Abstract: Techniques are disclosed for volume promotion management and visualization in a metro cluster. For example, a system can include a processor coupled to a memory, the processor configured to: receive a promotion request directed to a selected volume of a cluster volume, wherein the cluster volume is established between a first volume in a first array and a second volume in a second array, the selected volume being one of the first and second volume; collect metrics that indicate respective characteristics associated with the cluster volume; and in response to receiving the request: compare the metrics with a database that associates permutations of metrics with respective conditions for promoting the selected volume, determine, based on the comparison, a target condition set having a permutation of metrics that matches the metrics, and perform a promotion procedure on the selected volume upon a determination that the target condition set is satisfied.

Abstract: Techniques are disclosed for volume promotion management and visualization in a metro cluster. For example, a system can include a processor coupled to a memory, the processor configured to: receive a promotion request directed to a selected volume of a cluster volume, wherein the cluster volume is established between a first volume in a first array and a second volume in a second array, the selected volume being one of the first and second volume; collect metrics that indicate respective characteristics associated with the cluster volume; and in response to receiving the request: compare the metrics with a database that associates permutations of metrics with respective conditions for promoting the selected volume, determine, based on the comparison, a target condition set having a permutation of metrics that matches the metrics, and perform a promotion procedure on the selected volume upon a determination that the target condition set is satisfied.

Abstract: A technique is disclosed for ending metro-clustering on metro volumes. The technique includes collecting a plurality of metrics that indicate respective characteristics associated with a metro volume. In response to receiving a request to end metro on the metro volume, the technique includes comparing the plurality of metrics with a database that associates multiple permutations of metrics with respective procedures for ending metro. The technique further includes identifying, based on the comparison, a target procedure having a permutation of metrics that matches the plurality of metrics and implementing the target procedure.

Abstract: There are disclosed computer-implemented methods, apparatus, and computer program products for scheduling snapshots. In one embodiment, the method comprises the following steps. The method comprises receiving performance data relating to a data storage system. The method also comprises determining, based on the performance data, a time for performing a snapshot of data stored on the data storage system. The method further comprises scheduling the snapshot according to the time.

Abstract: A technique is directed to managing a pool of slices provided by data storage equipment. The technique involves monitoring usage of the pool of slices provided by the data storage equipment, and generating an estimate based on the monitored usage of the pool of slices. The estimate identifies when a slice usage level of the pool of slices will reach a predefined usage level (e.g., the number of days remaining before the pool will become completely full, 90% full, 80% full, etc.). The technique further involves, in response to the estimate reaching a predefined threshold (e.g., when the number of days remaining is 5 days, 4 days, 3 days, etc.), performing a remedial activity to prevent full consumption of the pool of slices.