Real-Time Hadoop Cluster Monitoring Guide

To monitor the status and performance of Hadoop cluster in real-time, the following methods can be used:

1. Utilize the monitoring tools provided by Hadoop: Hadoop cluster comes with built-in monitoring tools such as the Hadoop management interface (http://:50070) and the YARN management interface (http://:8088), which allows users to view the status of the cluster, task execution progress, and other information.
2. Utilize third-party monitoring tools such as Ambari, Cloudera Manager, and Ganglia for a more comprehensive and real-time monitoring of various cluster metrics like CPU utilization, memory usage, and disk IO.
3. Utilize command line tools: You can use specific command line tools to monitor the Hadoop cluster in real time, such as the jps command to check the running status of various components in the Hadoop cluster, and the hadoop fsck command to examine the consistency and integrity of the HDFS.
4. Utilize custom monitoring scripts: You can write custom monitoring scripts to monitor the Hadoop cluster, which can periodically collect various metrics and output the results to log files or monitoring systems for real-time viewing of the cluster’s status and performance.