August 2015
Intermediate to advanced
278 pages
5h 54m
English
When we talk about handling big data and multi node clusters for distributed processing, we consider performance and efficiency as major factors. Monitoring of the YARN services includes collection of cluster, node, and service level metrics. Each of the YARN services exposes its monitoring information as JMX MBean object. As a cluster administrator, a person needs to monitor these metrics through detailed graphs and reporting tools, such as Jconsole, Ganglia, and so on. In this section, we'll discuss the different techniques used to monitor the YARN services.
JMX are the Java tools used for monitoring and managing applications, objects, and so on. The resources are represented as Managed Bean or simply ...
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