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Cloud Service Provider Storage Optimization
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SOLUTION 02

Cloud Service Provider Storage Optimization

Plan hot, warm and archive tiers for cloud operations.

Separate active, mixed and archive data before selecting media. Confirm workload placement, service objectives, capacity growth, compatibility and supply by RFQ.

RFQ
configuration review
01
THE CHALLENGE

The problem this solves

Cloud operators need capacity to grow without forcing every workload onto the same media or tying archive growth to the performance tier.

03
RECOMMENDED ARCHITECTURE

A workload-led architecture

  1. Classify data by access pattern, durability need and service objective.
  2. Assign active and mixed workloads to suitable NVMe or SATA SSD families.
  3. Place archive data on an enterprise HDD tier with a defined restore path.
04
RECOMMENDED CONFIGURATION

A configuration to start from

01
Record current workloads, data movement rules and recovery expectations.
02
Define capacity, interface and failure-domain requirements for each tier.
03
Confirm the tier BOM, compatibility, documents and commercial terms by RFQ.
05
DELIVERY SCOPE

What the RFQ can define

  1. Data-tier and growth review
  2. Media-family mapping for each workload tier
  3. Written BOM, compatibility questions and delivery confirmation
06
WHO IT'S FOR

Target customers

Public cloud providersmanaged hosting providersCDN operatorscolocation service providers
RFQ
configuration review

The tier map separates workload roles before products are selected. Service results and commercial terms are confirmed for the actual environment in the RFQ.

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