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