An administrator is monitoring a vSAN ESA backed workload domain that is dedicated for running...

The readings indicate a write-path pressure condition rather than a read-cache, network, or device-health issue. In vSAN ESA, storage devices are organized into a storage pool architecture where NVMe devices contribute both capacity and performance. The dashboard shows low read latency and normal network throughput, so the read path and vSAN network are not the likely bottlenecks. Disk Group Health being green also rules out an obvious device or pool-health failure. AI inferencing environments can still create bursts of small random writes from logs, metadata updates, temporary files, checkpoints, and application-side write activity. When backend write latency rises while reads remain low, the most likely explanation is transient write-buffer or commit-queue pressure. ESA does not use the traditional OSA read-cache tier model, so option B is incorrect. ESA also does not rely on OSA-style inline deduplication and compression behavior for the stated cause, making option C incorrect. Normal network throughput makes option D unlikely. Reference topics: vSAN ESA Architecture, Storage Pool Metrics, Backend Write Latency, VCF Operations Storage Performance.