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Monitoring Hadoop, by Gurmukh Singh
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Get to grips with the intricacies of Hadoop monitoring using the power of Ganglia and Nagios
About This Book- Track Hadoop operations, errors, and bottlenecks efficiently
- Employ Hadoop logging features to help manage Hadoop clusters better
- Visualize the data collected and present it in a systematic manner
This book is useful for Hadoop administrators who need to learn how to monitor and diagnose their clusters. Also, the book will prove useful for new users of the technology, as the language used is simple and easy to grasp.
What You Will Learn- Install Nagios and Ganglia and understand logging at the operating system level
- Create and configure Nagios nodes for monitoring with custom checks
- Monitor Hadoop daemons such as NameNode, DataNode, JobTracker, and so on
- Configure logs for various daemons and set up audits for the options done on the cluster
- Track important parameters for the File System, MapReduce, and other counters
- Set up Nagios master and client nodes with checks for the system and applications running on it
- Configure the Hadoop metrics collection and visualize it for nontechnical users
- Understand the communication between different daemons and protocols and the ports they use
With the exponential growth of data and many enterprises crunching more and more data, Hadoop as a data platform has gained a lot of popularity. The Hadoop platform needs to be monitored with respect to how it works and functions. There is an ever-increasing need to keep the Hadoop platform clean and healthy.
This book will help you to integrate Hadoop and Nagios in a seamless and easy way. At the start, the book covers the basics of operating system logging and monitoring. Getting to grips with the characteristics of Hadoop monitoring, metrics, and log collection will help Hadoop users, especially Hadoop administrators, diagnose and troubleshoot clusters better. In essence, the book teaches you how to set up an all-inclusive and robust monitoring system for the Hadoop platform. The book also serves as a quick reference to the various metrics available in Hadoop.
Concluding with the visualization of Hadoop metrics, you will get acquainted with the workings of Hadoop in a short span of time with the help of step-by-step instructions in each chapter.
- Sales Rank: #3463845 in Books
- Published on: 2015-04-30
- Released on: 2015-04-28
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .23" w x 7.50" l, .41 pounds
- Binding: Paperback
- 112 pages
About the Author
Gurmukh Singh
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Good practical reference
By Reader from Texas
This book is recently published, April 2015, and it covers Nagios, Ganglia, Hadoop monitoring and monitoring best practices.
The first part is rightfully devoted to Nagios. Nagios is covered quite in depth: install, verification and configuration. It gives you the right balance: it does not say everything that there is in a Nagios manual, but tells you sufficient information to install Nagios and prepare it to monitor specific Hadoop daemons, ports, and hardware.
The same goes for Ganglia: it is covered in sufficient detail for one to be able to install and run, with enough attention to Hadoop specifics.
What I did not find in the book, and what could be useful, is the fact that both Nagios and Ganglia are installed by the leading distributions: Cloudera Manager, Hortonworks Ambari and MapR. With these, one does not have to install and not much to configure, so it would have helped to apply the lessons learned to the specific configuration in each distribution. Nevertheless, there are enough companies who prefer to roll their own when it comes to Hadoop management and monitoring, and for whom it would be helpful to learn the install. Anyway, sometimes things don’t work as planned, and it is always good to know what’s under the hoot.
Now comes the overview of Hadoop daemons, YARN framework and Nagious server that comes with it. Here the books covers all that we might want to monitor, and how to connect Nagios and Ganglia with it. The book ends with a couple pages of best practices.
All in all, it is a worthwhile overview. Its only competitor would be “Hadoop Operations” by Eric Sammer, but the reviewed book is dedicated to monitoring and nothing else, so it covers some areas that Eric’s book does not. One can wish for some more material, and it may come in a second edition. Meanwhile, anybody who deals with monitoring Hadoop will find something here. Add your own experience, put it in a blog – guest posters welcome – and you can make Hadoop behave.
0 of 0 people found the following review helpful.
Reference for Hadoop administrators and practitioners
By Oleg Okun
After setting up a Hadoop cluster the next important task is to check how it operates in order to learn about failures and the ways to prevent them. This short book describes tools, checks and metrics needed to accomplish this task. Ganglia and Nagios - monitoring tools chosen by the author - are described in detail. Hadoop administrators are the main target audience of this book, though other Hadoop professionals may find it useful as a reference, too, because despite of its slim size, the book is full of Linux commands, installation instructions and diagrams greatly facilitating the learning process.
0 of 0 people found the following review helpful.
Good reference book for Hadoop Administrators!
By Viral Patel
I loved the content coverage of this book. Author has made sure to cover all the points briefly and detailed explanation wherever needed. Loved the topics like tools available for monitoring Hadoop, best practices and my personal favorite HDFS and MapReduce checks. Linux commands makes Hadoop admin and other users life easier. Graphical representation of topics is simple and understandable by all users. Packt always amazes us with each new book. It focuses on niche skills area where reader needs more reference books.
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