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« Create a hosted deployment What deployment settings are available? »
Elastic Docs ›Elasticsearch Service Documentation ›Preparing a deployment for production

Change your configuration

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Change your configuration

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You might want to change the configuration of your deployment to:

  • Add features, such as machine learning or APM (application performance monitoring).

  • Increase or decrease capacity by changing the amount of reserved memory and storage for different parts of your deployment.

    During the free trial, Elasticsearch Service deployments are restricted to a limited size. You can increase the size of your deployments when your trial is converted to a paid subscription.

  • Enable autoscaling so that the available resources for deployment components, such as data tiers and machine learning nodes, adjust automatically as the demands on them change over time.
  • Enable high availability, also known as fault tolerance, by adjusting the number of data center availability zones that parts of your deployment run on.
  • Upgrade to new versions of Elasticsearch. You can upgrade from one major version to another, such as from 6.8.23 to 7.17.28, or from one minor version to another, such as 6.1 to 6.2. You can’t downgrade versions.
  • Change what plugins are available on your Elasticsearch cluster.

With the exception of major version upgrades for Elastic Stack products, Elasticsearch Service can perform configuration changes without having to interrupt your deployment. You can continue searching and indexing. The changes can also be done in bulk. For example: in one action, you can add more memory, upgrade, adjust the number of Elasticsearch plugins and adjust the number of availability zones.

We perform all of these changes by creating instances with the new configurations that join your existing deployment before removing the old ones. For example: if you are changing your Elasticsearch cluster configuration, we create new Elasticsearch nodes, recover your indexes, and start routing requests to the new nodes. Only when all new Elasticsearch nodes are ready, do we bring down the old ones.

By doing it this way, we reduce the risk of making configuration changes. If any of the new instances have a problems, the old ones are still there, processing requests.

If you use a Platform-as-a-Service provider like Heroku, the administration console is slightly different and does not allow you to make changes that will affect the price. That must be done in the platform provider’s add-on system. You can still do things like change Elasticsearch version or plugins.

To change your deployment:

  1. Log in to the Elasticsearch Service Console.

  2. Find your deployment on the home page in the Elasticsearch Service card and select Manage to access it directly. Or, select Hosted deployments to go to the deployments page to view all of your deployments.

    On the deployments page you can narrow your deployments by name, ID, or choose from several other filters. To customize your view, use a combination of filters, or change the format from a grid to a list.

  3. From the deployment menu, select Edit.

  4. Let the user interface guide you through the cluster configuration for your cluster. For a full list of the supported settings, check What Deployment Settings Are Available?

    If you are changing an existing deployment, you can make multiple changes to your Elasticsearch cluster with a single configuration update, such as changing the capacity and upgrading to a new Elasticsearch version in one step.

  5. Save your changes. The new configuration takes a few moments to create.

Review the changes to your configuration on the Activity page, with a tab for Elasticsearch and one for Kibana.

If you are creating a new deployment, select Edit settings to change the cloud provider, region, hardware profile, and stack version; or select Advanced settings for more complex configuration settings.

That’s it! If you haven’t already, start exploring with Kibana, our visualization tool. If you’re not familiar with adding data yet, Kibana can show you how to index your data into Elasticsearch, or try our basic steps for working with Elasticsearch.

Some features are not available during the 14-day free trial. If a feature is greyed out, add a credit card to unlock the feature.

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