Which of the following should be monitored to ensure a Nutanix cluster is performing efficiently when adding new VMs?

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Monitoring CPU wait time is crucial for assessing the performance of a Nutanix cluster, especially when adding new virtual machines (VMs). CPU wait time refers to the period during which the CPU is idle, waiting for data to be fetched from memory or from a storage device. High CPU wait times can indicate that the cluster is becoming saturated with resource demand, due to either an increase in VMs or insufficient resources to handle the workload.

When new VMs are added, it increases the overall demand on the cluster's CPUs. If the CPUs are frequently idling while waiting for I/O operations to complete, this can lead to degraded performance for all VMs running on the cluster. Therefore, maintaining an optimal CPU wait time is essential for ensuring the cluster can efficiently handle the workload without bottlenecks.

While disk usage, VM responses, and network throughput are important performance indicators, they may not provide as direct a reflection of CPU performance in the context of adding new VMs as CPU wait time. Disk usage can be monitored to prevent storage saturation, VM responses give insights into overall VM performance, and network throughput measures data transfer rates, but all these factors intertwine with CPU wait time and could ultimately lead back to the CPU becoming a limiting factor for performance

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