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Maintenance

ECH

Elastic Cloud Hosted lets you manage and configure one or more deployments of the versioned Elastic Stack, hosted on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

ECE

Elastic Cloud Enterprise is a self-managed orchestration platform for deploying and managing the Elastic Stack at scale.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Self-managed

Self-managed deployments are Elastic Stack deployments managed without the assistance of an orchestrator.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

This section outlines the key tasks and processes required to maintain a healthy, performant, and secure Elasticsearch infrastructure and its deployments.

The topics covered include:

  • ECE maintenance: Explains the procedures for maintaining both the host infrastructure and Elasticsearch deployments within Elastic Cloud Enterprise (ECE).
  • Start and stop services: Provides step-by-step instructions on how to safely start and stop your Elasticsearch deployment or Kibana instance, particularly when performing actions that require a restart.
  • Start and stop routing requests: Start or stop routing requests to an Elastic Cloud Hosted or Elastic Cloud Enterprise deployment, or to all instances on an allocator in Elastic Cloud Enterprise.
  • Add and remove Elasticsearch nodes on self-managed clusters: Guides you through the process of enrolling new nodes or safely removing existing ones from a self-managed Elasticsearch cluster to optimize resource utilization and cluster performance.