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

System and data architecting

This section covers strategies to improve overall system performance, data indexing performance, and to maximize storage space.

Hot-Warm architecture

For time-series data, including Twitter and other social media data as well as data from Logstash, recommends setting up what they have dubbed a Hot-Warm architecture. This setup puts nodes into three groups.

Master nodes

Ideally, dedicate three nodes as master nodes that do not store data or fulfill queries. These machines don't need to be very powerful; they just perform cluster management operations.

Hot nodes

Hot nodes hold the most recent data indices. All data writes are directed at these machines, and they are likely the most-frequently queried nodes. recommends equipping hot nodes with solid state drives (SSDs) for better I/O performance.

Warm nodes

In this architecture, data is not being written to warm nodes; instead, they contain historical time-based data. For example, if we create a new...