An existing customer is considering deploying a new Splunk project onto their Nutanix infrastructure.

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.