Type to search.

Loaded coordinating nodes

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.

ECK

Elastic Cloud on Kubernetes extends Kubernetes orchestration capabilities to allow you to deploy and manage components of the Elastic Stack.

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.

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.

Some coordinating nodes show materially higher CPU utilization than their peers. Uneven coordinating load can bottleneck search and bulk requests and lead to timeouts on the busiest nodes.

Note

For a complete list of insights, refer to AutoOps insights.

Field Value
Component Elasticsearch
Severity Medium
Scope Node
Domains performance, search, resource-utilization

You can customize these settings to adjust when AutoOps detects this event and presents the insight. Refer to AutoOps event settings for details.

The default customization settings are:

Setting Type Default
CPU percent above peer baseline Integer 180
Consecutive samples meeting the imbalance conditions Integer 3
Minimum CPU utilization to consider a node loaded Integer 1

The following is an example of what you might see when this insight is triggered. Real insights use live data and links from your deployment or cluster.

CPU utilization on es-data-01 and es-data-02 is sustained above the peer baseline for coordinating nodes.

  • Indices with high search activity: logs-prod-000045

  • Indices with high indexing activity: logs-prod-000045

Note

AutoOps shows different recommendations depending on how their conditions match your deployment or cluster.

Restart coordinating node

Condition: Shown when coordinating node CPU load is unbalanced.

Restart the coordinating node (es-data-01) to clear stuck work, free memory, and reshuffle client connections.

Coordinating nodes fan out search and indexing requests and gather responses. When a few absorb most client traffic, those nodes become bottlenecks while other coordinating nodes sit underused. A common cause is clients that pin requests to a subset of endpoints instead of spreading across the coordinating pool.

If the imbalance persists, queries and bulks on the overloaded nodes are more likely to time out.