Elasticsearch : The Open source, Distributed, RESTful, JSON-based search engine ready for the big data

Elasticsearch is the distributed search and analytics engine at the heart of the Elastic Stack. Logstash and Beats facilitate collecting, aggregating and enriching your data and storing it in Elasticsearch. Kibana enables you to interactively explore, visualize, and share insights into your data and manage and monitor the stack. Elasticsearch is where the indexing, search, and analysis magic happens.

In this essay, I will mainly expose ElasticSearch and Kibana, two tools of the Elastic suite on which I had an experience.

First ElasticSearch in one and then Kibana in another, to reduce the volume of the article.

Let’s go for ElasticSearch ;)

The Open source, Distributed, RESTful, JSON-based search engine. Easy to use, scalable and flexible, it earned hyper-popularity among users and a company formed around it, you know, for search.

Elasticsearch is the distributed, RESTful search and analytics engine at the heart of the Elastic Stack.

You can use Elasticsearch to store, search, and manage data for :

• Logs
• Metrics
• A search backend