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What Are The Important Hardware Considerations When Deploying Hadoop In Production Environment?

Answer»

Memory-System’s memory requirements will vary between the worker services and management services based on the application.

OPERATING System - a 64-bit operating system AVOIDS any restrictions to be imposed on the amount of memory that can be used on worker nodes.

Storage- It is preferable to design a Hadoop platform by moving the compute activity to data to achieve scalability and high PERFORMANCE.

Capacity- Large Form Factor (3.5”) disks cost less and allow to store more, when compared to Small Form Factor disks.

Network - Two TOR switches per rack provide BETTER redundancy.

Computational Capacity- This can be determined by the total number of MapReduce slots available across all the nodes within a Hadoop cluster.

Memory-System’s memory requirements will vary between the worker services and management services based on the application.

Operating System - a 64-bit operating system avoids any restrictions to be imposed on the amount of memory that can be used on worker nodes.

Storage- It is preferable to design a Hadoop platform by moving the compute activity to data to achieve scalability and high performance.

Capacity- Large Form Factor (3.5”) disks cost less and allow to store more, when compared to Small Form Factor disks.

Network - Two TOR switches per rack provide better redundancy.

Computational Capacity- This can be determined by the total number of MapReduce slots available across all the nodes within a Hadoop cluster.



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