How To Setup your Elasticsearch Cluster and Backup Data

How To Setup your Elasticsearch Cluster and Backup Data

In this tutorial, you will learn how to set up your own Elasticsearch cluster, add documents to an index in the cluster; and backup your data.

You may be familiar with some of the well-known SQL and NoSQL databases such as MySQL, MongoDB, and Postgresql. These databases are used primarily to store structured and unstructured data, though can also be used to query records, filter and sort by keywords. Elasticsearch on the other hand is an open source full text search engine; and it has been optimized for searching large datasets without requiring knowledge of a “querying language”.

It also integrates Kibana, a tool to visualize Elasticsearch data, that allows quick and intuitive searching of data. Elasticsearch supports storing, analyzing, and searching data in near real-time. It’s scalable, customizable, and lightning quick.

In this tutorial, you will learn how to set up your own Elasticsearch cluster, add documents to an index in the cluster; and backup your data.

Tutorial requirements

Set up Elasticsearch and creating a cluster

You can get Elasticsearch up and running by following the steps shown below.

There are multiple ways to set up an Elasticsearch cluster, in this tutorial we will run Elasticsearch locally on our new three-node cluster.

Download the appropriate Elasticsearch archive or follow the commands on this guide if you prefer:

We can extract the archive with terminal. Locate the tar file on your computer (I moved my file to Documents) If you chose to download Elasticsearch with [brew](https://www.elastic.co/guide/en/elasticsearch/reference/current/brew.html) or a similar command, you can scroll down to the brew installation steps.

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