﻿---
title: Fix master nodes out of disk
description: Elasticsearch is using master nodes to coordinate the cluster. If the master or any master eligible nodes are running out of space, you need to ensure...
url: https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/3874/troubleshoot/elasticsearch/fix-master-node-out-of-disk
products:
  - Elasticsearch
---

# Fix master nodes out of disk
Elasticsearch is using master nodes to coordinate the cluster. If the master or any master eligible nodes are running out of space, you need to ensure that they have enough disk space to function. If the [health API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-health-report) reports that your master node is out of space you need to increase the disk capacity of your master nodes.
<tab-set>
  <tab-item title="Elastic Cloud Hosted">
    1. Log in to the [Elastic Cloud console](https://cloud.elastic.co?page=docs&placement=docs-body).
    2. On the **Hosted deployments** panel, click the gear under the `Manage deployment` column that corresponds to the name of your deployment.
    3. Go to `Actions > Edit deployment` and then go to the `Master instances` section:
       ![](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/3874/troubleshoot/images/elasticsearch-reference-increase-disk-capacity-master-node.png)

    1. Choose a larger than the pre-selected capacity configuration from the drop-down menu and click `save`. Wait for the plan to be applied and the problem should be resolved.
  </tab-item>

  <tab-item title="Self-managed">
    In order to increase the disk capacity of a master node, you will need to replace **all** the master nodes with master nodes of higher disk capacity.
    1. First, retrieve the disk threshold that will indicate how much disk space is needed. The relevant threshold is the [high watermark](https://docs-v3-preview.elastic.dev/elastic/elasticsearch/tree/main/reference/elasticsearch/configuration-reference/cluster-level-shard-allocation-routing-settings#cluster-routing-watermark-high) and can be retrieved via the following command:
       ```json
       ```
       The response will look like this:
       ```json
       {
         "defaults": {
           "cluster": {
             "routing": {
               "allocation": {
                 "disk": {
                   "watermark": {
                     "high": "90%",
                     "high.max_headroom": "150GB"
                   }
                 }
               }
             }
           }
         }
       ```
       The above means that in order to resolve the disk shortage we need to either drop our disk usage below the 90% or have more than 150GB available, read more how this threshold works [here](https://docs-v3-preview.elastic.dev/elastic/elasticsearch/tree/main/reference/elasticsearch/configuration-reference/cluster-level-shard-allocation-routing-settings#cluster-routing-watermark-high).
    2. The next step is to find out the current disk usage, this will allow to calculate how much extra space is needed. In the following example, we show only the master nodes for readability purposes:
       ```json
       ```
       The response will look like this:
       ```json
       name                master node.role disk.used_percent disk.used disk.avail disk.total
       instance-0000000000 *      m                    85.31    3.4gb     500mb       4gb
       instance-0000000001 *      m                    50.02    2.1gb     1.9gb       4gb
       instance-0000000002 *      m                    50.02    1.9gb     2.1gb       4gb
       ```
    3. The desired situation is to drop the disk usages below the relevant threshold, in our example 90%. Consider adding some padding, so it will not go over the threshold soon. If you have multiple master nodes you need to ensure that **all** master nodes will have this capacity. Assuming you have the new nodes ready, follow the next three steps for every master node.
    4. Bring down one of the master nodes.
    5. Start up one of the new master nodes and wait for it to join the cluster. You can check this via:
       ```json
       ```
    6. Only after you have confirmed that your cluster has the initial number of master nodes, move forward to the next one until all the initial master nodes have been replaced.
  </tab-item>
</tab-set>