It depends on what stack you want to run. A quick cut:
- Worker Machines (DataNode, HBase Region Servers, Spark Worker Nodes)
- Dual 6 core CPU
- 64 to 128 GB RAM
- 3 X 3TB disk (JBOD)
- Master Node (Name Node, HBase Master,Spark Master)
- Dual 6 core CPU
- 64 to 128 GB RAM
- 2 X 3TB disk (RAID 1+0)
- Start with a 5 node setup and scale out as needed
- If your load is Mapreduce over HDFS, then run YRAN
- If your load is HBase over HDFS, scale depending on the computational
and storage needs
- If you are running Spark over HDFS, scale appropriately - you might
need more memory in the worker nodes
- In any case, have a topology and the processes that they would run. As
Soumya suggests, you can prototype at an appropriate scale using AWS.
Cheers
<k/.
On Wed, May 21, 2014 at 5:14 PM, Upender Nimbekar <upent...@gmail.com>wrote:
> Hi,
> I would like to setup apache platform on a mini cluster. Is there any
> recommendation for the hardware that I can buy to set it up. I am thinking
> about processing significant amount of data like in the range of few
> terabytes.
>
> Thanks
> Upender
>
