SRDF/Metro has been implemented with the bias setting. The R1 side of the pair is configured as the bias side.
How does the device bias work with the R2 device if the R1 array has a failure?
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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