Book Image

Hadoop Operations and Cluster Management Cookbook

By : Shumin Guo
Book Image

Hadoop Operations and Cluster Management Cookbook

By: Shumin Guo

Overview of this book

<p>We are facing an avalanche of data. The unstructured data we gather can contain many insights that could hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop is one of the most highly sought after skills in today's job market. Hadoop, by combining the computing and storage powers of a large number of commodity machines, solves this problem in an elegant way!</p> <p>Hadoop Operations and Cluster Management Cookbook is a practical and hands-on guide for designing and managing a Hadoop cluster. It will help you understand how Hadoop works and guide you through cluster management tasks.</p> <p>This book explains real-world, big data problems and the features of Hadoop that enables it to handle such problems. It breaks down the mystery of a Hadoop cluster and will guide you through a number of clear, practical recipes that will help you to manage a Hadoop cluster.</p> <p>We will start by installing and configuring a Hadoop cluster, while explaining hardware selection and networking considerations. We will also cover the topic of securing a Hadoop cluster with Kerberos, configuring cluster high availability and monitoring a cluster. And if you want to know how to build a Hadoop cluster on the Amazon EC2 cloud, then this is a book for you.</p>
Table of Contents (15 chapters)
Hadoop Operations and Cluster Management Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Introduction


System monitoring is critical for maintaining the health and availability for large distributed systems such as Hadoop. General monitoring tasks include monitoring the health of cluster nodes and networks, for example, the usage of memory, heap, CPU, network, and so on. For a Hadoop cluster, we may also want to monitor some specific metrics, such as the status of jobs and tasks in the cluster, the status of the JobTracker, TaskTracker, NameNode, and DataNode.

Hadoop is lucky to be born in an open source world! A number of very stable open source tools for system monitoring are there waiting to join the Hadoop family, and many of these systems have been adopted by Hadoop for monitoring purposes.

In this chapter, we will first introduce the management framework, Java Management Extension (JMX) for system monitoring. Next, we will introduce two famous open source cluster monitoring systems: Ganglia and Nagios. Ganglia is an open source scalable monitoring system. Monitoring daemons...