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When using the Sizer in Automatic mode, it can provide various configurations based on the specified workload and capacity requirements. The following configurations are possible:

6x NX-8055-G7:

Each node has 2 x 7.68TB SSDs and 10x 6TB HDDs.

This configuration balances high-performance SSDs with large-capacity HDDs, suitable for mixed workload environments.

4x NX-1075S-G7 + 4x NX-8035-G7:

NX-1075S-G7 nodes have 4x 3.85TB SSDs each.

NX-8035-G7 nodes have 6x 3.84TB SSDs each.

This combination provides high SSD storage capacity across different node types, optimized for performance-intensive workloads.

References:

Nutanix Sizer Documentation: Details on how the Sizer tool calculates and recommends configurations.

Nutanix Hardware Specifications: Specifications for different node models and their storage capabilities.

To ensure that an RF2 (Replication Factor 2) cluster can survive a complete rack failure without negatively affecting workload performance, it is important to have sufficient nodes distributed across multiple racks to maintain data availability and redundancy.

Current Cluster Configuration:

30 nodes distributed as 10 nodes per rack across three racks.

40TB usable storage per node (total 1.2 PB).

Current utilization: 900TB.

Surviving a Complete Rack Failure:

With RF2, data is replicated to two nodes. To survive a complete rack failure, each rack should have enough nodes to ensure that data can be replicated across the remaining racks.

Adding 3 additional nodes per rack (total 9 nodes) ensures that the cluster can still function with 27 nodes across three racks, maintaining redundancy and performance.

Avoiding Single Points of Failure:

Ensuring that each rack has a balanced number of nodes helps avoid single points of failure and ensures that workloads can continue to operate without performance degradation.

By expanding the cluster to 39 nodes (13 nodes per rack), the administrator ensures that the cluster can handle a complete rack failure while maintaining sufficient storage capacity and performance.

References:

Nutanix Bible, Cluster Resiliency and RF2 Configurations​​.

Nutanix-NDB-User-Guide, Guidelines for Adding Nodes to a Cluster​​.

C. Inline compression:

Inline compression compresses data as it is written to the storage, reducing the amount of storage used and improving capacity utilization immediately. This is highly effective for reducing the storage footprint of a Splunk workload.

D. Capacity tier de-duplication:

Capacity tier de-duplication eliminates duplicate copies of data, further reducing the storage requirements. This is particularly useful for environments with repetitive data patterns, like log files generated by Splunk.

References:

Nutanix documentation and best practices on storage capacity optimization highlight the use of inline compression and de-duplication as key techniques for reducing storage usage and improving overall storage efficiency.