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
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

James A. Cubeta is a computer scientist with more than 20 years of experience, spanning government contracting, commercial companies, and research organizations. With a technical emphasis on data management, ETL, multi-tier application development, and relational and NoSQL databases, he has also helped author Java courses at Sun Microsystems and served as a technical reviewer for O'Reilly Media's extremely successful book Head First Java. He is currently a senior technologist at the HumanGeo Group, LLC.

Joseph E McMahon is a computer scientist with over 25 years of experience developing distributed systems with a focus on effective and performant messaging components. He has vast experience integrating geospatial solutions and data collection architectures. Currently, he leads a division in The HumanGeo Group supporting a variety of government customers. When not coding, he enjoys cooking, woodworking, and traveling with his wife and three children.

Parkhe Kishor B. received a BSc degree and an MTech degree in industrial mathematics and computer applications from the University of Pune. He joined High Mark Credit Information Service in 2012, where he worked as senior software engineer in the research and development department. He also has experience working in information retrieval, big data, and distributed computing. He is currently working as a design engineer at Introp Software Solutions, India. He is frequently a consultant to the industry in the area of big data, NoSQL, machine learning, artificial intelligence, and business intelligence.