What is the primary criteria that should be considered for performance-sensitive application shares with sequential.1/O?

For performance-sensitive applications with sequential I/O patterns, such as large file transfers, video streaming, or backup operations, the primary performance metric is throughput. Throughput, measured in megabytes or gigabytes per second (MB/s or GB/s), quantifies the rate at which large, contiguous blocks of data are transferred. This metric directly reflects the system's ability to sustain high-speed data movement, which is the defining characteristic of sequential workloads. Maximizing throughput is the main goal for these types of applications.

A. IOPS: IOPS (Input/Output Operations Per Second) is the primary performance metric for random I/O workloads, such as databases or VDI, not sequential workloads.
B. Connections: The number of connections is a measure of concurrent load or scale, not the direct performance metric for the I/O pattern itself.
C. Block Size: Block size is a characteristic of the I/O operation that influences performance, but it is not the primary metric used to measure it.

1. Nutanix Files v4.4 Design Guide: In the "Workload Types" section, it states, "Sequential workloads consist of reading and writing large files, such as with video editing, media rendering, and high-performance computing (HPC). Throughput (MBps) is the key metric for sequential workloads."

2. Nutanix Files v4.4 Solutions Guide: Under the "Performance" section, the documentation clarifies, "For random workloads, the key metric is IOPS. For sequential workloads, the key metric is throughput."

3. Nutanix University - Nutanix Unified Storage Administration (NUSA) v6.0 Student Guide: In the module discussing Nutanix Files performance, the courseware distinguishes between workload types, emphasizing that throughput is the critical consideration for sequential I/O patterns, while IOPS is critical for random I/O.