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Monitoring Hadoop

You're reading from  Monitoring Hadoop

Product type Book
Published in Apr 2015
Publisher
ISBN-13 9781783281558
Pages 100 pages
Edition 1st Edition
Languages
Author (1):
Aman Singh Aman Singh
Profile icon Aman Singh

Chapter 5. MapReduce Checks

The Hadoop cluster might have many jobs running on it at any given time, making it extremely important to monitor and make sure that it is running perfectly. The Hadoop clusters are multi-tenant clusters, which mean that multiple users with different use cases and data sizes run jobs on it. How do we make sure that each user or job is getting what it is configured for on the cluster?

In this chapter, we will look at the checks related to MapReduce and its related components. The following topics will be covered in this chapter:

  • MapReduce checks

  • JobTracker and related health checks

  • CPU utilization of MapReduce jobs

  • Memory utilization of MapReduce jobs

  • YARN component checks

  • Total cluster capacity in terms of memory and CPU

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