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Hadoop Cluster Deployment

You're reading from   Hadoop Cluster Deployment Construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781783281718
Length 126 pages
Edition 1st Edition
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Author (1):
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Danil Zburvisky Danil Zburvisky
Author Profile Icon Danil Zburvisky
Danil Zburvisky
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Table of Contents (13) Chapters Close

Monitoring MapReduce


When it comes to monitoring the MapReduce status in the current Hadoop implementation, all required metrics can be obtained on the JobTracker level. There is no reason to monitor individual TaskTrackers, at least on an alert level. A periodic report on the number of alive and dead TaskTrackers should be sent out to monitor the overall framework health.

JobTracker checks

The following is the list of host-level resources to monitor on a JobTracker:

  • Check if the server is reachable using ping. Type: critical

  • Check disk space on logs and system volumes. JobTracker doesn't preserve state on a local filesystem, but not being able to write to the log files due to low disk space will cause issues. Type: critical

  • Check swap usage on the server. Type: critical

The following checks are specific to JobTracker process::

  • Monitor memory usage. You can monitor JobTracker memory usage by checking HeapMemoryUsage.used and HeapMemoryUsage.max variables. Type: critical

  • Checking the SummaryJson...

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