Book Image

Learning Elasticsearch

By : Abhishek Andhavarapu
Book Image

Learning Elasticsearch

By: Abhishek Andhavarapu

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
Table of Contents (11 chapters)
10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Summary

In this chapter, we discussed Elastic Cloud, which is the scalable cloud offering for Elasticsearch and Kibana. We also discussed various features of X-Pack. With monitoring and alerting, you can make sure your cluster is up and running and that your data is always available.

Although Elasticsearch started as a search engine, it is evolving as an analytics engine. In this chapter, we discussed Graph, which can be used to discover relations in your data. We used the example of an e-commerce store to make recommendations, but this functionality has great potential. For example, for fraud detection or to find out the similarity between customers who like or don't like your product have in common. The graph provides actionable insights into your data.

The alert and notification system that we discussed in this chapter is very flexible. We used alerting to get notified...