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 instance Applying a new plan: Checking on progress »

› › ›

Applying a new plan: Resize and add high availability

edit

IMPORTANT: This documentation is no longer updated. Refer to Elastic's version policy and the latest documentation.

Applying a new plan: Resize and add high availability

edit

In an earlier example, we created a simple deployment called My First Deployment that included only a small Elasticsearch cluster with a single node in a single availability zone. This Elasticsearch cluster in our deployment is very small with only 1024 MB of RAM. Any serious indexing activity will likely require more capacity, so let’s change memory_per_node to 4096. To make the cluster in our deployment highly available, let’s also change the value of zone_count to 3, which will create Elasticsearch nodes across three availability zones.

Before you begin

edit

This example requires a deployment with an Elasticsearch cluster to work with that is not being used for anything important. If you don’t already have one, you can follow our My First Deployment example to create one.

To make the cluster highly available, your Elastic Cloud Enterprise installation must include more than one availability zone, which is something you control with the --availability-zone parameter when you install Elastic Cloud Enterprise on additional hosts. If you don’t have additional availability zones to work with, you can perform just a resize operation.

Steps

edit

To resize a deployment and add high availability:

Obtain the existing configuration plan for My First Deployment and save the output to a file, here my-first-deployment.json:
```
curl -k -X GET -u USER:PASSWORD https://COORDINATOR_HOST:12443/api/v1/clusters/elasticsearch/ELASTICSEARCH_CLUSTER_ID/plan >my-first-deployment.json
```
ELASTICSEARCH_CLUSTER_ID

The Elasticsearch cluster ID as shown in the Cloud UI or obtained via the API

Edit the my-first-deployment.json file in your favorite editor and change the value of memory_per_node to 4096 and the value of zone_count to 3:

{
  "cluster_topology": [
      {
          "node_type": {
              "data": true,
              "master": true,
              "ingest": true
          },
          "instance_configuration_id": "data.default",
          "zone_count": 3,
          "size": {
              "resource": "memory",
              "value": 4096
          }
      }
  ],
  "elasticsearch": {
      "version": "6.5.4"
  }
}

Apply the updated cluster configuration to the deployment with a POST request:

curl -k -X POST -u USER:PASSWORD https://COORDINATOR_HOST:12443/api/v1/clusters/elasticsearch/$ELASTICSEARCH_CLUSTER_ID/plan -H 'content-type: application/json' -d @my-first-deployment.json

After the plan gets applied successfully, the Elasticsearch cluster in your deployment provides 4096 MB of memory and is highly available, which you can verify by checking in the Cloud UI or performing another GET request on the /api/v1/clusters/elasticsearch/$ELASTICSEARCH_CLUSTER_ID/plan endpoint.

« Create a Deployment: Elasticsearch Cluster and Kibana instance Applying a new plan: Checking on progress »