@Michael Bronson What ever version of Ambari and Hadoop you see in the Hortonworks Documentation are certified (however some of them are declared as End Of Support as they are very old). However if you want to see the Support Policy and the End Of Life Information about various products then please refer to: https://hortonworks.com/agreements/support-services-policy/ Example HDP Current Support Matrix If you are planning to setup a new cluster then we will suggest you to go with the latest version of Ambari (2.6.1) https://docs.hortonworks.com/HDPDocuments/Ambari/Ambari-2.6.1.0/index.html HDP 2.6.4 (Or 2.6.3). https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.4/index.html . ... View more

@Mohammad Shamim The troubleshooting depends on which kind of Job are you running. However if a job is running slow then broadly there may be any of the following reason which needs to be check as First Ad. 1. Please check if there are any slow responding threads or threads that are consuming more CPU cycles? In such scenarios it is better to collect Thread dumps and the CPU metrics to understand the thread level issues/slowness/hung/CPU utilization etc. https://community.hortonworks.com/articles/72319/how-to-collect-threaddump-using-jcmd-and-analyse-i.html . 2. Please check the memory utilization by your Job and to find out if the memory that is allocated for your job execution is sufficient or needs some tuning. In that case based on the nature of your Job please check the following links: https://community.hortonworks.com/articles/22419/hive-on-tez-performance-tuning-determining-reducer.html https://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/ https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.2/bk_spark-component-guide/content/ch_tuning-spark.html . ... View more