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Monitoring Hadoop
Gurmukh Singh
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eBook - ePub
Monitoring Hadoop
Gurmukh Singh
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Information
Subtopic
Tratamiento de datosMonitoring Hadoop
Table of Contents
Monitoring Hadoop
Credits
About the Author
About the Reviewers
www.PacktPub.com
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Free access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Errata
Piracy
Questions
1. Introduction to Monitoring
The need for monitoring
The monitoring tools available in the market
Nagios
Nagios architecture
Prerequisites for installing and configuring Nagios
Prerequisites
Installing Nagios
Web interface configuration
Nagios plugins
Verification
Configuration files
Setting up monitoring for clients
Ganglia
Ganglia components
Ganglia installation
System logging
Collection
Transportation
Storage
Alerting and analysis
The syslogd and rsyslogd daemons
Summary
2. Hadoop Daemons and Services
Hadoop daemons
NameNode
DataNode and TaskTracker
Secondary NameNode
JobTracker and YARN daemons
The communication between daemons
YARN framework
Common issues faced on Hadoop cluster
Host-level checks
Nagios server
Configuring Hadoop nodes for monitoring
Summary
3. Hadoop Logging
The need for logging events
System logging
Logging levels
Logging in Hadoop
Hadoop logs
Hadoop log level
Hadoop audit
Summary
4. HDFS Checks
HDFS overview
Nagios master configuration
The Nagios client configuration
Summary
5. MapReduce Checks
MapReduce overview
MapReduce control commands
MapReduce health checks
Nagios master configuration
Nagios client configuration
Summary
6. Hadoop Metrics and Visualization Using Ganglia
Hadoop metrics
Metrics contexts
Named contexts
Metrics system design
Metrics configuration
Configuring Metrics2
Exploring the metrics contexts
Hadoop Ganglia integration
Hadoop metrics configuration for Ganglia
Setting up Ganglia nodes
Hadoop configuration
Metrics1
Metrics2
Ganglia graphs
Metrics APIs
The org.apache.hadoop.metrics package
The org.apache.hadoop.metrics2 package
Summary
7. Hive, HBase, and Monitoring Best Practices
Hive monitoring
Hive metrics
HBase monitoring
HBase Nagios monitoring
HBase metrics
Monitoring best practices
The Filter class
Nagios and Ganglia best practices
Summary
Index
Monitoring Hadoop
Copyright © 2015 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: April 2015
Production reference: 1240415
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78328-155-8
www.packtpub.com
Credits
Author
Gurmukh Singh
Reviewers
David Greco
Randal Scott King
Yousuf Qureshi
Acquisition Editor
Meeta Rajani
Content Development Editor
Siddhesh Salvi
Technical Editor
Parag Topre
Copy Editors
Hiral Bhat
Sarang Chari
Tani Kothari
Trishla Singh
Project Coordinator
Nidhi Joshi
Proofreaders
Safis Editing
Paul Hindle
Indexer
Hemangini Bari
Graphics
Disha Haria
Production Coordinator
Melwyn D'sa
Cover Work
Melwyn D'sa
About the Author
Gurmukh Singh has been an infrastructure engineer for over 10 years and has worked on big data platforms in the past 5 years. He started his career as a field engineer, setting up lease lines and radio links. He has vast experience in enterprise servers and network design and in scaling infrastructures and tuning them for performance. He is the founder of a small start-up called Netxillon Technologies, which is into big data training and consultancy. He talks at various technical meetings and is an active participant in the open source community's activities. He writes at http://linuxaddict.org and maintains his Github account at https://github.com/gdhillon.
About the Reviewers
David Greco is a software architect with more than 27 years of experience. He started his career as ...