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Overview

  Log processing was one of the original purposes of MapReduce. Unfortunately,
using Hadoop for MapReduce processing of logs is somewhat troublesome.
Logs are generated incrementally across many machines, but Hadoop MapReduce
works best on a small number of large files. Merging the reduced output
of multiple runs may require additional mapreduce jobs.  This creates some 
overhead for data management on Hadoop.

  Chukwa is a Hadoop subproject devoted to bridging that gap between logs
processing and Hadoop ecosystem.  Chukwa is a scalable distributed monitoring 
and analysis system, particularly logs from Hadoop and other large systems.

  The Chukwa Documentation provides the information you need to get
started using Chukwa. You should start with the {{{./design.html}
Architecture and Design document}}.

  If you're trying to set up a Chukwa cluster from scratch, you should
read the {{{./admin.html}Chukwa Administration Guide}} which
shows you how to setup and deploy Chukwa.

  If you want to configure the Chukwa agent process, to control what's
collected, you should read the {{{./agent.html}Agent Guide}}. There's
also a  {{{./collector.html}Collector Guide}} describing that part of
the pipeline.
     
  And if you want to use collected data, read the
{{{./programming.html}User and Programming Guide}}

  If you have more questions, you can ask on the
{{{mailto:chukwa-user@incubator.apache.org}Chukwa mailing lists}}