Book Image

Monitoring Elasticsearch

By : Dan Noble, Pulkit Agrawal, Mahmoud Lababidi
Book Image

Monitoring Elasticsearch

By: Dan Noble, Pulkit Agrawal, Mahmoud Lababidi

Overview of this book

ElasticSearch is a distributed search server similar to Apache Solr with a focus on large datasets, a schema-less setup, and high availability. This schema-free architecture allows ElasticSearch to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses with petabytes of unstructured data. This book is your toolkit to teach you how to keep your cluster in good health, and show you how to diagnose and treat unexpected issues along the way. You will start by getting introduced to ElasticSearch, and look at some common performance issues that pop up when using the system. You will then see how to install and configure ElasticSearch and the ElasticSearch monitoring plugins. Then, you will proceed to install and use the Marvel dashboard to monitor ElasticSearch. You will find out how to troubleshoot some of the common performance and reliability issues that come up when using ElasticSearch. Finally, you will analyze your cluster’s historical performance, and get to know how to get to the bottom of and recover from system failures. This book will guide you through several monitoring tools, and utilizes real-world cases and dilemmas faced when using ElasticSearch, showing you how to solve them simply, quickly, and cleanly.
Table of Contents (15 chapters)
Monitoring Elasticsearch
About the Author
About the Reviewers

Installing Elasticsearch

At the time of writing this book, Elasticsearch 2.3.2 is the current stable release and Elasticsearch 5 is in alpha testing. For production clusters, we recommend using the 2.3.2 release and quickly updating to the 5 general availability (GA) release once it is available. Note that while Elasticsearch 5 is compatible with indices created in Elasticsearch 2.x, there have also been some API changes and feature deprecations after the 1.x release. Readers should account for these important changes before upgrading. More details on upgrading from 2.x to 5 can be found on the Elastic website at the following URLS:

Notable API changes include the following:

  • Indices from Elasticsearch 1.x must first be upgraded to 2.x before finally moving to version 5

  • The deprecated filtered, or, and and queries were removed in favor of the bool, must, and should...