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


This chapter examined the Elasticsearch monitoring tool Kopf, the Elasticsearch, Logstash, and Kibana (ELK) log aggregation stack, the system monitoring tool Nagios, and various GNU/Linux command line utilities.

Some takeaways are:

  • Kopf is an Elasticsearch monitoring tool similar to Elasticsearch-head, but provides a few different metrics.

  • The Elasticsearch, Logstash, and Kibana (ELK) stack is a tool for searching, analyzing, enriching, and visualizing log files.

  • Consider using a tool such as Nagios to monitor an Elasticsearch cluster. Nagios can be configured to send out email notifications when a process goes down or if the node itself goes down.

  • Using a few GNU/Linux command tools, we can gather many of the same metrics provided by the various Elasticsearch monitoring tools.

The next chapter will discuss troubleshooting Elasticsearch performance and reliability issues. The monitoring tools discussed in this chapter will be useful when tackling the real-world problems outlined in upcoming...