Disk underutilized on hot tier
Hot tier nodes are using only a small share of their allocated disk space. You might be paying for capacity you do not need for current data volume.
For a complete list of insights, refer to AutoOps insights.
| Field | Value |
|---|---|
| Component | Elasticsearch |
| Severity | Low |
| Scope | Node |
| Domains | disk-storage, resource-utilization |
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.
Disk is underutilized on hot tier.
We detected low disk utilization on the following node: es-data-01 and es-data-02. The node is only utilizing 85% of the available disk space. According to best practices and considerations of capacity planning, you might be able to reduce the disk allocation, thereby reducing the optimizing resource utilization. This can be done by moving to smaller disks or reducing the number of data nodes.
AutoOps shows different recommendations depending on how their conditions match your deployment or cluster.
Reduce disk size on data nodes
Condition: Always shown for this insight.
Disk usage on hot nodes is below 48 GB%. Switch to smaller disks to improve utilization while keeping enough headroom for growth.
Reduce data node count
Condition: Always shown for this insight.
Disk usage on hot nodes is below 48 GB%. Scale down the tier if remaining capacity still meets your headroom target.
If there is more disk space allocated to the cluster than needed, there is likely potential to optimize resource utilization. By moving to smaller disks or scaling down the deployment, you can achieve optimal disk utilization.