It is time to say goodbye: This version of Elastic Cloud Enterprise has reached end-of-life (EOL) and is no longer supported.
The documentation for this version is no longer being maintained. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Create a Deployment: Elasticsearch Cluster and Kibana instanceedit
In the below example we will create a deployment that includes both an Elasticsearch cluster and a Kibana instance. This will allow you to also use Kibana to create visualizations dashboards, etc.
curl -k -X POST -u USER:PASSWORD https://COORDINATOR_HOST:12443/api/v1/clusters/elasticsearch -H 'content-type: application/json' -d '{
"cluster_name" : "My First elasticsearch and kibana Deployment",
"plan" : {
"elasticsearch" : {
"version" : "7.0.1"
},
"cluster_topology" : [
{
"memory_per_node" : 2048,
"node_count_per_zone" : 1,
"node_type" : {
"data" : true,
"ingest" : true,
"master" : true,
"ml" : true
},
"zone_count" : 1
}
]
},
"kibana" : {
"cluster_name" : "My First elasticsearch and kibana Deployment",
"plan" : {
"cluster_topology" : [
{
"instance_configuration_id" : "kibana",
"memory_per_node" : 1024,
"node_count_per_zone" : 1,
"zone_count" : 1
}
],
"kibana" : {
"version" : "7.0.1"
}
}
}
}'
After the API call completes, Elastic Cloud Enterprise will again return Elasticsearch cluster ID and this time also Kibana ID along with the password for the elastic superuser. Write this information down and keep it somewhere safe.
{
"elasticsearch_cluster_id": "$ELASTICSEARCH_CLUSTER_ID",
"kibana_cluster_id": "$KIBANA_CLUSTER_ID",
"credentials": {
"username": "elastic",
"password": "$PASSWORD"
}
}
Kibana will be available at the following endpoint https://KIBANA_CLUSTER_ID.ECE_CNAME:9243/ and you can use the elastic user and returned random password when you first login.