluster, Kibana instances should have the same
value. 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.
Currently the Console application is limited to connecting to the first node listed.
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 maximum memory limit of 1.4 GB, and in most cases, we recommend leaving this unconfigured. In some scenarios, such as large reporting jobs, it may make sense to tweak limits to meet more specific requirements.
You can modify this limit by setting
--max-old-space-size in the
node.options config file that can be found inside
kibana/config folder or any other configured with the environment variable
KBN_PATH_CONF (for example in debian based system would be
The option accepts a limit in MB: