Estimating the cost of the Hadoop cluster
In this recipe, we will estimate the costing for the Hadoop cluster and see what factors to a take into account. The exact figures can vary according to the hardware and software choices.
The Hadoop cluster is a combination of servers, network components, power consumption, man hours to maintain it, software license costs, and cooling costs.
How to do it...
In this recipe, there is nothing to execute or do by logging into the cluster, but it is more of an estimation which will be governed by the following mentioned factors.
Each server in the Hadoop cluster will at least fall into three categories: Master nodes, Datanodes, and Edge nodes.
Costing master nodes: Intensive on memory and CPU, but need less of disk space.
- Two OS disks in Raid 1 configuration
- Two disks for logs and two disks for Namenode metadata
- At least two network cards bounded together with minimum 1 Gbps
- RAM 128 GB, higher if the HBase master is co-located on a Namenode
- CPU cores per master...
