Elasticsearch performance optimizations
Elastic Cloud Hosted lets you manage and configure one or more deployments of the versioned Elastic Stack, hosted on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Elastic Cloud on Kubernetes extends Kubernetes orchestration capabilities to allow you to deploy and manage components of the Elastic Stack. Availability 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. Elastic Cloud Enterprise is a self-managed orchestration platform for deploying and managing the Elastic Stack at scale. Availability 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 deployments are Elastic Stack deployments managed without the assistance of an orchestrator. Availability 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.
ECH
Generally available
ECK
Generally available
ECE
Generally available
Self-managed
Generally available
Elasticsearch's default settings provide a good out-of-box experience for basic operations like full text search, highlighting, aggregations, and indexing.
However, there are a number of optimizations you can make to improve performance for your use case. This section includes both deployment-level configuration suggestions and usage-level guidance to optimize the performance of your cluster.
Use the following topics to explore relevant strategies:
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For additional guidance specific to ES|QL queries, refer to Optimize ES|QL query performance.
For additional guidance specific to EQL queries, refer to How functions impact search performance.
Many Elasticsearch options come with different performance considerations and trade-offs. The best way to determine the optimal configuration for your use case is through testing with your own data and queries.