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What are you waiting for? We've got Hadoop covered from every angle.



Our new monitoring capability for Hadoop was released just a few months ago and more recently we announced TrueSight Capacity Optimization support for both Cloudera Enterprise and Hortonworks Hadoop environments here. We've been managing and scheduling batch jobs for Hadoop for quite some time with Control-M.


Hadoop environments process data sets across clusters of computers using simple programming models. They are designed to efficiently scale up and handle changes in the volume and velocity of data necessary for many key processing components for IT infrastructure and applications. The key benefit of these environments is to not rely so much on the hardware for high availability but rather the Hadoop libraries themselves.


When things go wrongand they sure can when you're dealing the amount of data that Hadoop handleswhat do you do?


Your Hadoop clusters can fail without notice and lots of downstream processing can get jammed up for you to sort through. Having the visibility from TrueSight Event and Impact management as well as traditional monitoring can save the day.


TrueSight Operations Management supports monitoring of all the major distributions of Hadoop, including:

  • Apache Hadoop
  • IBM InfoSphere BigInsights
  • Cloudera
  • Hortonworks
  • MapR


Using the power of TrueSight Operations Management and dynamic threshholds, you can be alerted as soon as something goes out of wack according to your unique environment.


IT Data Analytics also ships with TrueSight Operations Management 10+ and includes a Hadoop Content Pack for further troubleshooting.


For more information about Capacity Optimization for Hadoop, see:

TrueSight Capacity Optimization to plan and manage Hadoop resources


For more information about monitoring using the Patrol for Hadoop Knowledge Module (KM), see:

Hadoop Getting Started


For more information about Control-M and Hadoop, see:

Control-M for Hadoop