Diagnose and Repair Elasticsearch Clusters

3 hours
  • 3 Learning Objectives

About this Hands-on Lab

When configured correctly, Elasticsearch clusters are highly available and fault tolerant. That doesn’t necessarily mean they are impervious to failure. Human error and hardware failure are always a possibility. Troubleshooting data availability issues on a distributed system can be a challenge so let’s take some time to demystify some basic troubleshooting routines when you notice yellow or even red indexes in your Elasticsearch cluster. In this hands-on lab, you are given the opportunity to:

* Use the `_cat` APIs to quickly get vital information about your cluster
* Use the `_cluster/allocation/explain` API to find out why and index is or is not allocated
* Use the `_settings` API to quickly update index settings

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Troubleshoot the “accounts-1” index.

Using the Secure Shell (SSH), log in to the data-2 and data-3 nodes as cloud_user via the public IP address.

Become the elastic user with:

sudo su - elastic

Start the elasticsearch node with:

/home/elastic/elasticsearch/bin/elasticsearch -d -p pid

Use the Kibana console tool to execute the following:

PUT accounts-1/_settings
{
  "number_of_replicas": 3
}
Troubleshoot the “accounts-2” index.

Use the Kibana console tool to execute the following:

PUT accounts-2/_settings
{
  "number_of_replicas": 3
}
Troubleshoot the “accounts-3” index.

Use the Kibana console tool to execute the following:

PUT accounts-3/_settings
{
  "index.routing.allocation.exclude._name": null
}

Additional Resources

You are the new administrator for a 6-node Elasticsearch cluster. Upon taking ownership of the cluster, you find that several indexes are in a yellow state and at least one index is in a red state. You are being asked by your superiors to prioritize troubleshooting of the index allocation issues above all other work.

To use Kibana, navigate to the public IP address of the coordinator-1 node in your web browser and login with:

  • Username: elastic
  • Password: la_elastic_409

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