A customer recently purchased multiple HPE StoreOnce appliances. They are experiencing slower performance than expected when performing backups to the new solution.
What should the customer do to improve performance?
A.
Validate that the HPE StoreOnce systems are performing deduplication and compression.
B.
Schedule VLT, NAS, and Catalyst backups for server workloads at separate times.
C.
Match the data allocation size for workloads on the server to the data allocation size on HPE StoreOnce.
D.
Run multiple backups in parallel to improve aggregate throughput to HPE StoreOnce.
Running multiple HPE StoreOnce backup jobs or streams in parallel generally increases aggregate ingest throughput compared with processing a single sequential data stream. StoreOnce appliances are designed for concurrent backup operations across supported Catalyst, VTL, and NAS configurations. A lone stream may fail to utilize available CPU, disk and network resources even when the appliance appears underperforming. Dividing large backup workloads into multiple sessions or scheduling appropriate concurrent jobs helps use those resources more effectively. The number of sessions must remain within product limits, however; too much parallelism creates contention and can reduce throughput. Validating deduplication settings is worthwhile but not the direct optimization asked about. Matching unrelated allocation sizes is not a standard blanket fix, and spreading every backup protocol into entirely separate time windows may sacrifice available concurrency. A structured performance assessment should compare source-server throughput, target session counts, network saturation and StoreOnce resource utilization. The recommended general tuning action is to increase parallel backup activity in a controlled way.
Study Guide Reference: StoreOnce ingest performance, concurrent backup streams and throughput optimization.
Official reference(s): StoreOnce QuickSpecs
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