Using Kibana in a production environment
editUsing Kibana in a production environment
editHow 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.
Using Elastic Stack security features
editYou 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 the kibana_user
role 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. The security features do not currently provide a way to control which users can load which dashboards.
For information about setting up Kibana users, see Configuring security in Kibana.
Enabling SSL
editSee Encrypting communications.
Load Balancing Across Multiple Elasticsearch Nodes
editIf 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
elasticsearch.yml
, setnode.data
,node.master
andnode.ingest
tofalse
:# 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 thecluster.name
to the name of your cluster.cluster.name: "my_cluster"
-
Check your transport and HTTP host configs in
elasticsearch.yml
undernetwork.host
andtransport.host
. Thetransport.host
needs to be on the network reachable to the cluster members, thenetwork.host
is 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
kibana.yml
, theelasticsearch.hosts
setting should be set to["localhost:9200"]
.# The Elasticsearch instance to use for all your queries. elasticsearch.hosts: ["http://localhost:9200"]