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)

Monitoring

Elasticsearch exposes several APIs to monitor cluster health. In this section, we will discuss the native APIs and also X-Pack monitoring, which is available via Kibana. Kibana provides a nice UI and, more importantly, historical data to compare the metrics. You can open Kibana by going to the following URL:

http://localhost:5601/

The default username and password for Kibana are elastic and changeme. You should a screen similar to this:

You can see that monitoring is available for both Elasticsearch and Kibana. If you have Logstash installed, you can also monitor Logstash.

Monitoring Elasticsearch clusters

You can use _cluster API to retrieve the cluster stats:

GET /_cluster/stats/?human&pretty

Refer to the...