Storage sized for the data, not just the disk.

Scalable storage and data-management for applications, virtual workloads, databases, files, objects, analytics and backup repositories, architected for performance, resilience and controlled growth.

How it works Concept model
1 2 3
  1. 01 · Assess Size the data and workloads Capacity · performance · growth
  2. 02 · Architect Design storage and protection Tiering · protection · replication
  3. 03 · Migrate Move and manage the lifecycle Migrate · protect · manage

A conceptual sequence used to explain the service, not a customer deployment.

What it is

Scalable storage and data-management designed around the applications and data it serves, covering capacity, performance, protection and controlled migration.

  1. 01

    Assessment and sizing against workloads and growth

  2. 02

    Storage architecture and tiering

  3. 03

    Protection, replication and controlled migration

  4. 04

    Lifecycle management

Who it is for

Growing data

Environments where application, database or file data is outgrowing current storage.

Mixed workloads

Estates spanning virtual machines, databases, files, objects and analytics.

Protection needs

Teams that need replication and backup repositories designed in, not bolted on.

What you get

Performance

Storage sized and tiered to the workloads it serves.

Resilience

Protection and replication designed for availability and recoverability.

Utilisation

Capacity planned so growth is controlled, not surprising.

Controlled migration

Data moved through an approved, low-risk sequence.

How we deliver it

  1. Step 1

    Assess

    Review data types, workloads, performance and growth requirements.

  2. Step 2

    Design

    Size and architect storage, tiering, protection and replication.

  3. Step 3

    Migrate

    Move data through a controlled, tested migration plan.

  4. Step 4

    Manage

    Operate protection and lifecycle against agreed responsibilities.

Questions about this service

What workloads does the storage support?

Applications, virtual workloads, databases, files, objects, analytics and backup repositories, sized and architected around the data they hold.

Is data protection included?

Protection, replication and lifecycle management are part of the design, so availability and recoverability are considered alongside capacity and performance.

Start with the data you need to hold.

Describe the workloads, capacity and protection needs. CDS shapes the storage design around them.