TECHNOLOGY SPOTLIGHT

HPE Alletra Storage MP: plan for changing workloads

Storage capacity and application demand do not always grow at the same rate. A disaggregated architecture gives infrastructure teams another way to plan expansion.

HPE Alletra Storage MP B10000 enclosure viewed from the front at an angle
Image: HPE. HPE Alletra Storage MP B10000. The quoted configuration may differ.

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Growth is rarely uniform

An organisation may need more capacity for retained data without the same increase in active workload demand. Another may need additional performance while its data volume remains relatively stable.

HPE Alletra Storage MP uses a disaggregated architecture. The B10000 platform brings that approach to enterprise storage, allowing the design discussion to consider the components of growth rather than only a fixed appliance size.

Architecture still needs a service design

Define the intended workloads, access protocols, performance and resilience requirements before selecting a configuration. Connectivity, support and the management environment form part of the service.

Expansion flexibility does not remove the need for capacity forecasting or application recovery. Confirm supported configurations and the conditions of any availability commitments in the actual proposal.

Plan the next change as well as the first installation

For a new deployment, document initial demand and the expected expansion path. For a replacement, include migration sequencing, application dependencies, acceptance testing and the period when both platforms must operate.

Fortem can source HPE Alletra configurations and scope the associated infrastructure requirements. Bring workload forecasts and recovery objectives so the quotation explains the design, support and transition work behind the hardware.

Sources

HPE: Alletra Storage MP B10000

HPE: platform architecture

Discuss HPE Alletra Storage MP

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