1. Log in to your AWS Management Console.
2. Go to the Elasticsearch service dashboard.
3. Select the Elasticsearch cluster that needs remediation.
4. Click on the “Modify” button.
5. Scroll down to the “Dedicated master nodes” section.
6. Enable the “Dedicated master nodes” option.
7. Select the instance type for the dedicated master nodes.
8. Choose the number of dedicated master nodes you want to have.
9. Click on the “Review and Submit” button.
10. Review the changes you made and click on the “Submit” button to apply the changes.

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1. Open the AWS CLI on your local computer or EC2 instance.
2. Get the Elasticsearch domain name using the following command:

aws es list-domain-names

3. Get the Elasticsearch cluster configuration using the following command:

aws es describe-elasticsearch-domain --domain-name <your_domain_name>

4. Check if the Dedicated Master is enabled or not. If it is not enabled, you will see “false” in the output of the above command.
5. To enable the Dedicated Master, use the following command:

aws es update-elasticsearch-domain-config --domain-name <your_domain_name> --elasticsearch-cluster-config '{"DedicatedMasterEnabled":true,"ZoneAwarenessEnabled":true,"DedicatedMasterCount":3,"InstanceType":"m4.large.elasticsearch","ZoneAwarenessConfig":{"AvailabilityZoneCount":2}}'

6. Wait for a few minutes for the changes to take effect.
7. Verify the configuration by running the same command as step 3.
8. Check if the Dedicated Master is enabled or not. If it is enabled, you will see “true” in the output of the above command.

1. Install the AWS SDK for Python (Boto3) using the following command:

pip install boto3

2. Create an AWS Elastic Cloud Compute (EC2) instance and install Elasticsearch on it. You can use the following code to create an EC2 instance:

import boto3

ec2 = boto3.resource('ec2', region_name='your_region')

instance = ec2.create_instances(
    ImageId='your_ami_id',
    InstanceType='your_instance_type',
    KeyName='your_key_pair_name',
    MinCount=1,
    MaxCount=1
)

3. Install the Elasticsearch Python client using the following command:

pip install elasticsearch

4. Use the Elasticsearch Python client to enable dedicated master nodes for the Elasticsearch cluster. You can use the following code:

from elasticsearch import Elasticsearch

es = Elasticsearch([
    {'host': 'your_elasticsearch_host', 'port': 'your_elasticsearch_port'}
])

# Enable dedicated master nodes
es.cluster.put_settings(body={
    "persistent": {
        "discovery": {
            "zen": {
                "minimum_master_nodes": 2
            }
        }
    }
})

5. Verify that dedicated master nodes have been enabled by checking the Elasticsearch cluster settings using the following code:

# Get Elasticsearch cluster settings
settings = es.cluster.get_settings()

# Check if dedicated master nodes are enabled
if settings['persistent']['discovery']['zen']['minimum_master_nodes'] == 2:
    print("Dedicated master nodes enabled")
else:
    print("Dedicated master nodes not enabled")

6. Delete the EC2 instance that you created in step 2 using the following code:

# Get EC2 instance ID
instance_id = instance[0].instance_id

# Terminate EC2 instance
ec2.instances.filter(InstanceIds=[instance_id]).terminate()