A storage administrator is investigating non-linear variations in throughput when zoning additional hosts to certain front-end adapters. They notice a certain performance characteristic having 10 identical hosts zoned to the same FA ports. After adding the 11th host, the throughput sometimes drops more than 20%.
What is the most likely cause of this behavior?
The metrics that are recommended to start analyzing the overall efficiency of the array due to cache are array-level % Hit and % Cache WP. The array-level % Hit metric shows the percentage of read requests that are satisfied from the cache memory, without accessing the physical disks. A high % Hit value indicates that the cache is effective in reducing the read latency and improving the performance. The % Cache WP metric shows the percentage of cache memory that is occupied by write pending data, which is data that has been written to the cache but not yet destaged to the physical disks. A high % Cache WP value indicates that the cache is under pressure and may not have enough space to accommodate new write requests, which can lead to performance degradation. By monitoring these two metrics, a storage administrator can evaluate the overall efficiency of the array due to cache and identify any potential issues or bottlenecks.
System efficiency overview | Dell PowerMax: Data Reduction | Dell Technologies Info Hub
Metrics (PowerMax & VMAX) - VMware Docs
Replication cache | Dell EMC PowerMax and VMAX All Flash: TimeFinder SnapVX Local Replication
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