Its hard to give a direct answer since the error your seeing might be associated with the client you are using. However a solution might be one of the following:
1.Increase the default timeout Globally when you create the ES client by passing the timeout parameter. Example in Python
es = Elasticsearch(timeout=30)
2.Set the timeout per request made by the client. Taken from Elasticsearch Python docs below.
# only wait for 1 second, regardless of the client's default
es.cluster.health(wait_for_status='yellow', request_timeout=1)
The above will give the cluster some extra time to respond
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