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)

Production and Beyond

This chapter is a flight checklist before going to production. You’ll learn about some important Elasticsearch metrics to monitor once you are in production. Since Elasticsearch is an open source, there are a lot of configurable settings. You’ll learn about some of the most important settings and how to tailor them to your needs. You'll also learn how to install X-Pack and use the monitoring feature of X-Pack.

In this chapter, we will cover the following topics:

  • Configuration
  • Cluster API
  • Monitoring
  • X-Pack
  • Thread Pools
  • Elasticsearch server logs