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Loaded Data Nodes

Data nodes in the cluster are imbalanced: some show materially higher CPU or load than others. Unbalanced data nodes reduce headroom for indexing and search and can cause timeouts on overloaded hosts.

Note

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

Field Value
Component Elasticsearch
Severity Medium
Scope Node
Domains performance, 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
Loaded node load percent above baseline Integer 180
Successive samplings to trigger Integer 3
The minimum value to consider as high Integer 1
Search queue threshold Integer 5
Write queue threshold Integer 1
Tip

Raising these thresholds reduces noise but delays detection. Lowering them triggers the insight sooner but can increase alerts during minor blips.

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.

The affected node/s are: es-data-01 and es-data-02 High search activity indices:logs-prod-000045 High indexing activity indices:logs-prod-000045

Note

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

Impact: This might cause a bottleneck to form and reduce search and indexing performance. The load of some data nodes is unbalanced. The CPU and load on some data nodes is higher than on others. This can be caused by applications that are not load balancing correctly across the data nodes, or by “hot” indices being located on a small number of nodes, causing indexing to be done on a small number of shards.