Within Intelligent Operations, Capacity Configurations have been set to Auto Detect for Reserve Capacity For Failure. For an RF2 cluster with 10 nodes, what effect does this have on Capacity Runway?

In Nutanix Intelligent Operations, the Capacity Runway feature forecasts resource depletion. When "Reserve Capacity For Failure" is set to "Auto Detect" for a cluster with Redundancy Factor 2 (RF2), which provides N+1 redundancy, Prism Central automatically reserves resources to tolerate a single host failure. To ensure the most conservative and safest forecast, it reserves the full amount of CPU, RAM (memory), and storage from the single largest host in the cluster. This action ensures that the calculated runway accurately reflects the cluster's ability to sustain operations after the loss of its most resource-intensive node.

A. This is incomplete. It correctly identifies reserving storage and memory from the largest node but omits CPU, which is also a critical resource tracked and reserved for capacity planning.
B. This is incorrect. The reservation is based on the node with the largest resource capacity (CPU, RAM, storage), not the one with the fastest processing speed. It also omits storage.
D. This is incorrect. The reservation is not a fixed percentage. It is dynamically calculated based on the resources of the largest node to cover a worst-case failure scenario.

1. Nutanix Prism Central Guide (pcv2022.9), Intelligent Operations Guide > Capacity Runway Summary View: "Reserve capacity for failures: To reserve capacity for host failures, check the box and select one of the following from the drop-down list: Auto-Detect: Prism Central detects the cluster's HA capability and reserves capacity for n host failures. For n+1 clusters, Prism Central reserves the resources of the largest host." This confirms that for an N+1 (RF2) cluster, the resources of the largest host are reserved. The context of Capacity Runway inherently includes CPU, memory, and storage.

2. Nutanix University, Nutanix Hybrid Cloud Fundamentals Courseware, Module: Prism Central > Lesson: Planning and Forecasting: The course material explains that the "Auto-Detect" setting for failure resiliency in Capacity Runway for an N+1 cluster specifically reserves the capacity of the largest node. This reservation applies to all three resource pillars: CPU, memory, and storage, to provide a holistic and accurate forecast post-failure.