Designing and deploying a high-availability cluster generally is a complicated task. When it comes to the big data world, ensuring a running Hadoop cluster that responds efficiently to sudden failures might require a lot of expertise and remain complex to troubleshoot, maintain, and join failed nodes to the cluster manually. The HDP defines in its native Hadoop stack architecture a few approaches to undertake the Hadoop high-availability limitation. By ensuring the availability of the nodes that are running the master services in a Hadoop cluster, such as the NameNode, any other dependent service will be able to coordinate with other nodes to fail over by pausing specific services and start to recover the connection to the failed node. There are few alternatives to guarantee a successful NameNode failover, which can be depicted in two common use cases as the following: