Growing data
Environments where application, database or file data is outgrowing current storage.
Scalable storage and data-management for applications, virtual workloads, databases, files, objects, analytics and backup repositories, architected for performance, resilience and controlled growth.
A conceptual sequence used to explain the service, not a customer deployment.
Scalable storage and data-management designed around the applications and data it serves, covering capacity, performance, protection and controlled migration.
Assessment and sizing against workloads and growth
Storage architecture and tiering
Protection, replication and controlled migration
Lifecycle management
Environments where application, database or file data is outgrowing current storage.
Estates spanning virtual machines, databases, files, objects and analytics.
Teams that need replication and backup repositories designed in, not bolted on.
Storage sized and tiered to the workloads it serves.
Protection and replication designed for availability and recoverability.
Capacity planned so growth is controlled, not surprising.
Data moved through an approved, low-risk sequence.
Review data types, workloads, performance and growth requirements.
Size and architect storage, tiering, protection and replication.
Move data through a controlled, tested migration plan.
Operate protection and lifecycle against agreed responsibilities.
Applications, virtual workloads, databases, files, objects, analytics and backup repositories, sized and architected around the data they hold.
Protection, replication and lifecycle management are part of the design, so availability and recoverability are considered alongside capacity and performance.
Describe the workloads, capacity and protection needs. CDS shapes the storage design around them.